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Journal articles on the topic 'Leaf and Fruit Diseases'

Author: Grafiati

Published: 18 May 2024

Last updated: 31 July 2025

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1

Anwar, Masrur, David Fahmi Abdillah, Ilham Basri, Yanuangga Galahartlambang, and Titik Khotiah. "Classification of Chili Fruit Diseases Using Deep Convolutional Neural Network Transfer Learning." Journal of Informatics Development 2, no. 2 (2024): 18–24. http://dx.doi.org/10.30741/jid.v2i2.1335.

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Chili peppers are among the highest-value agricultural commodities, often experiencing significant price fluctuations due to supply constraints. The rainy season frequently leads to crop failures caused by diseases affecting chili plants. Existing methods often struggle to accurately differentiate between similar symptoms on leaves and fruits, leading to misdiagnosis and ineffective disease management strategies. Early detection of these diseases, which manifest as symptoms on the leaves and fruits, is crucial for effective pest management. Common diseases include anthracnose, characterized by

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2

Nivetha., I., and M. Padmaa Dr. "Disease Detection in Tree Leaves and Fruits using Image Processing Techniques." Journal of Radio and Television Broadcast 3, no. 3 (2018): 24–28. https://doi.org/10.5281/zenodo.2293551.

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<em>India is the agriculture based country. Now a day, agricultural product yield is decrease for the reason of disease affect the plants like fungus, virus diseases. In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fru

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Islam, Sk Fahmida, Nayan Chakrabarty, and Mohammad Shorif Uddin. "Citrus leaf disease detection through deep learning approach." Bulletin of Electrical Engineering and Informatics 13, no. 4 (2024): 2643–49. http://dx.doi.org/10.11591/eei.v13i4.4521.

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The majority of people in the world directly or indirectly depend on agriculture. Plant diseases are a significant threat to agricultural production and food security. Due to its high nutritional value, citrus fruit is one of the most abundant fruits in the world. However, different diseases are responsible for degraded citrus production as well as financial losses to the farmers. Traditionally, visual observation by experts has been attended to diagnose plant diseases. Usually, plant leaf disease recognition methods mainly rely on expert experiences to manually extract the colour, composition

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Deepali Joshi, Et al. "Automatic Classification of Mango Leaf Disease based on Machine Learning and Deep Learning Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 1398–405. http://dx.doi.org/10.17762/ijritcc.v11i10.8683.

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Fruits are the essential source of nutrition for the human body. The fruit needs to be nurtured and cared for in order to remain healthy. Lack of upkeep, illnesses, blemishes, and fungi result in a considerable loss of produce and profit. One of the important and popular fruit that is consumed worldwide is Mango. It is a fragile fruit and is vulnerable to diseases that affects its quality and quantity. Manual inspection for diseases or infection is a tedious process and requires abundant resources such as time and labour. Manual inspection is inefficient and inaccurate. Automatic inspection on

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Harteveld, D. O. C., O. A. Akinsanmi, K. Chandra, and A. Drenth. "Timing of Infection and Development of Alternaria Diseases in the Canopy of Apple Trees." Plant Disease 98, no. 3 (2014): 401–8. http://dx.doi.org/10.1094/pdis-06-13-0676-re.

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Alternaria leaf blotch and fruit spot of apple caused by Alternaria spp. cause annual losses to the Australian apple industry. Erratic control using protectant fungicides is often experienced and may be due to the lack of understanding of the timing of infection and epidemiology of the diseases. We found that Alternaria leaf blotch infection began about 20 days after bloom (DAB) and the highest disease incidence occurred from 70 to 110 DAB. Alternaria fruit spot infection occurred about 100 DAB in the orchard. Fruit inoculations in planta showed that there was no specific susceptible stage of

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Truong, Hong H., Toyozo Sato, Seiju Ishikawa, Ayaka Minoshima, Takeaki Nishimura, and Yuuri Hirooka. "Three Colletotrichum Species Responsible for Anthracnose on Synsepalum dulcificum (Miracle Fruit)." International Journal of Phytopathology 7, no. 3 (2018): 89–101. http://dx.doi.org/10.33687/phytopath.007.03.2658.

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By 2016, fruit rot and two different leaf diseases (leaf spot and leaf blight) were found on Synsepalum dulcificum (miracle fruit) in Tokyo, Kanagawa and Kagoshima prefectures of Japan. From the lesions, abundant conidial masses and acervuli of three Colletotrichum species, two of which produced sexual state, were observed. We conducted a pathogenicity assay using these Colletotrichum species on healthy fruits and leaves of S. dulcificum. Our artificial inoculation tests showed symptoms of disease on tested fruit and leaf and indicated all three Colletotrichum species as causal agents of anthr

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Aksoy, Serra, Pinar Demircioglu, and Ismail Bogrekci. "Web-Based AI System for Detecting Apple Leaf and Fruit Diseases." AgriEngineering 7, no. 3 (2025): 51. https://doi.org/10.3390/agriengineering7030051.

