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Journal articles on the topic 'Smart agriculture'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dankan Gowda, V., M. Sandeep Prabhu, M. Ramesha, Jayashree M. Kudari, and Ansuman Samal. "Smart Agriculture and Smart Farming using IoT Technology." Journal of Physics: Conference Series 2089, no. 1 (2021): 012038. http://dx.doi.org/10.1088/1742-6596/2089/1/012038.

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Abstract It has become easier to access agriculture data in recent years as a result of a decline in digital breaches between agricultural producers and IoT technologies. These future technologies can be used to boost productivity by cultivating food more sustainably while also preserving the environment, thanks to improved water use and input and treatment optimization. The Internet of Things (IoT) enables the production of agricultural process-supporting systems. Referred to as remote monitoring systems, decision support tools, automated irrigation systems, frost protection systems, and fert

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2

Beyerer, Jürgen, Georg Bretthauer, and Thomas Längle. "Smart agriculture." at - Automatisierungstechnik 69, no. 4 (2021): 275–77. http://dx.doi.org/10.1515/auto-2021-2049.

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3

Purohit, Satyam V., Vikram Bharadwaj, Renuka M, Naveen H S, and Mary Vidhya John. "Smart Agriculture." International Journal of Innovative Research in Advanced Engineering 10, no. 05 (2023): 149–56. http://dx.doi.org/10.26562/ijirae.2023.v1005.04.

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Agriculture is the primary main stay of the economy in our country. In recent years, because of uncertain trends in climate and policy making this has attributed to the price of crops becoming highly volatile. Farmers remain oblivious of these uncertainties, which attribute a degradation of the farmers’ mental and financial wellbeing. The excessive use of chemicals in the soil have caused the soil to lose its organic properties ultimately causing the soil to be exothermic in nature, hence requiring large amounts of water for maintenance of the farm land with an unhealthy quality of production

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4

Sharma, Tushar, Parthiv Patel, and Prof Kinjal Kevin Gandhi. "The Smart Agriculture System." International Journal of Research Publication and Reviews 6, no. 3 (2025): 9257–61. https://doi.org/10.55248/gengpi.6.0325.12207.

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5

鲜, 雨航. "Big Data, Smart Agriculture, Agricultural Information." Advances in Social Sciences 11, no. 08 (2022): 3121–26. http://dx.doi.org/10.12677/ass.2022.118428.

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6

Azadi, Hossein, Saghi Movahhed Moghaddam, Stefan Burkart, et al. "Rethinking resilient agriculture: From Climate-Smart Agriculture to Vulnerable-Smart Agriculture." Journal of Cleaner Production 319 (October 2021): 128602. http://dx.doi.org/10.1016/j.jclepro.2021.128602.

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7

曾曉昀. "農業強市之智慧農業地方立法 ——以廣東河源為例". 國際人文社科研究 3, № 5 (2024): 89–103. https://doi.org/10.63944/he2p9e48.

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The smart era has arrived, and agriculture serves the foundation of the national economy, with smart agriculture flourishing. In the process of building a great agricultural country, the strategies of establishing great agricultural provinces and cities have been implemented. Local legislation is gradually incorporating smart elements, including smart legislative purposes, smart rights protection, and smart behavior models. Considering the specific geographical environment, historical traditions and development models, agriculture becomes a crucial advantage for economic and social development

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8

Adamides, George. "A Review of Climate-Smart Agriculture Applications in Cyprus." Atmosphere 11, no. 9 (2020): 898. http://dx.doi.org/10.3390/atmos11090898.

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Climate-smart agriculture is an approach for developing agricultural strategies to modernize agricultural systems using digital techniques, aiming for sustainable agriculture and ensuring food security under climate change. This article provides a systematic literature review of smart agriculture technologies towards climate-smart agriculture in Cyprus, including robotics, Internet of Things, and remote sensing. The paper starts with a review of climate-smart agriculture, presenting its importance in terms of optimizing agricultural production processes in order to address the interlinked chal

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9

Otitoju, M. A., Obeten, W. O., Ojile, D. O., and Ya’u, H. "ROLE OF CLIMATE-SMART AGRICULTURE IN ENHANCING SUSTAINABLE AGRICULTURAL PRODUCTION." Nigerian Journal of Agriculture and Agricultural Technology 3, no. 2 (2023): 211–17. http://dx.doi.org/10.59331/njaat.v3i2.524.

