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Journal articles on the topic 'Rice pests'

Author: Grafiati
Published: 7 June 2025
Last updated: 26 June 2025

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1

Islam, Z., K. L. Heong, M. Bell, et al. "Current status of rice pests and their management in Assam, India-a discussion with extension agents." International Rice Research Notes 29, no. 2 (2004): 95–97. https://doi.org/10.5281/zenodo.6823853.

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This article 'Current status of rice pests and their management in Assam, India-a discussion with extension agents' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.
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2

WAHYUN, WIWIN CINDYTIA, and ARJON SAMUEL SITIO. "Pest Detection Expert System And Method Using Bayes Rice Diseases." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 2 (2020): 313–19. http://dx.doi.org/10.47709/cnapc.v2i2.411.

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Indonesia is included in an agricultural country that is rich in agriculture, fertile land in Indonesia allows for the growth of various types of plants, one of which is rice. But in the cultivation of rice plants, it will never be separated from pests and diseases of rice plants, so that the growth of rice plants is not optimal. Due to the large number of pests and diseases that can attack rice plants, it is necessary to take proper care in dealing with pests and diseases of rice plants to avoid losses that can result in reduced production of rice plants. Therefore an expert system was created which was expected to help farmers in consulting about diseases and pests contained in their rice plants to the experts without having to meet with experts directly. In its identification, the expert system for diagnosing ahama and rice disease uses the Bayes method and uses the Website in its implementation.
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3

Romena, A., F. Medrano, L. Sunio, E. Camanag, V. Viajante, and R. C. Saxena. "Resistance of Wild Rices to Insect Pests." International Rice Research Newsletter 14, no. 5 (1989): 15–16. https://doi.org/10.5281/zenodo.7155901.

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This article 'Resistance of Wild Rices to Insect Pests' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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4

Windi, Windi Tamara, Novriyenni, and Husnul Khair. "Application of Case Based Reasoning Method to Diagnose Rice Plant Diseases." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 3, no. 1 (2023): 498–503. http://dx.doi.org/10.59934/jaiea.v3i1.372.

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Rice (Latin: Oryza sativa) is one of the most important cultivated crops in civilization. Although it mainly refers to a type of cultivated plant, rice is also used to refer to several types of the same genus (genus), commonly referred to as wild rice. The problem that often arises is that many rice plants are susceptible to pests and diseases during the planting period. Some pests and diseases that can attack rice plants include: leaf blight, grass, tongguo, rice spout, and dwarf grass. Generally, when rice plants are attacked by pests and diseases, farmers will immediately use pesticides or treatment methods that are sometimes not in accordance with pests. As a result, treatment is not optimal and can even cause new pests and diseases. The purpose of this study is to assist farmers in identifying early symptoms of plant diseases and pests of rice plant diseases using the case base reasoning method, so that the treatment of plant diseases and insect pests is more concentrated and maximal.
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5

Otamirzayev, N., and R. Ibodullayeva. "Type of pests in agrobiocenosis of rice and pest control." E3S Web of Conferences 258 (2021): 04032. http://dx.doi.org/10.1051/e3sconf/202125804032.

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In the article, 10 species of pests that damage rice plants during the season in the rice agrobiocenosis were identified. Leptestheria dahalacensis Sars, Apus concriformis Sh., Corn stalk Ostrinia nubilalis Hb, and Cephus pygmaeus have been reported to cause damage to rice grasses.A growth calendar has been developed. In the pest experiment during the rice germination period, biological effectiveness of the drug was the highest for 15 days, accounted for 93.9%, in the variant treated with Nurell D 55% em.k at rate of 1.5 l/ha. When the variant was treated with Tayshin 500 s.d.g (Clothianidin) at rate of 0.06 kg/ha, the effectives of the drug were 93.3% in 14 days. In the experiment, Nurell D 55% em.k (1.5 l/ha) was used against the main pests (0.06kg/ha) yielded 70.7 q/ha in the variant in which the chemical agent was used, and 10.1 additional yields were reported. The results showed that the yield of “Iskandar” variety was 73.8 q/ha, which was 13.2 q/ha more than the control, when Nurell D 55% em.k (1.5 l/ha) against the main pests was applied. Whereas new chemical Tayshin 500 s.d.g. (0.06kg/ha) was used in the variant, in which the yield was 70.7 q/ha, and it was more by 10.1 q/ha than the control variant.
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6

Zheng, Qiong, Wenjiang Huang, Qing Xia, et al. "Remote Sensing Monitoring of Rice Diseases and Pests from Different Data Sources: A Review." Agronomy 13, no. 7 (2023): 1851. http://dx.doi.org/10.3390/agronomy13071851.

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Rice is an important food crop in China, and diseases and pests are the main factors threatening its safety, ecology, and efficient production. The development of remote sensing technology provides an important means for non-destructive and rapid monitoring of diseases and pests that threaten rice crops. This paper aims to provide insights into current and future trends in remote sensing for rice crop monitoring. First, we expound the mechanism of remote sensing monitoring of rice diseases and pests and introduce the applications of different commonly data sources (hyperspectral data, multispectral data, thermal infrared data, fluorescence, and multi-source data fusion) in remote sensing monitoring of rice diseases and pests. Secondly, we summarize current methods for monitoring rice diseases and pests, including statistical discriminant type, machine learning, and deep learning algorithm. Finally, we provide a general framework to facilitate the monitoring of rice diseases or pests, which provides ideas and technical guidance for remote sensing monitoring of unknown diseases and pests, and we point out the challenges and future development directions of rice disease and pest remote sensing monitoring. This work provides new ideas and references for the subsequent monitoring of rice diseases and pests using remote sensing.
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7

Fabellar, L. T., W. Telvapuchom, D. Kilin, et al. "Monitoring Susceptibility of Rice Pests to Insecticides." International Rice Research Newsletter 13, no. 2 (1988): 24–25. https://doi.org/10.5281/zenodo.7135996.