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The present study seeks to improve the accuracy and reliability of disease identification in apple fruits and leaves through the use of state-of-the-art deep learning techniques. The research investigates several state-of-the-art architectures, such as Xception, InceptionV3, InceptionResNetV2, EfficientNetV2M, MobileNetV3Large, ResNet152V2, DenseNet201, and NASNetLarge. Among the models evaluated, ResNet152V2 performed best in the classification of apple fruit diseases, with a rate of 92%, whereas Xception proved most effective in the classification of apple leaf diseases, with 99% accuracy. T

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Rehman, Samra, Muhammad Attique Khan, Majed Alhaisoni, et al. "Fruit Leaf Diseases Classification: A Hierarchical Deep Learning Framework." Computers, Materials & Continua 75, no. 1 (2023): 1179–94. http://dx.doi.org/10.32604/cmc.2023.035324.

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9

Jha, Sanjay Kumar, and Sita Lamichhane. "Fungal Diseases of Tomato in Kathmandu Valley." Journal of Nepal Biotechnology Association 4, no. 1 (2023): 72–74. http://dx.doi.org/10.3126/jnba.v4i1.53449.

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The infected parts of the tomato plant were collected from Jitpurphedi of Kathmandu, Nepal. The isolated fungi from the infected parts were Septoria lycopersici, Cladosporium oxysporum responsible for leaf spot, Phytophthora infestans and Rhizoctonia solani responsible for leaf blight, Cladosporium cladosporioides responsible for fruit rot, Leveilulla taurica responsible for powdery mildew and Plasmopara viticola responsible for Downey mildew disease. In the survey period, the highest incidence was found at leaf blight (30.08%) and the lowest at stem rot (4.64%). In the case of severity, the m

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Mudholakar, Sunita, Kavitha G, Kanaya Kumari K T, and Shubha G V. "Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 4043–51. http://dx.doi.org/10.22214/ijraset.2022.45868.

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Abstract: Citrus fruit diseases are the major cause of extreme citrus fruit yield declines. Plant disease detection and classification are crucial long term agriculture. Manually monitoring citrus diseases is quite tough. As a result, image processing is used for designing an automated detection system for citrus plant diseases. Image acquisition, image preprocessing, image segmentation, feature extraction and classification are main processes in the citrus disease detection process. Deep learning methods have recently obtained promising results in a number of artificial intelligence issues, l

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T. R., Prashith Kekuda, Raghavendra H. L., Shilpa M., Pushpavathi D., Tejaswini Petkar, and Ayesha Siddiqha. "ANTIMICROBIAL, ANTIRADICAL AND INSECTICIDAL ACTIVITY OF GARDENIA GUMMIFERA L. F. (RUBIACEAE)." International Journal of Pharmacy and Pharmaceutical Sciences 9, no. 10 (2017): 265. http://dx.doi.org/10.22159/ijpps.2017v9i10.20252.

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Objective: The present study was carried out to investigate antimicrobial, antiradical and insecticidal potential of leaf and fruit of Gardenia gummifera L. f. (Rubiaceae).Methods: The leaf and fruits were shade dried, powdered and extracted by maceration process using methanol. Antibacterial activity was evaluated against Gram positive and Gram negative bacteria by Agar well diffusion assay. Antifungal activity was determined against six seed-borne fungi by Poisoned food technique. Antiradical activity of leaf and fruit extracts was evaluated by 1,1-diphenyl-2-picrylhydrazyl (DPPH) and 2,2-az

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Kumakech, Alfred, Allan Tekkara Obonyom, Alexandrina Acipa, and Laban Frank Turyagyenda. "Reaction of Selected Citrus Cultivars to Pseudocercospora Leaf and Fruit Spot Disease Under Natural Infection in Northern Uganda." Journal of Agricultural Science 16, no. 4 (2024): 8. http://dx.doi.org/10.5539/jas.v16n4p8.

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Citrus is an important crop among many resource constrained subsistence farmers living in rural areas of Uganda. Citrus production is affected mainly by drought, declining soil fertility, pests and diseases. Among diseases, citrus leaf and fruit spot disease caused by fungus Pseudocercospora angolensis is currently one of the major constraints to the production of citrus in Uganda where millions of people rely on the crop for nutritional security and household income. The disease can lead to 50-100% fruit yield loss depending on environmental conditions, disease management and weather conditio

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B.R, SINGH, and TRIPATHI D.P. "LOSS DUE TO LEAF CURL AND SPOTTED WILT DISEASES OF TOMATO." Madras Agricultural Journal 78, January April (1991): 34–36. http://dx.doi.org/10.29321/maj.10.a01821.

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Trends on incidence and losses due to leaf curl (LCD) and spotted wilt (SWD) diseases of tomato in relation to their vectors were studied at Kanpur, India. The population of whitefly and thrips on tomato was found to be maximum respectively in February and March. The incidence of LCD was found maximum in January and February while that of SWD in March. The losses due to LCD were the reduction in plant height, number of fruits and fruit weight, while SWD, in addition, killed the plants resulting in total loss. The average yield loss/ha was 163.68 q and 126.12 q or Rs. 8184 and 6306 due to LCD a

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Xiao, Jia-Rong, Pei-Che Chung, Hung-Yi Wu, Quoc-Hung Phan, Jer-Liang Andrew Yeh, and Max Ti-Kuang Hou. "Detection of Strawberry Diseases Using a Convolutional Neural Network." Plants 10, no. 1 (2020): 31. http://dx.doi.org/10.3390/plants10010031.