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With the challenge of global food insecurity increasingly getting more severe, and the problem made worse by the extreme vulnerability of agriculture to climate change, climate-smart agriculture has emerged as an appropriate response aimed at minimising the harmful effect of climate change to agricultural production. This paper seeks to review the role of climate-smart agriculture in enhancing sustainable agricultural production towards attaining global food security. The paper majorly looks at the applications and benefits of climate-smart agriculture, and the constraints and limitations of c

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10

John, Lizy Kurian. "Smart Agriculture and Smart Memories." IEEE Micro 42, no. 1 (2022): 4–6. http://dx.doi.org/10.1109/mm.2021.3138625.

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11

Niu, Minghao, and Tianwei Shi. "Application and Development of Smart Agriculture based on Internet of Things." Frontiers in Computing and Intelligent Systems 3, no. 3 (2023): 55–58. http://dx.doi.org/10.54097/fcis.v3i3.8566.

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Based on the Internet of Things (IoT) technology, this paper firstly analyzes the importance and value of smart agriculture in the agricultural field, starting from the concept and background of smart agriculture. Then, its key technologies, application scenarios, advantages and challenges, and future development trends are introduced in detail respectively to elaborate the development and application of smart agriculture in various aspects. The conclusion points out that the development of smart agriculture is important for promoting rural economic development, improving the quality of agricu

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12

Singh, Gurjeet, Naresh Kalra, Neetu Yadav, Ashwani Sharma, and Manoj Saini. "SMART AGRICULTURE: A REVIEW." Siberian Journal of Life Sciences and Agriculture 14, no. 6 (2022): 423–54. http://dx.doi.org/10.12731/2658-6649-2022-14-6-423-454.

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Agriculture is regarded as one of the most crucial sectors in guaranteeing food security. However, as the world’s population grows, so do agri-food demands, necessitating a shift from traditional agricultural practices to smart agriculture practices, often known as agriculture 4.0. It is critical to recognize and handle the problems and challenges related with agriculture 4.0 in order to fully profit from its promise. As a result, the goal of this research is to contribute to the development of agriculture 4.0 by looking into the growing trends of digital technologies in the field of agricultu

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13

Wang, Ke. "Analysis of Characteristics of Cooperation Network of Smart Agriculture Technology Companies: China as an Example." Journal of Humanities and Social Sciences Studies 4, no. 4 (2022): 01–04. http://dx.doi.org/10.32996/jhsss.2022.4.4.1.

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The development of new technology and the Internet has provided opportunities for the development of smart agriculture, but at present, the development of smart agriculture is still in the primary stage and faces many urgent technical problems, so most companies enhance their technological innovation capabilities through cooperation with other companies. This paper analyzes the characteristics of cooperation networks of smart agriculture technology companies and the differences in different stages by collecting companies with which smart agriculture technology companies have cooperation relati

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14

Kim, Kyu-Ho. "Future tasks following the enactment of「Act on Promotion and Support of Smart Agriculture」." Wonkwang University Legal Research Institute 30 (December 31, 2023): 227–49. http://dx.doi.org/10.22397/bml.2023.30.227.

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The Act on Promotion and Support of Smart Agriculture, which was approved during the plenary session of the National Assembly in June 2023, is scheduled to take effect from July 2024. Comprising 6 chapters and 25 articles, this legislation addresses key aspects such as the framework for nurturing and supporting smart agriculture, the establishment of a foundation dedicated to smart agriculture, and the promotion and expansion of smart agricultural practices. Anticipated to serve as a foundational milestone, the Act is poised to facilitate diverse policy initiatives grounded in legal principles

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15

Prof, Sivaprakash, Brinit Sharon, Padmajha P, Pooja S, Stewart Prince, and Reshmika R. "Smart Agriculture with IoT." International Journal of Innovative Research in Information Security 09, no. 03 (2023): 225–28. http://dx.doi.org/10.26562/ijiris.2023.v0903.31.

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Precision farming, often known as smart agriculture, is a management strategy that makes use of IoT technologies to raise the caliber and output of agricultural goods. Agricultural productivity has been hampered by the climate, for example, creating difficulties. Soil moisture, changes, and a lack of resources. It has been researched to use wireless sensors to incorporate proper crop management and soil moisture monitoring in order to overcome these difficulties. Precision farming enables real-time data collection and analysis on elements including weather patterns, soil moisture, and crop hea

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16

Aralov, G’ayrat. "MECHANISMS FOR DETERMINING INNOVATIVE RESOURCES FOR THE FORMATION OF AN INTELLIGENT PRODUCTION SYSTEM IN AGRICULTURE." Economics and education 24, no. 2 (2023): 37–42. http://dx.doi.org/10.55439/eced/vol24_iss2/a6.