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This article 'Monitoring Susceptibility of Rice Pests to Insecticides' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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8

Alieu, MOININA, LAHLALI Rachid, and BOULIF Mohammed. "A conceptual framework for achieving rice self-sufficiency in Sierra Leone." Moroccan Journal of Agricultural Sciences 2, no. 3 (2021): 130–37. https://doi.org/10.5281/zenodo.8052978.

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Rice production in Sierra Leone is confronted with problems relating to pests, climate change and general rice production management practices. The present paper reviews the problems associated with rice production and conceptualizes a framework on possible solutions to achieving rice self-sufficiency in Sierra Leone. It further focuses on the research concerning the contributions of agronomic and pest management practices towards boosting rice production. This review has helped inventory the key pests (insect pests, diseases, and weeds) that affect rice production in Sierra Leone. It revealed that among diverse varieties of rice, the new varieties adapt to fertilizer use. There is little information and knowledge about pesticide use to control rice pests. Furthermore, the country’s stagnant dependence on imported rice accentuates the problem of achieving rice self-sufficiency. We recommend a conceptual framework to achieve self-sufficiency in rice. Also, there is a need to carry out a rice pest survey in order to provide information about the biodiversity in the rice ecologies. 
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9

Velusamy, M., and M. Subramanian. "Control of Rice Pests with Phosphamidon 85% Wp." International Rice Research Newsletter 12, no. 3 (1987): 29. https://doi.org/10.5281/zenodo.7122695.

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This article 'Control of Rice Pests with Phosphamidon 85% Wp' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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10

Kumari, Kiran, Tamoghna Saha, and S. N. Singh. "Integrated Pest Management Practices for Major Insect Pests of Rice." Current Journal of Applied Science and Technology 31, no. 2 (2018): 1–5. http://dx.doi.org/10.9734/cjast/2018/45873.

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11

Chakravarthy, A. K. "Insect Pests on Main and Ratoon Rice." International Rice Research Newsletter 12, no. 4 (1987): 35–36. https://doi.org/10.5281/zenodo.7123187.

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This article 'Insect Pests on Main and Ratoon Rice' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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12

Cao, Yiran. "Detection and classification of pests and diseases in rice leaf images based on deep learning algorithms." Applied and Computational Engineering 74, no. 1 (2024): 219–24. http://dx.doi.org/10.54254/2755-2721/74/20240477.

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Rice is one of the important food crops worldwide, but it is susceptible to various pests and diseases during its growth process, leading to yield reduction and even death. Therefore, it is very important to detect and categorize rice pests and diseases in a timely and accurate manner. In this paper, we use the dataset from Kaggle public database, which is divided into two categories of images: "normal leaves" and "infested by pests and diseases", and configure AlexNet, Vgg and MobileNetV2 models based on Pytorch framework to detect and classify rice pests and diseases in a timely and accurate manner. MobileNetV2 model was configured based on Pytorch framework to detect and classify pests and diseases in rice leaf images. Through the changes of the loss and Accuracy curves of AlexNet, Vgg and MobileNetV2 models, we found that all three deep learning models have good training effect and can well predict whether the rice leaf images are infested by pests and diseases. The final results show that the prediction accuracy of all three sets of deep learning models reaches more than 97%, and they can detect pests and diseases on rice leaf images very accurately. This means that we can use these models to quickly and accurately detect and categorize rice pests and diseases, so that timely measures can be taken to prevent the spread of pests and diseases and improve the yield and quality of rice.
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13

Meneses-Carbonell, R. "Major Insect Pests of Rice in Cuba." International Rice Research Newsletter 11, no. 5 (1986): 31. https://doi.org/10.5281/zenodo.7002381.

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This article 'Major Insect Pests of Rice in Cuba' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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14

Kamal, N. Q., A. N. Karim, and S. Alam. "Some Common Predators of Rice Insect Pests." International Rice Research Newsletter 12, no. 3 (1987): 34. https://doi.org/10.5281/zenodo.7122715.

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This article 'Some Common Predators of Rice Insect Pests' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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15

Puspitasari, Novianti, Anindita Septirini, Rian Bintang Paripurna, and Lalu Delsi Samsumar. "Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method." Journal of Information Technology and Its Utilization 6, no. 2 (2023): 71–78. http://dx.doi.org/10.56873/jitu.6.2.5271.

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Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.
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16

Prakasa, Rao P. S., and C. Gangadharan. "Promising Long-Duration Lowland Rices with Resistance to Key Insect Pests of Kharif Rice." International Rice Research Newsletter 11, no. 4 (1986): 18–19. https://doi.org/10.5281/zenodo.7121935.

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This article 'Promising Long-Duration Lowland Rices with Resistance to Key Insect Pests of Kharif Rice' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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17

Nurhasan, H. L. Susilawati, and Supriatna. "The dynamic of pests and plant diseases during three consecutive rice growing seasons." IOP Conference Series: Earth and Environmental Science 1039, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1755-1315/1039/1/012030.

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Abstract Pests and diseases are significant factors that affecting global rice production. There is a need that pests and diseases have continuously been controlled, in order to solve the pest and disease problem. The aim of this study was to observe the population dynamics of pests and diseases infestation in lowland rice field during different cropping seasons. The data of pest and disease infestation in Pati District, Central Java Province, Indonesia during the Rainy Season (RS) 2018/2019, the Dry Season (DS) 2019, and the RS 2019/2020 were observed and analyzed. The results showed that the rice fields in Pati were susceptible to stem borer, brown plant hopper, rats, fake white pests, blast and bacterial blight during three consecutive seasons. Tungro was not found. During both the RS and DS, the areas of rice paddy in Pati approximately 470 ha season−1 were affected by stem borer. The second largest damage rice area approximately 221 ha season−1 was affected by blast. Grain loses due to pests and diseases infestation during the RS was higher than during the DS. Micro-climate significantly affected pests and plant diseases. The dynamic of pests and plant disease infestation provide information early warning for high-risk areas of rice production and for pests-diseases management.
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18

Ainunnisa, I., and H. Haerani. "The identification of pests and diseases of rice plants using sentinel-2 satellite imagery data at the end of the vegetative stage." IOP Conference Series: Earth and Environmental Science 1230, no. 1 (2023): 012148. http://dx.doi.org/10.1088/1755-1315/1230/1/012148.