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The strawberry (Fragaria × ananassa Duch.) is a high-value crop with an annual cultivated area of ~500 ha in Taiwan. Over 90% of strawberry cultivation is in Miaoli County. Unfortunately, various diseases significantly decrease strawberry production. The leaf and fruit disease became an epidemic in 1986. From 2010 to 2016, anthracnose crown rot caused the loss of 30–40% of seedlings and ~20% of plants after transplanting. The automation of agriculture and image recognition techniques are indispensable for detecting strawberry diseases. We developed an image recognition technique for the detect

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15

Raheeba Tun Nisa, Altaf Ahmad Wani, and Rameesa Rashid. "Chemical Management of Alternaria leaf and fruit spot of apple." International Journal of Current Microbiology and Applied Sciences 10, no. 12 (2021): 521–26. http://dx.doi.org/10.20546/ijcmas.2021.1012.057.

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In Jammu and Kashmir, a number of diseases like scab, Alternaria leaf blotch, Marsonena, sooty blotch, fly-speck and a number of post-harvest diseases pose a major threat to the apple industry. The occurrence of Alternaria leaf blotch in J&K was reported and the disease is prevalent in almost all the apple growing districts of Kashmir valley. Alternaria leaf blotch was considered a disease of minor importance in comparison to apple scab. However, the disease resulted in epidemic during summer of 2013, and about 40-60 per cent yield loss was reported. This epidemic was attributed to climate

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16

Sundaramoorthi, K., and Mari Kamarasan. "Integration of Deep Learning with Fox Optimization Algorithm for Early Detection and Classification of Tomato Leaf and Fruit Diseases." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19343–48. https://doi.org/10.48084/etasr.9216.

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Tomato is a common vegetable crop extensively cultivated in the farming lands in India. The hot climate of India is perfect for its development, but particular weather conditions along with many other aspects affect the growing of tomato plants. Apart from these natural disasters and weather conditions, plant diseases consist a major issue in crop production. Precisely classifying leaf and fruit diseases in tomato plants is a vital step toward computerizing processes. Traditional disease detection models for tomato crops often fall short in predictability. To address this, Machine Learning (ML

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Tagare, Mohammad M., Urmila R. Pol, Parashuram S. Vadar, and Tejashree T. Moharekar. "Detection of Jackfruit Leaf Disease Using Machine Learning and Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1871–76. https://doi.org/10.22214/ijraset.2025.68592.

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Abstract: The detection of diseases in agricultural crops plays a critical role in maintaining healthy yields. Jackfruit (Artocarpus heterophyllus), a tropical fruit, is susceptible to various diseases that impact its leaves. Timely disease detection can significantly reduce crop loss and improve the quality of the harvest. This paper proposes a system for detecting jackfruit leaf diseases using machine learning (ML) and deep learning (DL) techniques. A dataset of healthy and diseased jackfruit leaf images is used to train both traditional ML algorithms (Random Forest) and DL models (Convoluti

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Li, Tao, Wenzhong Zhu, and Xuan Che. "Design and Implementation of Apple Leaf Disease Recognition System Based on ResNet50." Journal of Computing and Electronic Information Management 12, no. 2 (2024): 96–104. http://dx.doi.org/10.54097/u65ay2y1.

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Timely identification of apple leaf diseases is critical to preventing crop losses and safeguarding yields. Spotted leaf drop, brown spot, gray spot, mosaic and rust are all common types of apple leaf diseases, and their presence signals a potential risk that could lead to significant reductions in fruit and crop yields. The apple industry is thus at risk of economic losses. In order to solve this problem, this study applies ResNet50, a deep learning model for image recognition and classification of apple leaf diseases, and develops an intelligent recognition system for apple leaf diseases by

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Subedi, Subash, Sheela Koirala, and Saraswati Neupane. "Diversity and occurrence of major diseases of vegetables and fruit crops during spring season at Aanbukhaireni rural municipality of Tanahun district, Nepal." Journal of Agriculture and Natural Resources 2, no. 1 (2019): 60–74. http://dx.doi.org/10.3126/janr.v2i1.26043.

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A survey has been conducted to assess the diversity and occurrence of major vegetables and fruits cultivated in Aanbukhaireni rural municipality of Tanahun district, Nepal during spring season of 2019.The surveyed areas were Satrasayaphant, Baradiphant and Dumridanda villages of ward no 1, Yeklephant, Markichowk and Pateni villages of ward no2 , Gaadapani village of ward no 3, Saakhar village of ward no 4 and Ghummaune village of ward no. 5. The surveyed area consists of upper tropical and sub tropical climate. The total no of farmers field selected for the survey was 34, 32, 24, 17 and 21 fro

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Kumiya, Radhika, DC Singh, GM Kavya, and Kiran Vashisht. "PHARMACOGNOSTIC AND PHARMACOLOGICAL PROPERTIES OF GAMBHARI FRUIT (GMELINA ARBOREA ROXB.): A REVIEW." International Journal of Research in Ayurveda and Pharmacy 14, no. 2 (2023): 136–41. http://dx.doi.org/10.7897/2277-4343.140257.