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The article analyzes the resource opportunities for the formation of an integrated system "Smart Production" based on "Smart Agriculture" in the development of agriculture. On the basis of the formation of an integrated platform "Smart Production" based on "Smart Agriculture", the possibilities of applying advanced foreign experience in the national economy were evaluated. Economic criteria for activating the management mechanism are proposed to determine the priority factors for increasing the efficiency of agricultural production entities and improving the living conditions of the population

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17

E. N., Ajie,, and Uche, C. "Climate Smart Agriculture in Food Insecurity Mitigation in Nigeria: A Conceptual Evaluation." Asian Journal of Agricultural Extension, Economics & Sociology 43, no. 1 (2025): 63–71. https://doi.org/10.9734/ajaees/2025/v43i12673.

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Climate-Smart agriculture and its impact on food security have been topical issues in policy and food security discusses by successive governments in Nigeria however, the extent of its awareness among the farmers as a food insecurity mitigation measure has not been adequately represented in contemporary local literature hence the need for this research to ascertain the extent of awareness through: an examination of literary works by scholars in the field, assessing the extent of climate-smart procedures in agriculture and suggest where possible ideas to enhance its adoption. The study therefor

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18

Adebisi Esther ENOCHOGHENE. "Climate smart agriculture in sub-Saharan Africa: Role of arbuscular mycorrhiza fungi." Global Journal of Research in Biology and Pharmacy 1, no. 1 (2024): 006–15. http://dx.doi.org/10.58175/gjrbp.2022.1.1.0025.

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Climate change affects many areas of human lives, including agriculture. Interestingly, agriculture contributes to climate change, necessitating climate smart approaches to ensure a win-win situation; wherein agricultural production is sustainable and meets current and future needs. Climate smart agriculture is a collection of agricultural practices that increase productivity, adaptation, and mitigation of climate change contribution to agriculture. While many global regions depend on agriculture directly and indirectly, the sub-Saharan Africa region is directly dependent on agriculture. Exist

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19

Raja, Abhishek, Bhawesh Srivastava, Poonam Garkal, and Dr Swapnil Tathe. "IOT Based Smart Agriculture System." International Journal of Research Publication and Reviews 4, no. 6 (2023): 433–39. http://dx.doi.org/10.55248/gengpi.4.623.45023.

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20

Bharadwaj, Arnav Jyoti, Chinmoy Thakuria, Jintu Moni Rabha, Gariyash Kumar Das, and Kaushik Das. "Smart Agriculture via Object Detection." Indian Journal Of Science And Technology 16, SP2 (2023): 1–5. http://dx.doi.org/10.17485/ijst/v16isp2.2438.

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21

Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "Climate-Smart Agriculture." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 2 (2017): 148–49. http://dx.doi.org/10.23956/ijarcsse/v7i2/01202.

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22

Rakhmatullaevna, Makhmudova Nargiza. "“smart” agriculture tools." ACADEMICIA: AN INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL 11, no. 2 (2021): 430–34. http://dx.doi.org/10.5958/2249-7137.2021.00372.4.

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23

Hmielowski, Tracy. "Climate-Smart Agriculture." CSA News 62, no. 2 (2017): 4–7. http://dx.doi.org/10.2134/csa2017.62.0201.

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24

Chen, Junjin, and Hong Zhou. "The Role of Contract Farming in Green Smart Agricultural Technology." Sustainability 15, no. 13 (2023): 10600. http://dx.doi.org/10.3390/su151310600.

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Promoting green agricultural production is becoming increasingly important in order to address resource and environmental issues and meet consumers’ demand for safe agricultural products. Green agriculture mainly refers to the adoption of green, smart agriculture technologies in agricultural production. Farmers are the main body of agricultural production, so guiding farmers to adopt green, smart agriculture technologies is of great significance for safeguarding the ecological environment. However, due to the combined influence of internal and external factors, the current level of adoption of

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25

Tang, Mengjie. "Digital Technology Empowers the High-quality Development of Agriculture: Taking Intelligent Agriculture in Dasheng Town, Yubei District, Chongqing as an Example." Journal of Big Data and Computing 1, no. 4 (2023): 20–26. http://dx.doi.org/10.62517/jbdc.202301405.