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Abstract One of the factors that affect production yield of cultivation crops, including rice plants, is pest/disease attacks. Various types of pests/diseases are often found in rice cultivation such as rats, stem borers and rice leaf folders. The damage caused by these pests/diseases can lead to production decreases and crop failure. To prevent an increase in pest infestation, monitoring can be carried out by employing remote sensing technologies such as Sentinel 2 satellite imagery. The identification of rice plant pests/diseases can be done using Vegetation Indices such as NDVI and NDRE, due to their sensitivity to plant chlorophyll. The purpose of this study was to identify infected pest and disease of rice plants in paddy fields by using Sentinel-2 satellite imagery. The methods of this study were spatial analysis and simple linear regression analysis, by looking at the relation between Vegetation Indices and rice productivity. The research results showed that based on the low value of NDVI and NDRE at the end of vegetative stage, some of rice fields were infected with pests and diseases. From field observation, it was found that the pests and diseases included rats, rice leaf folders, borers and blasts. Pests/diseases infestation in paddy fields lead to a low Vegetation Index value which results in low rice production. Comparing the NDVI and NDRE, NDRE was better in detecting pests and diseases due to its sensitivity to the plants’ chlorophyll.
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19

Panaliswamy, P. T., and A. Dakshinamurthy. "Biogas to Control Rice Storage Pests." International Rice Research Newsletter 11, no. 6 (1986): 25. https://doi.org/10.5281/zenodo.7122033.

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This article 'Biogas to Control Rice Storage Pests' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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20

Subramanian, S., and A. Gopalaswamy. "Effect of Silicate Materials on Rice Crop Pests." International Rice Research Newsletter 13, no. 3 (1988): 32. https://doi.org/10.5281/zenodo.7136070.

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This article 'Effect of Silicate Materials on Rice Crop Pests' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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21

Frida, Erna, Ferry Rahmat A. Bukit, Suherman, Syiska Yana, and Bunga Fisikanta Bukit. "Application of Solar Energy-Based Pest Control Tools to Improve the Quality of Rice Plants to Reduce Farmer Losses." ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat 10, no. 1 (2025): 48–52. https://doi.org/10.32734/abdimastalenta.v10i1.18047.

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Rice is one of the most important staple crops in Indonesia. Rice is the main source of food for the majority of Indonesia's population, including the Stabat area, which is a small town part of Langkat Regency, North Sumatra Province. Rice itself needs water to grow and develop, and is a plant that is no stranger to pests in the form of birds, mice, javelin, and so on. In dealing with pests, farmers in Stabat usually still use traditional methods by installing scarecrows and using pesticides to kill the pests. The work carried out by always going to the fields takes up a lot of energy and time from farmers. The University of North Sumatra Community Service Team offers a solution, namely making tools to protect rice plants from pests (javelin, aphids, caterpillars, mice, fungi) using pest detection sensors to help farmers in caring for rice to maintain the quality and quantity of rice through spraying pests to reduce losses incurred by farmers, especially during the harvest period. Solar energy-based pest control tool to improve the quality of rice plants to reduce losses. Farmers can also reduce the spraying of rice pests using chemicals so that soil fertility is maintained
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22

Anugrah, Chici, and Zulyusri Zulyusri. "Identifikasi Jenis Serangga Hama pada Tanaman Padi (Oryza Sativa L.) di Kampung Surau Kabupaten Dharmasraya." Asian Journal of Science, Technology, Engineering, and Art 2, no. 1 (2023): 56–70. http://dx.doi.org/10.58578/ajstea.v2i1.2401.

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The aim of the research is to identify insect pests on rice plants (Oriza sativa) in Kampung Surau, Dharmasraya Regency. The method used is direct capture, direct identification by looking at body morphology and using Google Lens. The results of the research show that insect pests in the rice fields are low because they only consist of 7 species of insect pests on rice plants (Oryza sativa), namely black ants (Dolichoderus thoracicus), stalked crabs (Anasa tristis), grasshoppers (Dissoitera carolina), rice caterpillar larvae ( Pyraloidea innota), leaf beetles (Cryptocephalus Beetles), white pests (Nhympula depunctalis) and fierce grasshoppers (Letocorisa acuta).
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23

Puspitasari, Novianti, Hamdani Hamdani, Heliza Hatta, Anindita Septiarini, and Sumaini Sumaini. "PENERAPAN METODE TEOREMA BAYES UNTUK MENDETEKSI HAMA PADA TANAMAN PADI MAYAS KALIMANTAN TIMUR." SINTECH (Science and Information Technology) Journal 4, no. 2 (2021): 155–62. http://dx.doi.org/10.31598/sintechjournal.v4i2.919.

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The community very much needs the nutritional needs of food during a pandemic. One source of nutrition that can be obtained is rice or rice derived from rice plants. Mayas rice is a rice plant with advantages in terms of high taste quality and components of certain physiological functions that are beneficial to health. However, Mayas rice has quite a lot of pest attacks, thus reducing agricultural production. On the other hand, the knowledge possessed by the community regarding pests in Mayas rice is still very minimal. Hence, people find it difficult to determine the proper pest control method. Bayes theorem applied in an expert system can be a solution to diagnose the types of pests that attack Mayas rice. The research data is a knowledge base that contains 32 symptoms that appear and 10 types of pests that attack Mayas rice. The results showed that the percentage of certainty in the diagnosis of the types of pests that pounded Mayas rice was based on the symptoms given by the user. The level of testing using ten test cases displays the results of an expert system for identifying types of pests that attack Mayas rice which is suitable for use with a percentage of 90%.
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Gunada, Reza Rama, Swastiko Priyambodo, and Dadan Hindayana. "Analysis of Rice Field Rat (Rattus argentiventer) Attacks After Owl (Tyto alba) Application in Karawang Regency, West Java." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 14, no. 2 (2025): 341. https://doi.org/10.23960/jtep-l.v14i2.341-351.