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Gmelina arborea Roxb. is one of the famous medicinal plants of the family Lamiaceae, which different Ayurvedic physicians widely prescribed as a drug of choice for treating many diseases. This drug is commonly named “Kashmarya” and is one of the popular medicinal plants mentioned in all classical textbooks of Ayurveda. It is also known as “Gambhari” because of its fast-growing property, and it is a widely propagated and cultivated tree that grows throughout India. In the Dashamoola groups of herbs, Gambhari (Gmelina arborea Roxb) is one of the components. In Ayurvedic classical textbooks, diff

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Jha, Sanjay Kumar, and Sita Lamichhane. "Study of Some Fungal Diseases of Tomato in Kathmandu Valley." AMC Journal (Dhangadhi) 4, no. 1 (2023): 1–7. http://dx.doi.org/10.3126/amcjd.v4i1.58826.

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Tomato plants were observed and collected the infected part from Jitpurphedi of Kathmandu, Nepal. These infected parts were kept in pathology lab for fungal isolation. The isolated fungus from the infected tomato plants were as Septoria lycopersici, Cladosporium oxysporum were responsible for leaf spot, Phytophthora infestans and Rhizoctonia solani were responsible for Leaf blight, Cladosporium cladosporioides was responsible for fruit rot, Leveilullataurica was responsible for powdery mildew and Plasmoparaviticola was responsible for downey mildew disease. In the survey period, the highest in

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Osipov, G. E., N. V. Petrova, and A. A. Karpova. "Biological and economic features of the new apple variety Renet Povolzhya." Agrarian science, no. 11 (November 25, 2023): 107–11. http://dx.doi.org/10.32634/0869-8155-2023-376-11-107-111.

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Relevance. The Republic of Tatarstan is located in the zone of risky fruit growing. In winter, frosts below -35 °C, thaws are not uncommon here, in spring during flowering – frosts, in summer – hot and dry weather. During the growing season, diseases are widespread – scab, moniliosis, pests – flower beetles, aphids, codling moths. All these factors negatively affect the yield and quality of fruits of apple varieties. To increase the production of apple fruits in the Republic of Tatarstan, new high-yielding varieties of apple trees, adaptive to abiotic and biotic stressors, with fruits of good

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Anwar, Masrur, Yosi Kristian, and Endang Setyati. "Klasifikasi Penyakit Tanaman Cabai Rawit Dilengkapi Dengan Segmentasi Citra Daun dan Buah Menggunakan Yolo v7." INTECOMS: Journal of Information Technology and Computer Science 6, no. 1 (2023): 540–48. http://dx.doi.org/10.31539/intecoms.v6i1.6071.

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Diseases that attack chili plants can be diagnosed early by observing symptoms or changes that occur in the leaves and fruit of the chili plant. However, diseases or pests that attack chili plants within a single plant can vary. In this study, YOLO v7 was used to perform leaf and chili segmentation on images, and the segmented results were then classified for chili plant disease using Deep Convolutional Neural Network (DCNN) Transfer Learning with the Fine Tuning method. The test results of the constructed model showed that the Yolo v7 segmentation accuracy was 0.970 on mAP50 when performing c

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Bagga, Manju, and Sonali Goyal. "Enhanced Deep Learning Framework for the Detection of Crop Leaf Diseases." International Research Journal of Multidisciplinary Scope 06, no. 02 (2025): 1163–80. https://doi.org/10.47857/irjms.2025.v06i02.03781.

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Crop diseases significantly impact food production, making their early identification crucial for farmers. In India alone, over 43,000 acres are dedicated to stone fruit cultivation, producing approximately 0.25 million tons annually. Identifying diseases in fruit leaves with the naked eye poses challenges due to the complexity of damaged leaf images, which often exhibit irregular shapes, varying sizes, rich colors, blurry boundaries, and cluttered backgrounds. Effective disease management relies on precise segmentation of plant leaf images, a task that has become more feasible with advancemen

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Poudel, Nabin Sharma, and Kapil Khanal. "Viral Diseases of Crops in Nepal." International Journal of Applied Sciences and Biotechnology 6, no. 2 (2018): 75–80. http://dx.doi.org/10.3126/ijasbt.v6i2.19702.

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Viral diseases are the important diseases next to the fungal and bacterial in Nepal. The increase in incidence and severity of viral diseases and emergence of new viral diseases causes the significant yield losses of different crops in Nepal. But the research and studies on plant viral diseases are limited. Most of the studies were focused in viral diseases of rice (Rice tungro virus and Rice dwarf virus), tomato (Yellow leaf curl virus) and potato (PVX and PVY). Maize leaf fleck virus and mosaic caused by Maize mosaic virus were recorded as minor disease of maize. Citrus Tristeza Virus is an

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Çetiner, İbrahim. "AppleCNN: A new CNN-based deep learning model for classification of apple leaf diseases." Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 15, no. 1 (2025): 51–63. https://doi.org/10.17714/gumusfenbil.1549410.