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Taking the smart agriculture in Dasheng Town, Yubei District, Chongqing as an example, this study explores the enabling role of digital technology in the high-quality development of agriculture. By reviewing existing research and combining field investigations, this paper summarizes the positive impacts of digital technology on improving agricultural production efficiency, enhancing the quality of agricultural products, and promoting agricultural sustainability, as well as the successful experience of the Dasheng Town smart agriculture project, providing experience and inspiration for other re

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Pang, Yiyuan, Francesco Marinello, Pan Tang, Hong Li, and Qi Liang. "Bibliometric Analysis of Trends in Smart Irrigation for Smart Agriculture." Sustainability 15, no. 23 (2023): 16420. http://dx.doi.org/10.3390/su152316420.

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Agriculture is considered one of the most critical sectors that play a strategic role in ensuring food security. It is directly related to human development and social stability. The agricultural sector is currently incorporating new technologies from other areas. These phenomena are smart agriculture and smart irrigation. However, a challenge to research is the integration of technologies from different knowledge fields, which has caused theoretical and practical difficulties. Thus, our purpose in this study has been to understand the core of these two themes. We extracted publications in Sco

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27

Zhang, Fan, Yu Zhang, Weidang Lu, Yuan Gao, Yi Gong, and Jiang Cao. "6G-Enabled Smart Agriculture: A Review and Prospect." Electronics 11, no. 18 (2022): 2845. http://dx.doi.org/10.3390/electronics11182845.

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As human society develops, the population is growing explosively and water and land resources are gradually being exhausted due to pollution. Smart agriculture is regarded as having an essential role in addressing the above challenges. Smart agriculture can significantly improve the agro-ecological environment and the yield and quality of agricultural products, and it can reduce the usage of pesticides and chemical fertilizers, thus alleviating the pollution of farmland and improving the sustainability of agricultural activities. The key to smart agriculture is in utilizing information and com

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28

Wentao, Xu, and Zhang Dan. "Research on the Training Path of Compound Talents Based on Smart Agriculture." Journal of Industry and Engineering Management 2, no. 3 (2024): 28–34. https://doi.org/10.62517/jiem.202403306.

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This study aims to explore the training paths for compound talents in the context of smart agriculture to meet the needs of modern agricultural development. As global agriculture progresses towards intelligent and precise methodologies, the development of smart agriculture requires professionals with multidisciplinary knowledge and skills. Training such compound talents has become a significant challenge in global agricultural education. Therefore, this research is based on the technological characteristics and industrial demands of smart agriculture, utilizing methods such as literature analy

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Belkina, S. I. "«Smart» agriculture of the Community of Latin American and Caribbean States." Latinskaia Amerika, no. 5 (December 15, 2024): 65–78. http://dx.doi.org/10.31857/s0044748x24050055.

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The article analyzes the state of smart agriculture of both the world community and the Community of Latin American and Caribbean States. Quantitative indicators characterizing the shares of leading agricultural technology innovations in the agricultural solution market are given. Quantitative data on the forecast market value of smart agriculture worldwide from 2020 to 2026 and the forecast market value of smart agriculture worldwide by application in 2020 and 2026 are also provided. The author investigates the role of agriculture in the Latin American region's economy and its contribution to

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Gosavi, Nidhi, and Deepa Chourasiya. "SMART IRRIGATION SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–9. http://dx.doi.org/10.55041/ijsrem29118.

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Water scarcity is currently one of the biggest issues facing the globe, and agriculture is an intense activity that uses a lot of water. Therefore, a system that makes prudent use of water is needed. About 70% of people in India are employed in agriculture, making it an agricultural nation. With the use of technology, it can be enhanced. An autonomous watering system can help with irrigation management. It suggests irrigating the agricultural lands automatically. At the moment, automation plays a significant role in human existence. This paper addresses and reviews intelligent irrigation ways.

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31

Murvatova, Sariyya. "SMART AGRICULTURE: THE FUTURE OF THE AGRICULTURAL SECTOR." Annali d'Italia 62 (December 24, 2024): 5–10. https://doi.org/10.5281/zenodo.14552112.