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Environmentally friendly control using biological methods for rice field rats is currently being carried out, one of which is using the natural enemy of rice field rats, namely the owl predator which can control rice field rat pests without damaging rice and land or causing pollution. This research aims to evaluate the value of losses experienced by farmers caused by rice field rat pests in Karawang Regency, analyze farmers' perceptions and behavior towards controlling rice field rat pests using owls, implementation of rice field rat pest control in Karawang Regency, and policy priorities that can be implemented and taken to optimize the sustainable use of owls in the context of controlling rice field rat pests in Karawang Regency. The method used is a survey and field observation which includes observing the number of active rat nests, calculating the percentage of attacks, calculating the number of owls after introduction, calculating crop production, and farmers' perceptions of controlling field rats using owls, as well as data analysis. Results showed that the use of owls is effective in controlling rice field rat pests, this is shown by the correlation between the high number of owls and the reduced level of rat attacks in rice field areas. Keywords: Ricefield rat, Owl, Policy, Predator, Rice.
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25

Banwo, O. O. "Management of major insect pests of rice in Tanzania – Review." Plant Protection Science 38, No. 3 (2012): 108–13. http://dx.doi.org/10.17221/4860-pps.

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The major insect pests on rice in Tanzania are listed and described. They are from five orders (Coleoptera, Diptera, Hemiptera, Lepidoptera and Orthoptera) and are discussed as stem borers, stem and root feeders, and leaf and panicle feeders. This review puts together the hitherto fragmented information available on the distribution, host range, biology/life-cycle and ecology, and the management measures of the insect pests of rice. Areas for future research are also mentioned.
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Bari, M. N., S. S. Haque, F. Nowrin, et al. "Eco-Engineering for Managing Insect Pests in Rice Fields." Bangladesh Rice Journal 27, no. 1 (2025): 49–60. https://doi.org/10.3329/brj.v27i1.77723.

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This study was consisted of eight experiments across Boro and Transplanted Aman seasons in various locations in Bangladesh to explore eco-friendly insect pest control methods in rice fields. The primary objectives were to safeguard natural-enemies through ecological engineering techniques and minimize the use of insecticides in rice farming. Ecological engineering aimed to boost biodiversity in the rice environment, fostering both plant and animal diversity to offer extra support for natural enemies in terms of sustenance and shelter. To fulfill these objectives, nectar-rich flowering plants such as marigold, cosmos, sesame and sunflower were planted strategically in rice bunds ensuring habitats by establishing crucial sources of food and protection for beneficial insects. These beneficial insects, in turn, contribute to biological pest control by establishing an equilibrium between harmful and beneficial insects within the rice ecosystem and consequently reducing the dependency on insecticides. The study consisted of two treatments, T1: Rice fields with flowering plants on bunds; and T2: Farmer's practice of prophylactic insecticide use. The study observed a significant increase in the predators and parasitoids abundance in eco-engineering field (T1) compared to insecticide-treated fields (T2). Across seasons and locations, T1 consistently showed higher populations of various beneficial insects such as spiders, damsel flies, dragon flies, ladybird beetles, carabid beetles, staphylinid beetles, green mirid bugs, and parasitic wasps compared to T2. Notably, despite maintaining insect infestation below the economic threshold level in both T1 and T2, T1 exhibited significantly higher egg parasitism rates of rice hispa, brown planthopper, yellow stem borer, and rice leafroller compared to T2. Remarkably, on an average while achieved statistically similar yields between T1 and T2 (5.99 t/ha and 5.93 t/ha, respectively), the study highlights the efficacy of manipulating habitats to enhance biocontrol services in rice fields. By providing nectar sources, alternative prey, and refuges for natural enemies, this approach offers promising prospects for reducing insecticide usage in rice fields by maintaining or potentially increasing rice yield equivalents. Bangladesh Rice J. 27(1): 49-60
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27

Swaminathan, K., R. Saroja, and N. Raju. "Influence of Source and Level of Nitrogen Application on Pest Incidence." International Rice Research Newsletter 10, no. 1 (1985): 24. https://doi.org/10.5281/zenodo.7008628.

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This article 'Influence of Source and Level of Nitrogen Application on Pest Incidence' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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Bonman, J. M., G. S. Khush, and R. J. Nelson. "Breeding Rice for Resistance to Pests." Annual Review of Phytopathology 30, no. 1 (1992): 507–28. http://dx.doi.org/10.1146/annurev.py.30.090192.002451.

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Heong, K. L., P. S. Teng, and K. Moody. "Managing rice pests with less chemicals." GeoJournal 35, no. 3 (1995): 337–49. http://dx.doi.org/10.1007/bf00989142.

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Wahyuni, Hafnes, Julia Syahriani Hasibuan, and R. B. Moh Ibrahim. "Farmer Community Empowerment Through Training on Making Simple Rice Husk Briquettes to Control Rice Rat Pest." ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat 7, no. 2 (2022): 598–601. http://dx.doi.org/10.32734/abdimastalenta.v7i2.7692.

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Rats are one of the main pests of rice plants. The problem of rat pests is often a factor that can reduce agricultural production, especially rice plant. Kota Datar village, Hamparan Perak District, is one of the areas where rice is grown a lot. One alternative that can anticipate the problem of environmentally friendly field mice is to encourage farmers to make briquettes from rice husks. This service was carried out in August-October in the Kota Datar village, Hamparan Perak District, Deli Serdang Regency. The results obtained are to find a solution for controlling rice rat pests that are environmentally friendly by utilizing rice husk leftover from rice milling, namely making simple briquettes
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Mohapatra, SD, Amrita Banerjee, RK Senapati, et al. "Current status and future prospects in biotic stress management in rice." Oryza-An International Journal on Rice 58, Special (2021): 168–93. http://dx.doi.org/10.35709/ory.2021.58.spl.7.