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Day by day, the world's population is increasing and the land people use for food is decreasing. Fruit trees in existing agricultural lands are under constant threat from numerous pathogens and insects. Therefore, continuous monitoring is important to ensure maximum yield. Apple is a very important fruit both in terms of consumer demand and global trade. However, apple growth, quality and yield can be affected by a number of diseases. The key to successful disease management and prevention of further outbreaks in apples is early and accurate identification of the disease. If apple foliar disea

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Patil, Pragati, Priyanka Jadhav, Nandini Chaudhari, Nitesh Sureja, and Umesh Pawar. "Deep learning for grape leaf disease detection." International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 2 (2025): 653. https://doi.org/10.11591/ijict.v14i2.pp653-662.

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Agriculture is crucial to India's economy. Agriculture supports almost 75% of the world's population and much of its gross domestic product (GDP). Climate and environmental changes pose a threat to agriculture. India is recognized for its grapes, a commercially important fruit. Diseases reduce grape yields by 10-30%. If not recognized and treated early, grape diseases can cost farmers a lot. The main grape diseases include downy and powdery mildew, leaf blight, esca, and black rot. This work creates an Android grape disease detection app which uses machine learning. When a farmer submits a sna

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Vrsaljko, Anđelko. "The Dynamic of Lead Accumulation in the Almond Leaves and in the Parts of the Fruit." Poljoprivreda 29, no. 1 (2023): 35–42. http://dx.doi.org/10.18047/poljo.29.1.5.

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Almond fruits (kernels) are considered to be healthy all across the globe as they contain, in addition to their high nutritional value, an increased concentration of essential biomolecules that have positive effects on human metabolism and, at the same time, prevent the most important immune diseases. , As a result, in the ecological conditions of the Ravni Kotari area, the two-year studies of lead (Pb) accumulation in the leaves and certain parts of the fruit were carried out, and their correlations were calculated. Subsequent to the day on which the fruit was set (DAFS) till germination, the

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Patience Abidemi Omololu, Victor Olusola Omololu, and Ayosunkanmi Temitope Ogunrinde. "Qualitative and quantitative phytochemical screening of Solanum torvum." International Journal of Science and Research Archive 14, no. 2 (2025): 973–79. https://doi.org/10.30574/ijsra.2025.14.2.0397.

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Solanum torvum is intensively used worldwide in herbal medicine in the treatment of different diseases condition. This study was carried out to investigate the presence of phytochemicals and to determine the percentage of phytochemical constituent in S. torvum leaf and fruit. Qualitative phytochemical screening carried out on S. torvum leaf and fruit shows that phenols, tannins, flavonoids, saponins, cardiac glycosides, steroids, terpenoids, anthraquinones and alkaloids were present. The quantitative phytochemical screening reveals that there is no significant difference in the tannin, terpeno

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Leonida, Belinda G., Noemi G. Laspiñas, and Greta G. Gabinete. "Survey of diseases affecting tropical fruit trees in Central Panay Island, Philippines." IOP Conference Series: Earth and Environmental Science 1208, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1755-1315/1208/1/012024.

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Abstract The study aimed to determine the diseases infecting the foliage and stems of tropical fruit trees such as durian (Durio zibethinus L.), langsat (Lansium domesticum), mangosteen (Garcinia mangostana), pomelo (Citrus maxima), and rambutan (Nephelium lappaceum L.), the species most affected, resistant and susceptible species. The study was conducted at the DBP Forest within the school reservation of the West Visayas State University-College of Agriculture and Forestry, Lambunao, Iloilo, Panay Island, Philippines. The data gathered were tabulated and analyzed using descriptive statistics.

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Jiang, Donghui, Miao Sun, Shulong Li, Zhicheng Yang, and Liying Cao. "EFS-Former: An Efficient Network for Fruit Tree Leaf Disease Segmentation and Severity Assessment." Agronomy 14, no. 9 (2024): 1992. http://dx.doi.org/10.3390/agronomy14091992.

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Fruit is a major source of vitamins, minerals, and dietary fiber in people’s daily lives. Leaf diseases caused by climate change and other factors have significantly reduced fruit production. Deep learning methods for segmenting leaf diseases can effectively mitigate this issue. However, challenges such as leaf folding, jaggedness, and light shading make edge feature extraction difficult, affecting segmentation accuracy. To address these problems, this paper proposes a method based on EFS-Former. The expanded local detail (ELD) module extends the model’s receptive field by expanding the convol

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Ashritha, K., K. Sandhya, Y. Uday Kiran, and V. N. L. N. Murthy. "Plant-Leaf Disease Prediction Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 121–28. http://dx.doi.org/10.22214/ijraset.2023.49338.