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Smart agriculture is a revolution that aims to increase productivity and sustainability in the agricultural sector by integrating information and communication technologies. This article discusses how smart agriculture is transforming the agricultural sector and the benefits offered by modern technology.Benefits of Modern Technology in Agriculture: Increased Productivity: Effective use of inputs (water, fertilizer, medicine) provides a significant increase in product yield.Cost Reduction: Reduces costs by eliminating unnecessary expenses. Sustainability: Environmentally friendly prac

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Patil, Prof P. R., Samruddhi Shelke, Prachi Phadatare, Mrunal Wabale, and Rutuja Kharche. "Smart Irrigation Technique Using IOT." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3613–16. http://dx.doi.org/10.22214/ijraset.2022.43170.

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Abstract: Agriculture plays an imperative role in the country’s development. In our country, more than 72% of people depend upon farming which is one third of the population invests in farming. Thus, the challenges and issues concerning agriculture need to be focused to hinder the country development. The only recommended solution to this issue is modernizing agriculture using smart technologies. In agriculture, irrigation is one of the processes which support crop production by supplying needed water to the soil. A Sensor-based automated irrigation system provides a promising solution to mana

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33

Agilesh R, Asrath J, Hariharasuthan N, Santhosh K, and Sathya Priyan R. "IOT BASED SMART AGRICULTURE." Journal of Manufacturing Engineering 16, no. 3 (2021): 077–81. http://dx.doi.org/10.37255/jme.v16i3pp077-081.

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Agriculture plays a vital role in the development of an agricultural country. Around 70% of people depend on farming in our country, and one-third of the nation's income comes from agriculture. Issues concerning agriculture have been continually impeding the improvement of the nation. The main answer for this issue is smart agriculture by modernizing the current customary strategies for farming. Henceforth the undertaking targets making agribusiness smart using computerization and IoT advances. The featuring highlights of this project incorporate smart GPSbased remote-controlled robots to perf

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34

Ren, Ao, and Kazeem Alasinrin Babatunde. "VISUALIZATION ANALYSIS OF CLIMATE SMART AGRICULTURE RESEARCH IN ASIA BASED ON WOS AND CITESPACE." Journal of Law and Sustainable Development 12, no. 4 (2024): e3512. http://dx.doi.org/10.55908/sdgs.v12i4.3512.

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Purpose: This study conducts a quantitative analysis of relevant research literature in the field of Climate Smart Agriculture in Asian countries and regions included in the "Web of Science Core Collection" to clarify the current development status of Climate Smart Agriculture in Asia. Methodology: Based on bibliometric methods, this article searched the relevant research 617 literature in the field of Climate Smart Agriculture in Asian countries and regions included in WoS from 2014 to 2023. Analyzed from the perspectives of annual publication volume, publishing institution, author, country,

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35

Prasad, Ch G. V. N., A. Mallareddy, M. Pounambal, and Vijayasherly Velayutham. "Edge Computing and Blockchain in Smart Agriculture Systems." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 1s (2022): 265–73. http://dx.doi.org/10.17762/ijritcc.v10i1s.5848.

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The advancement of Internet-based technologies has made huge progress toward improving the accessibility of "smart agriculture." With the advent of unmanned and automatic management, smart agriculture is now able to accomplish monitoring, supervision, and real-time picture monitoring. It is not possible to know for sure that the data in a smart agriculture system is complete and secure from intrusion. This article investigates and assesses the potential of edge computing and blockchain for use in smart agriculture. We combine the advantages of blockchain technology and the edge computing frame

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Hu, Dong, Jiayue He, and Qian Wang. "Exploration of the Safety and Threats Associated with Smart Agriculture-related Technologies." Agricultural Science 7, no. 1 (2025): p158. https://doi.org/10.30560/as.v7n1p158.

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Smart agriculture integrates cutting-edge information technologies such as big data, artificial intelligence, and blockchain, deeply integrating them into production decision-making and circulation links related to agriculture, forming a new agricultural business model and solution with significant advantages of intensification, precision, automation, and informatization. Therefore, properly handling the relationship between Agricultural Big Data technology and data security becomes particularly critical.The concept of Agricultural Big Data, comprehensively analyzing various current viewpoints

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Lee, Doyeon, and Keunhwan Kim. "National Investment Framework for Revitalizing the R&D Collaborative Ecosystem of Sustainable Smart Agriculture." Sustainability 14, no. 11 (2022): 6452. http://dx.doi.org/10.3390/su14116452.