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Insect pests and diseases are the major biotic constraints in rice production. According to the ecosystem, the incidence of insect pests and diseases vary. The degree of loss due to different biotic stresses differ widely depending upon the predominant factors of abundance of these pests in a particular year, season or locality. Though around 800 insect species damaging rice in one way or another, the majority of them do very little damage. In India, about a dozen of insect species are of major pest status. Farmers bear an estimated average of 37% losses in rice crop due to insect pests and diseases every year. This review focuses on status of insect pests and diseases, extent of losses, different tools used in pest monitoring and management in rice. Among the important pest management tools used in rice pest and diseases management are forecasting model for real-time pest-advisory services, light trap, hyper-spectral remote sensing, computer-based decision support system, disruptive technologies (mobile apps).
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Jiang, Chongjing, Linhan Jiang, Runqi Li, Haiyan Shen, and Minxin Liu. "The Key Points of Rice Cultivation Technology and Integrated Pest Management Research in Dongtai City, Jiangsu Province." International Journal of Agriculture and Food Sciences Research 1, no. 2 (2024): 29–34. http://dx.doi.org/10.62051/ijafsr.v1n2.04.

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Effective monitoring and control of diseases and pests are crucial for ensuring and improving the quality of rice, as well as stabilizing rice yields. Correctly identifying the characteristics of diseases and pests, understanding their occurrence patterns, and their impact on rice production are essential for developing scientific, environmentally friendly, and efficient control measures. By adopting various rice cultivation techniques and integrated pest management strategies in Dongtai City, Jiangsu Province can effectively increase rice yield while ensuring food production safety. Comprehensive prevention and control of rice diseases and pests require the scientific application of multiple knowledge areas and measures to achieve better results in disease prevention while increasing rice productivity to unify social benefits with economic benefits.
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Yekti, Pulih Asih Akas. "INVENTORY OF PESTS IN FOOD WAREHOUSES." QUANTUM JOURNAL OF ENGINEERING, SCIENCE AND TECHNOLOGY 5, no. 4 (2024): 1–9. https://doi.org/10.5281/zenodo.14114615.

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Rice as the most important staple food controls the livelihood of many people and is aparameter of the country's economic and social stability which is used as a source of energy andcarbohydrates. Insect's pest infestation on rice product cause a serious damage either in quantitative orqualitative aspect. Therefore, a study was conducted to determine the insects associated with rice instorage. This study aims to find out the various types of pests that exist in private contractor warehouses,the percentage of rice damage with the duration of storage, and the appropriate time limit for storing ricetemporarily in the warehouse. This research is a descriptive study, using direst survey method, andandidentified population was all insects found on rice sacks. The results of the inventory can be found from90 samples of each of the 250 grams of rice with a storage period of 1.5 months found several types ofwarehousing pests, namely Cryptolestes pusillus S, Acarus siro L., Sitophilus oryzae L, Triboliumcastaneum, Rhizopartha dominica F and Corcyra cephalonica Strint.
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Utomo, Pradityo, and Arief Budiman. "Sosialisasi Deteksi Dini Hama Wereng Menggunakan Teknologi Informasi di Desa Cabean, Kecamatan Sawahan, Kabupaten Madiun." JURNAL DAYA-MAS 5, no. 1 (2020): 1–6. http://dx.doi.org/10.33319/dymas.v5i1.32.

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Indonesia is one of the largest rice producing countries in the world. In rural areas, the majority of the population has a livelihood as rice farmers. Being a farmer also has several obstacles, one of which is the attack of planthopper on rice plants. This makes the yield less optimal. Farmers must be vigilant from the outset against planthopper pests. Onward with the development of technology, farmers can use information technology as a learning tool to detect planthopper pests early and control them. The result of the development of information technology that every community uses and owns is an Android-based smartphone. For this reason, with the socialization of the application of early detection of planthopper pests and their control using biological agents can help farmers in managing rice plants. The app is made based on Android, so farmers can install the application into a smartphone to detect planthopper pests. Whereas for the control of planthopper pests selected using Biological Agent, because Biological Agents are a safer way to control planthopper pests than using pesticides. By utilizing Android applications and biological agents, farmers are expected to get maximum yields.Keywords—: Rice; Wereng Pest; Socialization; Biological Agents.
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Elazegui, F. A., H. R. Rapusas, P. S. Teng, and H. J. Nesbitt. "Assessing the Prevalence of Rice Pests in Cambodia." International Rice Research Newsletter 17, no. 6 (1992): 26–27. https://doi.org/10.5281/zenodo.7219147.

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This article 'Assessing the Prevalence of Rice Pests in Cambodia' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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Budiarti, Lina, Siti Herlinda, Suwandi Suwandi, and Khodijah Khodijah. "Main and Ratooned Rice Pest Populations in Lowland Rice Fields, South Sumatra Applied Bioinsecticide from Entomopathogens." Jurnal Lahan Suboptimal : Journal of Suboptimal Lands 11, no. 1 (2022): 76–85. http://dx.doi.org/10.36706/jlso.11.1.2022.550.