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Abstract: Brown spot, Mosaic, Grey spot, and Rust all significantly reduce apple yield. Rust is a sign of Foliar illness in this instance. The primary factor influencing apple output is the occurrence of apple leaf diseases, which results in significant yearly economic losses. Therefore, it is very important to research apple leaf disease identification. Plants are frequently attacked by pests, bacterial diseases, and other microorganisms. Inspection of the leaves, stem, or fruit usually identifies the attack's signs. Powdery Mildew and Leaf Blight are two common plant diseases that can cause

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Borisova, I. P., Yu N. Prihodko, and M. E. Podgornaya. "Test of fungicide Farmaiod, GS for apple tree viral diseases control." Horticulture and viticulture, no. 3 (July 10, 2019): 52–56. http://dx.doi.org/10.31676/0235-2591-2019-3-52-56.

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In the Krasnodar Territory, on the Renet Simirenko apple variety, symptoms corresponding to the manifestation of viral diseases were found: chlorotic leaf spot, dark green depressed spots on the fruit, which manifest themselves at the end of ripening before harvesting and during storage. Identification of pathogens was performed by Enzyme Immunoassay (ELISA). Samples were tested for the presence of apple chlorotic leaf spot virus (ACLSV), apple stem pitting virus (ASPV), apple stem grooving virus (ASGV), and apple mosaic virus (ApMV). As a result of the analysis, viruses of chlorotic leaf spot

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Hidayatullah Nuriadi, Siti, Erlin Sabri, Alyauma Hajjah, and Ramalia Noratama Putri. "Soursop Leaf Disease Detection With CNNs: From Training to Deployment." INOVTEK Polbeng - Seri Informatika 10, no. 2 (2025): 1185–96. https://doi.org/10.35314/sn8avr92.

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Soursop (Annona muricata) is a valuable tropical fruit crop that is highly susceptible to leaf diseases caused by fungal, bacterial, and viral infections. These diseases can significantly impact crop yield and quality, posing challenges for farmers, especially when early detection is delayed. This study proposes an automated solution using Convolutional Neural Networks (CNNs) to detect soursop leaf diseases through image classification. A dataset of 400 labelled leaf images, including healthy and diseased leaves (Leaf Rust, Leaf Spot, and Sooty Mold), was collected and preprocessed for the dat

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Hanif, Shazia, Abdul Ghani, Yasir Iftikhar, et al. "Impact of Phytophthora Spp. on Morphological, Physical, and Biochemical Parameters of Citrus reticulata." International Journal of Phytopathology 13, no. 2 (2024): 151–57. https://doi.org/10.33687/phytopath.013.02.4780.

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Citrus gummosis, caused by Phytophthora spp., is one of the economically critical fungal diseases prevailing in the major citrus-growing areas of the country. The fungus induces alterations in morphological and physiological parameters (leaf area, fruit weight, fruit volume, fruit length, fruit diameter, peel thickness, peel weight, rag weight, and juice weight). Therefore, the study was conducted to analyze the physical and biochemical parameters of citrus plants of various Citrus reticulata infected with phytophthora gummosis. Citrus leaves and fruits were collected to determine different mo

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Singh, Ram Lakhan, and Pankaj Singh. "Quantification of Phytochemicals Imparting Antioxidant Activities in Commonly Used Vegetables." International Journal of Applied Sciences and Biotechnology 6, no. 2 (2018): 97–102. http://dx.doi.org/10.3126/ijasbt.v6i2.19636.

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Plant derived phytochemicals have recently became of great importance in the protection of various diseases, like heart disease, cardiovascular disease, cancer, diabetes, Alzheimer’s disease, cataract and age related functional disorders caused by free radicals. The present study was carried out to explore the commonly used vegetables having higher content of antioxidant imparting phytochemicals such as ascorbic acid, carotenoids, total phenolic content, carbohydrate and protein content in commonly used vegetables. The results revealed that the concentration among tested samples ranged from 7.

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MASLOV, Olexander, Mykola KOMISARENKO, Dmytro PLIS, Svitlana PONOMARENKO, Tetiana OSOLODCHENKO, and Sergii KOLISNYK. "Analysis of chemical composition, antimicrobial, antioxidant activities of pomegranate fruit thick and green tea leaf extracts." Notulae Scientia Biologicae 16, no. 3 (2024): 12062. http://dx.doi.org/10.55779/nsb16312062.

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Infection diseases is a worldwide important problem for medicine and pharmacy. The purpose of this work was to study and compare phytochemical composition, antimicrobial, antioxidant potential of pomegranate fruit thick and green tea leaf liquid extracts. The quantification of biologically active substances (BAS) was performed using spectrophotometric, titrimetric, and HPLC analysis methods. Antioxidant activity was measured through a potentiometric method, while antimicrobial and antifungal effects were assessed using the well method and determining the minimum inhibition concentration. The t

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Saleem, Rabia, Jamal Hussain Shah, Muhammad Sharif, Mussarat Yasmin, Hwan-Seung Yong, and Jaehyuk Cha. "Mango Leaf Disease Recognition and Classification Using Novel Segmentation and Vein Pattern Technique." Applied Sciences 11, no. 24 (2021): 11901. http://dx.doi.org/10.3390/app112411901.