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Demographic, economic, and environmental issues, including climate change events, aging population, growing urban-rural disparity, and the COVID-19 pandemic, contribute to vulnerabilities in agricultural production and food systems. South Korea has designated smart agriculture as a national strategic investment, expanding investment in research and development (R&D) to develop and commercialize convergence technologies, thus extending sustainable smart agriculture and strengthening global competitiveness. Hence, this study probes the status of smart agricultural R&D investment from the

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38

Indri, Dewi. "Framework Design IoT for Smart Agriculture." Jurnal Sistem Cerdas 4, no. 1 (2021): 1–8. http://dx.doi.org/10.37396/jsc.v4i1.90.

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West Bandung Regency has a very abundant potential of natural resources, one of which is in agriculture. Agriculture is the use of resources made by humans to produce food and manage their environment. One of problem is the inability of farmers to supervise and take care of crops so that an intelligent agricultural system based on IOT is required. The intelligent agricultural system aims to predict and monitor the problems faced by farmers to increase the productivity of agricultural products. In this study, it proposed a design of intelligent agricultural framework by configuring several sens

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Cheng, Sijia, Jiaxin Chen, Xiaoyu Zeng, and Lunjie Xia. "The Digital Transformation Path of Agricultural Machinery and Equipment Manufacturing Industry from the Perspective of Smart Agriculture." International Journal of Global Economics and Management 4, no. 1 (2024): 617–21. http://dx.doi.org/10.62051/ijgem.v4n1.73.

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This article explores the digital transformation path of agricultural machinery and equipment manufacturing industry from the perspective of smart agriculture, and focuses on the practical path at the enterprise level. The article analyzes the background of smart agriculture, summarizes the construction experience of smart agriculture at home and abroad, and points out the achievements and shortcomings of China's agricultural machinery and equipment manufacturing industry in digital transformation. Suggestions have been put forward to address the issues, including breakthroughs in key core tec

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40

Medhe, Rajani, and Samruddhi Sarvankar. "IoT Based Smart Farming." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 2853–59. http://dx.doi.org/10.22214/ijraset.2023.54057.

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Abstract: The revolution brought by Internet of Things (IoT) technology has affected every field of common man's life, making everything smart and intelligent. In the past, the ripeness of the soil and crop growth were determined by farmers based on their intuition and suspicions. They were unaware of factors such as humidity, water levels, and especially weather conditions, which negatively impacted farmers. The agricultural sector is being transformed by the Internet of Things (IoT), empowering farmers through a wide range of techniques. In the era of IoT, extensive research is being conduct

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Cho, Han-Jin. "A Study on Environmental Factor Recommendation Technology based on Deep Learning for Digital Agriculture." Korean Institute of Smart Media 12, no. 5 (2023): 65–72. http://dx.doi.org/10.30693/smj.2023.12.5.65.

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Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction info

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Temelkova, Miglena, and Nikola Bakalov. "A model of a cyber-physical installation for smart greenhouse agriculture." E3S Web of Conferences 404 (2023): 02004. http://dx.doi.org/10.1051/e3sconf/202340402004.

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The article reviews the main aspects, parameters and effects integrated by smart agriculture. An analysis of the main definitions of the “smart agriculture” concept is drawn, and, a cyber-physical installation for smart greenhouse agriculture is modeled on that basis. The specific benefits from the cyber-physical systems in the agricultural production process are also defined by taking into account the actual prerequisites, factors and indicators related to smart-based agriculture. The main restrictive conditions are generated, as well as the managing parameters and the criterion for optimalit

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Choi, Sung-Wook, and Yong Jae Shin. "Role of Smart Farm as a Tool for Sustainable Economic Growth of Korean Agriculture: Using Input–Output Analysis." Sustainability 15, no. 4 (2023): 3450. http://dx.doi.org/10.3390/su15043450.

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This study focused on smart farms in Korea to confirm that the fourth industrial revolution technology is a tool that can be used for sustainable economic development in agriculture. This study used the input–output table, which included the production-inducing effects of the demand inducement model, value-added inducing effects, supply shortage effects of the supply inducement model, and the interlinkage effect. These methods were used to compare the impact of smart farm machinery on agriculture and the impact of smart farms on the Korean economy compared to conventional agriculture, thereby

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Shilpi, Kulshrestha, and Lodha Lokesh. "Agricultural Advancements through IoT and Machine Learning." Agricultural Advancements through IoT and Machine Learning 8, no. 11 (2023): 6. https://doi.org/10.5281/zenodo.10142508.