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The pests that attack each plant phase also varies. The aimed of this study was to compare the main population of rice insect pests and ratooned in lowland rice field in the vegetative, flowering and milk ripening phase. The main bioinsecticide rice sprayed on rice canopy were comes from the entomopathogenic fungal conidia Metarhizium anisopliae, the entomopathogenic bacterium Bacillus thuringiensis, and as a control area without the application of bioinsecticide or synthetic insecticide. The results showed that population of fake white pests (Cnaphalocrosis medinalis) and white leafhoppers pest (Covana spectra) were more prevalent in vegetative phase rice compared to other types of pests such as green leafhoppers (Nephotettix spp.), Brown leafhoppers (Nilaparvata lugens), zig zag leafhoppers. (Recillia dorsalis), white-back leafhoppers (Sogatella furcifera), grasshoppers, mole cricket (Gryllotalpa gryllotalpa), and yellow rice stem borer (Scirpophaga incertulas). The Leptocorisa acuta and green ladybugs (Nezara viridula) began to attack the flowering and milk ripening phase, which was when the rice was aged about 54-68 days after transplanting (dat). Whereas in ratooned rice, the pest population of L. acuta has appeared on the first observation on rice aged 9 days after harvest (dah) until the ratooned rice was aged 58 days after harvesting. The population of pests was higher in land without bioinsecticide application compared to land applied of bioinsecticides. In ratooned rice, the pest population between the land applied with bioinsecticide M. anisopliae and B. thuringiensis was not significantly different from the land applied by B. thuringiensis which was sold in the market.
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Siahaan, Parluhutan, Saroyo Saroyo, Agustina Monalisa Tangapo, and Susan Marlein Mambu. "Diversity of Pests and Natural Enemies in Rice Fields in Kiniar Village, East Tondano District, North Sulawesi-Indonesia." Journal of Applied Agricultural Science and Technology 8, no. 2 (2024): 200–210. http://dx.doi.org/10.55043/jaast.v8i2.226.

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A study was conducted in Kiniar Village, East Tondano District, North Sulawesi, to investigate the variety of pests and their natural adversaries in rice fields. The primary objective of this research was to ascertain the count of insect that act as pests, the number of natural enemy, diversity index, dominance index, and species relative abundance of insect pests and natural enemies in rice fields in Kiniar Village. The results showed that there are 40 insects and spider from 29 families and eight orders in local rice cultivation in Kiniar Village. These species were further categorized into two classes, consisting of 20 pests and 20 natural enemies. The diversity index calculated for all species was 2.99, with separate values of 2.36 for insect pests and 2.42 for natural enemies. Regarding the abundance index, Leptocorisa acuta emerged as the primary pest species, boasting the highest index value at 28.86%, while Tetragnatha sp. stood out as the most prominent natural enemy, with a substantial index value of 32.17%. The dominance index, on the other hand, was determined to be 0.08, indicating that no single insect species exerted dominant control over rice cultivation in Kiniar Village. The diversity of natural enemies and pests is in the medium category. There are no species that dominate the rice fields in Kiniar village, either pests or natural enemies.
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38

Devie Rosa Anamisa, Budi Dwi Satoto, Muhammad Yusuf, Moch. Kautsar Sophan, and Fifin Ayu Mufarroha. "Application of Fuzzy Inference System Takagi-Sugeno Methods for Diagnosis of Diseases and Pests of Madura Paddy Rice Based on Symptoms." Technium: Romanian Journal of Applied Sciences and Technology 16 (October 29, 2023): 50–56. http://dx.doi.org/10.47577/technium.v16i.9958.

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Diseases and pests of lowland rice are one of the factors that can cause a decrease in rice yields. Therefore, it is necessary to have a diagnostic system to identify diseases and pests of paddy rice from an early age based on damage symptoms. The process of diagnosis requires expertise, knowledge, and experience from experts. Therefore, this research tries to build an expert system that can diagnose diseases and pests of paddy rice early by applying the Fuzzy Inference System Takagi with the Sugeno method. Fuzzy Inference System Takagi forms fuzzy sets using implication functions (rules). Rule composition is obtained from a data set of relationships between regulations, where the affirmation (defuzzification) and input from defuzzification is a constant or linear equation. The Sugeno method is used to diagnose diseases and pests of rice plants based on the symptoms experienced. This research aims to help plant pest control officers diagnose diseases and pests of paddy rice plants from the symptoms that attack the rice. The testing technique used is system accuracy testing and Mean Opinion Score (MOS) testing. The MOS test was carried out by involving 30 respondents consisting of 10 farmers and 20 extension workers, where 4.27 was obtained on a scale of 5 which was categorized into a good system. while testing the accuracy obtained from testing the system on two experts on diseases and pests of Madura paddy rice plants in 30 different cases has resulted in an accuracy rate of 86.66%. The expert system built in this study was able to diagnose 13 diseases and pests of Madura paddy based on the knowledge of two experts on 38 symptoms, and the plan was feasible to use and categorized into a good system.
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Simanjuntak, Ahmad Dahlan, Jhonson Efendi Hutagalung, and Abdul Karim Syahputra. "Implementasi Robot Orang-Orangan Sawah Supply Energi Matahari Memakai Microcontroller." Building of Informatics, Technology and Science (BITS) 4, no. 2 (2022): 759–67. http://dx.doi.org/10.47065/bits.v4i2.2101.

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Sparrows are a type of pest that is very detrimental to rice farmers, even though these bird pests are small in size but in very large numbers, causing rice farmers to be overwhelmed in protecting rice from pests. Efforts made by farmers in protecting rice from bird pests by using scarecrows that work less effectively, it is necessary to have a scarecrow robot that can work effectively by utilizing solar heat as an energy supply. The rice field robot will be placed in the middle of the rice field that has issued a grain with a size of 20mx20m by utilizing the LDR sensor as a switch to turn on and off automatically, where the robot is equipped with 4 sound sensors placed in each corner of the rice field to detect the sound of birds on the ground. when the robot's sound sensor detects the sound of bird pests, the DC motor mounted on the robot body will move to rotate the robot body left and right along with the servo installed on the two robot arms will move in opposite directions from 00-1800 or 1800-00 and the DFPlayer will make a sound to scare away bird pests that will attack rice. Finally, the author hopes that this research can be further developed so that it can increase the use of the robot in bird repellent
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Anjani, Agillia, Teguh Pribadi, and Ardiana Kartika B. "Identifikasi Serangan Serangga Hama di Pertanaman Padi (Oryza Sativa L.) di Lahan Persawahan Tinggarjaya." Proceedings Series on Physical & Formal Sciences 2 (November 10, 2021): 212–18. http://dx.doi.org/10.30595/pspfs.v2i.184.