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Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as manual disease detection is not a feasible choice in this computerized era due to its high cost and the non-availability of mango experts and the variations in the symptoms. Amongst all the challenges, the segmentation of diseased parts is a big issue, being the pre-requisite for correct recognition and identification. For this purpose, a novel segmentation approach is proposed in this study to segment the di

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Siti, Zulaikha Muhammad Zaki, Asyraf Zulkifley Mohd, Mohd Stofa Marzuraikah, Azwan Mohammed Kamari Nor, and Ayuni Mohamed Nur. "Classification of tomato leaf diseases using MobileNet V2." International Journal of Artificial Intelligence (IJ-AI) 9, no. 2 (2020): 290–96. https://doi.org/10.11591/ijai.v9.i2.pp290-296.

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Tomato is a red-colored edible fruit originated from the American continent. There are a lot of plant diseases associated with tomatoes such as leaf mold, late blight, and mosaic virus. Tomato is an important vegetable crop that contributes to the world economically. Despite tremendous efforts in plant management, viral diseases are notoriously difficult to control and eradicate completely. Thus, accurate and faster detection of plant diseases is needed to mitigate the problem at the early stage. A computer vision approach is proposed to identify the disease by capturing the leaf images and de

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Akamatsu, Ena, Takanori Kai, Hideaki Hirabaru, et al. "(171) Blueberry Leaf Inhibits Hepatitis C Virus RNA Replication." HortScience 41, no. 4 (2006): 1082A—1082. http://dx.doi.org/10.21273/hortsci.41.4.1082a.

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Blueberry (Vaccinium sp.) fruits contain high concentrations of polyphenols such as anthocyanin. It is well known that polyphenols have antioxidant activity, so it is likely that the fruit has a possible preventative effect against several diseases like cancer. However, only a few reports so far have studied the human health benefits of the leaves. In this study, the antioxidant activity and antiviral effects of blueberry leaves were investigated. The leaves of three groups of blueberry, northern highbush blueberry (NHB), southern highbush blueberry (SHB), and rabbiteye blueberry (REB), were e

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Kushwaha, Brijesh Kumar. "Plant Leaf Disease Detection System Using CNN." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46905.

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Abstract: Fruit and vegetable crops experience diminished agricultural production output because of pests along with diseases that rank as major factors worldwide. The correct identification of these issues becomes vital because delayed detection results in decreased quantity and quality of yields which then causes problems for food supply networks and regional economic stability. Farmers traditionally monitor plant diseases through individual observation assisted by expert consultations because they search for clear indicators of leaf damage including discolorations or spotted lesions or dete

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Silva, Laércio J. da, Carla do C. Milagres, Derly José H. da Silva, Carlos Nick, and João Paulo A. de Castro. "Basal defoliation and their influence in agronomic and phytopathological traits in tomato plants." Horticultura Brasileira 29, no. 3 (2011): 377–81. http://dx.doi.org/10.1590/s0102-05362011000300020.

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The incidence of leaf diseases is one of the main factors limiting the tomato crop production, increasing the production cost due to excessive pesticide application. The basal leaf removal could reduce inoculum sources, disease severity and contribute to reducing the use of pesticide. Aiming to evaluate the efficiency of this practice on the reduction of tomato leaf diseases and the effect in the quality and in the productivity of the tomato plants for in natura consumption, two experiments were carried out to test four levels of basal leaf removal. Basal leaves removal, at fruit harvesting, i

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Ellis, M. A., M. Nita, and L. V. Madden. "First Report of Phomopsis Fruit Rot of Strawberry in Ohio." Plant Disease 84, no. 2 (2000): 199. http://dx.doi.org/10.1094/pdis.2000.84.2.199c.

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During spring (May and June) 1999, ≈30% of the fruit in a 0.5-ha commercial planting of strawberry (Fragaria × ananassa ‘Allstar’) was lost to an unknown fruit rot. The planting was established on black plastic (plasticulture) during summer 1998. Plasticulture is a relatively new system of perennial strawberry production in Ohio that is rapidly gaining popularity among growers (2). It was observed that the plastic beneath the plants in the plasticulture planting was covered with a layer of dead leaves from the previous season's growth, and virtually all rotted fruits were in contact with dead

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Mehrotra, Arushi. "Studies on diseases of some medicinal plants." Journal of Non-Timber Forest Products 12, no. 1 (2005): 43–55. https://doi.org/10.54207/bsmps2000-2005-394g40.

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Studies on diseases of medicinal plants were conducted in nurseries and herbal gardens in and around Dehra Dun and Rishikesh. In all 29 diseases were recorded on 17 medicinal plants of which 23 were new diseases hitherto unrecorded in the country. Out of 23 new diseases, 9 diseases namely Rhizoctonia leaf web blight of Rauvolfia canescens and Artemisia sp., Myrothecium fruit rot of Withania somnifera, Sclerotium leaf blight of Gloriosa superba and Spilanthes oleracea, Pseudocercospora leaf spotting and blight of Gloriosa superba, Colletotrichum leaf spot of Tylophora indica, Pseudocercospora l

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Armel, Assiéné Agamou Julien, Djeukeu Asongni William, Assiéné Oyong Damase Serge, and Nyangono Biyegue Fernande. "Exploring the Functional Properties of Organ Powders from Corchorus olitorius and Abelmoschus esculentus in Chronic Disease Management." Biotechnology Journal International 29, no. 4 (2025): 25–35. https://doi.org/10.9734/bji/2025/v29i4783.