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A Smart Agriculture system employs sensor technology and data analytics to enhance agricultural practices, leading to increased crop yields and reduced waste. Various sensors such as soil moisture, temperature, humidity, and light intensity detectors are utilized to monitor and analyze data for optimal crop growth and improved farming techniques including irrigation, fertilization, and pesticide management. These systems find application in diverse agricultural environments like open fields, orchards, and greenhouses,  providing valuable insights for informed decision- making. Some system

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Arun, Dangi Pooja, Joginder Singh Malik, and Neelam Kumari. "Farmers level of Awareness and Adaptation Practices about Climate Change and Climate Smart Technologies." Journal of Extension Systems 36, no. 2 (2020): 16–21. http://dx.doi.org/10.48165/jes.2020.36204.

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The impact of climate change on agriculture is varying over space and time. The consequences highly uncertain are heterogeneous in nature. Agricultural sector must focus on adopting climate smart technologies to successfully achieve food security and climate change challenges.Climate Smart Technologies in agriculture is clearly a crucial response for an effective and equitable adaptation and mitigation strategy. To shift the focus towards climate smart agricultural technologies in India, innovation will be the key. The present study focused on level of awareness and adaptation strategies of fa

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Wang, Zhaoyang, and Shengxue Zhao. "Research on the Development Path of Digital Enabled Smart Agriculture in Heilongjiang Province." Industry Science and Engineering 1, no. 1 (2024): 69–74. http://dx.doi.org/10.62381/i245109.

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The development of smart agriculture requires the support of digital technology, digital talents, and digital capabilities. Currently, digitalization is developing rapidly in all occupations, and digital technology is rapidly spreading in rural areas of China. As a branch of the digital economy, digital agriculture has promoted the increase of farmers' production and income, as well as the transformation of lifestyle and life philosophy. In terms of developing smart agriculture, Heilongjiang Province has unique natural advantages and agricultural foundation advantages, and will face greater op

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Raju, K., Jaferin M. Hakeema, and N. Navashri. "Smart Groundnut Farming using IoT." Advancement of Computer Technology and its Applications 3, no. 3 (2020): 1–6. https://doi.org/10.5281/zenodo.4256374.

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<em>Our country major income from agriculture due to availability of cultivation land and delta’s. Our country is top most food producer in the world. Life of everyone is based on the agricultural .Due to various reason farmers and agricultural is always towards downward. The main barriers are sudden rain, water scarcity, crops attacked by animals and insects, lack of fertilizers etc. To overcome all the problems is initiation of modern technologies with traditional method especially in cultivation land. Automation based agriculture help to solve the problems.IOT technology which helps t

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Vijayan, V. Balaji, Abdul Haleem, Abdullah Irbaz, Ali Abdul Rehman, and Farhan Pasha. "Wireless Networking: Smart Agriculture." Journal of Cyber Security, Privacy Issues and Challenges 3, no. 1 (2024): 32–37. http://dx.doi.org/10.46610/jcspic.2024.v03i01.005.

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Modern agriculture has found Wireless Sensor Networks (WSNs) to be a crucial technology, providing real time monitoring and control capabilities to maximize crop productivity and resource utilization. In smart agriculture, wireless sensor networks (WSNs) have become a game changer because they make it possible to monitor and manage environmental elements in real time that are crucial for crop development and output. Wireless Sensor Networks (WSNs) have emerged as a transformative technology in smart agriculture, facilitating real time monitoring and control of environmental parameters critical

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Adesipo, Adegbite, Oluwaseun Fadeyi, Kamil Kuca, et al. "Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions." Sensors 20, no. 21 (2020): 5977. http://dx.doi.org/10.3390/s20215977.

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Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural–urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by

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Akamani, Kofi. "An Ecosystem-Based Approach to Climate-Smart Agriculture with Some Considerations for Social Equity." Agronomy 11, no. 8 (2021): 1564. http://dx.doi.org/10.3390/agronomy11081564.

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Although the transition to industrial agriculture in the 20th century resulted in increased agricultural productivity and efficiency, the attainment of global food security continues to be elusive. Current and anticipated impacts of climate change on the agricultural sector are likely to exacerbate the incidence of food insecurity. In recent years, climate-smart agriculture has gained recognition as a mechanism that has the potential to contribute to the attainment of food security and also enhance climate change mitigation and adaptation. However, several conceptual and implementation shortfa

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