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Rice crops is included into the family of Graminae that produces seeds from China. Rice Plant is the crops that produce rice, consumed approximately by 90 % from the whole citizens of Indonesia as the main food. This study aims to identify indect pest attacks in rice plantations in Tinggarjaya rice fields. From the results of the research that has been carried out, various kinds of insect pests were found in the Tinggarjaya rice fields. The main pests found were brown planthopper (N. Iguens), rice bug (Leptocorixa acuta), green grasshopper (Oxya serville), ground bedbug (Scotinophara coarctata F.), seed fly (Atherigona exigua), false white pest (Nymphula depunctalis guene), and green grasshopper (Atractomorpha crenulata). Each pest a different population density. Not all pests can be found at every stage of rice plant growth. The largest pest population was found in the generative stage.
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41

Shrivastava, S. K. "Changing Populations of Rice Insect Pests in Chhattisgarh, India." International Rice Research Newsletter 10, no. 5 (1985): 22. https://doi.org/10.5281/zenodo.7099777.

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This article 'Changing Populations of Rice Insect Pests in Chhattisgarh, India' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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42

Kholmurodov, Erkin, and Sardor Avazov. "Study on the main damaging pests in rice germination period in Uzbekistan." E3S Web of Conferences 563 (2024): 03007. http://dx.doi.org/10.1051/e3sconf/202456303007.

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Rice pest, disease, and weed control measures play a crucial role in ensuring the successful cultivation of rice and achieving high yields. In Uzbekistan, where rice cultivation is an important agricultural activity, it has been observed that approximately 5-6% of the rice harvest is lost due to pests. This loss underscores the importance of effective pest management strategies in rice farming. Pests, diseases, and weeds can significantly impact rice crops, leading to reduced yields and lower quality. Pest infestations can cause direct damage to rice plants, while diseases can weaken the plants and make them more susceptible to other stresses. Weeds compete with rice plants for nutrients, water, and sunlight, further reducing yields. To address these challenges, farmers in Uzbekistan and elsewhere employ various pest, disease, and weed control measures. These may include the use of chemical pesticides, biological control methods, and cultural practices such as crop rotation and mulching. Integrated Pest Management (IPM) approaches, which combine multiple strategies to manage pests, are also gaining popularity among rice farmers. Analyzing and studying the impact of pests, diseases, and weeds on rice crops can help farmers make informed decisions about pest management strategies. By understanding the specific challenges faced by rice farmers and the factors contributing to pest and disease outbreaks, researchers and policymakers can develop targeted interventions to improve rice yield and quality.
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Handayani, Retno Dwi, Ari Widiantoko, Juli Nursandi, and Irfan Afrega Saputra. "IMPLEMENTASI SISTEM CERDAS PENGENDALI HAMA BURUNG PADA TANAMAN PADI DI LINGKUNGAN INTEGRATED MULTI-TROPHIC AQUACULTURE (IMTA)." Jurnal Informatika 24, no. 1 (2024): 64–77. http://dx.doi.org/10.30873/ji.v24i1.4042.

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Birds are one type of pest that worries many rice farmers when they enter the harvest period. During the harvest period, farmers start to get busy again with activities to protect their crops so that birds don't eat them. Efforts made by farmers to repel bird pests are still carried out conventionally, namely by tying ropes to poles and making scarecrows which are moved by farmers. If birds enter the rice fields, this is deemed less effective and efficient. As a follow-up to this problem, this research aims to help farmers protect rice plants from bird pests during the pre-harvest season. This intelligent system was built using laser sensors and can automatically detect and control bird pests. This laser beam is reflected by mirrors installed on both sides of the rice field. This mirror is used to reflect laser light to detect the presence of bird pests and send data to the ESP8266 MCU node to instruct the AC motor to pull the tassel rope to repel bird pests. Based on the research results, this tool has been implemented at IMTA so that this tool can be used to detect the presence of bird pests and control bird pests so that it can be used as an effort to control bird pests. Apart from that, monitoring the work of this tool system can be done remotely via the website.
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44

Juanda, Juanda, Jannus Marpaung, Leonardus Sandy Ade Putra, Fitri Imansyah, and Redi Retiandi Yacoub. "PADDY PAST TRAP SYSTEM BASED ON LONG RANGE COMMUNICATION." Telecommunications, Computers, and Electricals Engineering Journal 1, no. 1 (2023): 48. http://dx.doi.org/10.26418/telectrical.v1i1.69895.

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Indonesia is an agricultural country that produces rice plants. The decline in crop yields was caused by pests and had an impact on rice plants which experienced yellowing leaves, broken stems, until the rice fruit became empty. Test results data in the form of numbers in certain units will be presented in the form of tables and graphs. To find out the symptoms or behavior of the system at the time of testing, an analysis is carried out. The research was conducted for 5 nights starting at 18.00 until 06.00 WIB. The LoRa sender will send data when a pest lands on a 1000-1500 VDC wire net. In the research conducted, a total of 97 pests were found. The peak of pest attacks occurs at 19:00 to 20:00 WIB. Walang sangit attacks rice plants in all phases, so it is not surprising that this pest has the largest number, namely 87 pests. The rain that falls makes the lights dim thereby reducing the interest of the pests in the pest traps. Lamps with a wavelength of 500 nm can attract the attention of nocturnal pests that attack rice plants at night.
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45

Nguyen, Van Huynh. "Insect and Vertebrate Pests of Deep Water Rice in the Mekong Delta, Vietnam." International Rice Research Newsletter 11, no. 5 (1986): 36. https://doi.org/10.5281/zenodo.7002084.