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Aims: To determine the functional properties of Abelmoschus esculentus (AE) and Corchorus olitorius (CO) leaf and fruit powders and their relationship with antioxidant activity and essential nutrients. Methodology: Fresh leaves and fruits of these plants were harvested and processed into powders. Functional properties such as oil absorption capacity (OAC), water absorption capacity (WAC), solubility index (WSI), and porosity were evaluated. Data on nutritional composition and antioxidant activities were obtained from previous studies. Results: It was found that the fruit powders of CO and the

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Zaki, Siti Zulaikha Muhammad, Mohd Asyraf Zulkifley, Marzuraikah Mohd Stofa, Nor Azwan Mohammed Kamari, and Nur Ayuni Mohamed. "Classification of tomato leaf diseases using MobileNet v2." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 2 (2020): 290. http://dx.doi.org/10.11591/ijai.v9.i2.pp290-296.

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<span lang="EN-US">Tomato is a red-colored edible fruit originated from the American continent. There are a lot of plant diseases associated with tomatoes such as leaf mold, late blight, and mosaic virus. Tomato is an important vegetable crop that contributes to the world economically. Despite tremendous efforts in plant management, viral diseases are notoriously difficult to control and eradicate completely. Thus, accurate and faster detection of plant diseases is needed to mitigate the problem at the early stage. A computer vision approach is proposed to identify the disease by capturi

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S.Abirami, M. Thilagavathi. "Application of Image Processing in Diagnosing Guava Leaf Diseases." International Journal of Scientific Research and Management (IJSRM) 5, no. 7 (2017): 5927–33. http://dx.doi.org/10.18535/ijsrm/v5i7.19.

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Plant and leaf diseases in Guava result in poor plant growth and reduced fruit yields. Leaves are indicators of the health and growth of the Guava shrub/short tree that has its origin in tropical and subtropical regions. Precise diagnosing of diseases is vital, as remedies rely on it. Image processing in the place of manual/visual detection of Guava leaf diseases relieves from difficulties experienced, time consumed and inaccuracy resulted. In the present work resized leaf images with improved contrasts are subject to region growing segmentation, colour transformation (YCbCr,CIELAB), and Scale

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Bayram, Hande Yuksel, Harun Bingol, and Bilal Alatas. "Hybrid Deep Model for Automated Detection of Tomato Leaf Diseases." Traitement du Signal 39, no. 5 (2022): 1781–87. http://dx.doi.org/10.18280/ts.390537.

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Tomatoes are preferred by farmers because of their high productivity. This fruit has a fibrous structure and contains plenty of vitamins. Tomato diseases are generally observed on stem, fruit, and leaves. Early diagnosis of the disease in plants is of vital importance for the plant. This is very important for farmers who expect economic gain from that plant. Because if the disease is not treated early, these tomatoes should be destroyed. For these reasons, systems to diagnose the disease early are very important. In this study, a tomato leaf diseases classification model developed with deep le

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Arora, Healy, S. K. Jindal, Abhishek Sharma, Rupeet Gill, and N. Chawla. "Development and evaluation of hybrids resistant to late blight and leaf curl virus diseases in tomato." Genetika 54, no. 2 (2022): 801–16. http://dx.doi.org/10.2298/gensr2202801a.

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The current study in tomato (Solanum lycopersicum L.) was conducted at PAU, Ludhiana with the objective of developing hybrids possessing combined resistance to late blight and leaf curl virus diseases along with desirable horticultural characteristics. The experimental material which included 32 F1 hybrids (developed by line ? tester method), 12 parental lines (8 lines and 4 testers; including susceptible check Punjab Chhuhara) and standard check NS-524 were all planted in randomized complete block design with three replications. The values of ?2SCA/?2GCA were more than unity for all the trait

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(Dr.)Anil Kumar Kharya, (Dr )Anil Kumar Kharya, Dr )FirojAlam Dr.)FirojAlam, Ashish Kumar Maurya Ashish Kumar Maurya, and Harshit Yadav Harshit Yadav. "Papaya Leaf Extract and its Role in Fighting Dengue and Cancer." International Journal of Pharmaceutical Research and Applications 10, no. 3 (2025): 1494–509. https://doi.org/10.35629/4494-100314941509.

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Papaya (Carica papaya L.) is a tropical fruit widely cultivated for its nutritional, medicinal, and industrial applications. Rich in vitamins A, B, and C, calcium, iron, and the enzyme papain, papaya exhibitsdiverse therapeutic properties. The leaves,fruit, seeds, and latex contain bioactive compounds such as alkaloids, flavonoids, saponins, glycosides, and tannins, which provide antioxidant, antibacterial, anti-inflammatory, hypoglycemic, and anticancer benefits. Papaya leaf extracts have been studied for their potential in managing dengue by increasing platelet counts, improving digestion, a

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