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This article 'Insect and Vertebrate Pests of Deep Water Rice in the Mekong Delta, Vietnam' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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46

Nigan, P. M., and R. A. Verma. "Insect Pests of Upland Rice in Uttar Pradesh." International Rice Research Newsletter 10, no. 6 (1985): 22. https://doi.org/10.5281/zenodo.7099915.

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This article 'Insect Pests of Upland Rice in Uttar Pradesh' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.
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47

Anjorin, Toba Samuel, and of Agriculture University of Abuja Nigeria Faculty. "FIELD PESTS OF RICE AND THEIR MANAGEMENT PRACTICES BY "FADAMA" III PARTICIPATING FARMERS IN ABUJA, NIGERIA." AFRICAN JOURNAL OF AGRICULTURE AND ALLIED SCIENCES (AJAAS) Volume 3, Issue 2 (2023): 56. https://doi.org/10.5281/zenodo.10259789.

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A diagnostic survey assessing the status of rice pests, and their management strategies by the "Fadama" III participating farmers in the Federal Capital Territory, Abuja, Nigeria was carried out Data from the survey were collected from the 28 production clusters in the 10 Fadama Development Areas in the six Area Councils. Semi-structured interviews, farm diagnostic surveys, and specimens taken from rice that was afflicted with pests and disease were employed as the instruments. Armyworm, with a prevalence of 28.91%, was the insect pest species with the highest incidence among the respondents, according to the statistics. Weeds were viewed as the primary obstacle on a rice farm by the majority of the study's participants (56.67%). The plant most resistant to herbicide application was Saciolepsis africana, with a mean frequency of 28.43%. The farmers were more concerned about managing weeds, birds and rodents on the field, but had little or no concern for rice insect pests. To enable sustainable rice production in the FCT, the implementation of a rice pest management plan for the rice farmers such as regular monitoring of pests at various growth stages and Integrated Pest Management (IPM) practices is a necessity.
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48

Anjorin, Toba Samuel, and of Abuja Nigeria University. "FIELD PESTS OF RICE AND THEIR MANAGEMENT PRACTICES BY "FADAMA" III PARTICIPATING FARMERS IN ABUJA, NIGERIA." AFRICAN JOURNAL OF AGRICULTURE AND ALLIED SCIENCES (AJAAS) Volume 3, Issue 2 (2023): 56. https://doi.org/10.5281/zenodo.10368958.

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A diagnostic survey assessing the status of rice pests, and their management strategies by the "Fadama" III participating farmers in the Federal Capital Territory, Abuja, Nigeria was carried out Data from the survey were collected from the 28 production clusters in the 10 Fadama Development Areas in the six Area Councils. Semi-structured interviews, farm diagnostic surveys, and specimens taken from rice that was afflicted with pests and disease were employed as the instruments. Armyworm, with a prevalence of 28.91%, was the insect pest species with the highest incidence among the respondents, according to the statistics. Weeds were viewed as the primary obstacle on a rice farm by the majority of the study's participants (56.67%). The plant most resistant to herbicide application was Saciolepsis africana, with a mean frequency of 28.43%. The farmers were more concerned about managing weeds, birds and rodents on the field, but had little or no concern for rice insect pests. To enable sustainable rice production in the FCT, the implementation of a rice pest management plan for the rice farmers such as regular monitoring of pests at various growth stages and Integrated Pest Management (IPM) practices is a necessity.
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Nugroho, Mursyid Sinung, and Eddy Nurraharjo. "Klasifikasi Hama Tanaman Padi berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network." BIOEDUSAINS:Jurnal Pendidikan Biologi dan Sains 6, no. 2 (2023): 672–82. http://dx.doi.org/10.31539/bioedusains.v6i2.8080.

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This research aims to classify the types of pests on rice leaves using Tensorflow with the CNN method to make it easier for the public to know the types of pests that exist on rice plants. The research results showed that initially the accuracy was only 61% but was successfully increased to 99% through various variation tests. Accuracy is affected by the background of the object and the distance of the device. Results show this model provides accurate predictions, with an average accuracy of around 90%. In conclusion, the results of rice plant pest classification using the CNN model for detecting rice plant pests using the Android-based Tensorflow framework make it easier to classify pest types on leafy rice plants.
 
 Keywords: CNN, Padi, Tensorflow
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Nurjannah, Wahyu Firmana Isnijar, Zakia Hanifah Salwa, Herlina Putri Endah Sari, and Jatu Purnamawati. "Keanekaragaman Hama Dominan pada Tanaman Padi (Oryza sativa L.) Di Langsa Timur, Aceh." Pro-Life 10, no. 2 (2023): 756–65. https://doi.org/10.33541/pro-life.v10i2.4402.

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Oryza sativa L. is a rice-producing food commodity plant that has high economic value, because of its function as staple food, source of income and source of nutrition for most of Indonesia's population. The availability of rice must always be guaranteed, but often encounters obstacles, one of which is the presence of pests. The purpose of this study was to determine the diversity and dominant pests species on rice plants in 3 villages, i.e Sukarejo, Alue Pineung and Cinta Raja Village, East Langsa District, Aceh. The method used in this research is descriptive explorative field observation using hand collecting sampling. Data analysis was carried out by describing pests, symptoms of attack and continued by calculating the value of the Shannon-Wiener diversity index. Based on the observations, the result showed 6 species of pests were found on rice which consist of 5 orders and 6 families, they are Leptocorisa acuta, Nezara viridula, Oxya serville, Lonchura leucogastroides and Pomacea caniculata. The diversity index values ​​in 3 villages were 1.41-1.72 with highest diversity index value from Alue Pineung Village. Of the 6 types of species, the dominant pest causing the most damage was Leptocorisa acuta (Walang sangit). This research is expected to be a reference in preventing pest attacks in the Langsa. Keywords: Diversity of pests, dominant pests, rice
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