Relevant bibliographies by topics / Smart Farming System

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Smart Farming System'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Smart Farming System"

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Tamgave, Prof P. A. "Smart Farming System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2509–14. http://dx.doi.org/10.22214/ijraset.2024.60464.

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Abstract: The purpose of Farming management system is to automate the existing farming system by advanced features such as whether detection, temperature detection, prediction of whether, suggestion of crop as per given whether, count intensity of light and measure PH value of soil. The Farming Management System is a comprehensive digital solution designed to streamline and optimize agricultural operations for modern farmers. This innovative software application leverages cutting edge technology to enhance the efficiency, productivity, and sustainability of farming practices. The required soft
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Pang, Hui, Zheng Zheng, Tongmiao Zhen, and Ashutosh Sharma. "Smart Farming." International Journal of Agricultural and Environmental Information Systems 12, no. 1 (2021): 55–67. http://dx.doi.org/10.4018/ijaeis.20210101.oa4.

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With the increasing demand on smart agriculture, the effective growth of a plant and increase its productivity are essential. To increase the yield and productivity, monitoring of a plant during its growth till its harvesting is a foremost requirement. In this article, an image processing-based algorithm is developed for the detection and monitoring of diseases in fruits from plantation to harvesting. The concept of artificial neural network is employed to achieve this task. Four diseases of tomato crop have been selected for the study. The proposed system uses two image databases. The first d
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Badgujar, Priyadarshini. "Smart Farming." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42915.

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Agriculture continues to be a vital pillar of India's economy, providing livelihoods to millions. However, farmers frequently face financial challenges due to their dependence on intermediaries within the supply chain, which often leads to inequitable profit distribution. To address this issue, this paper introduces a Smart Farming platform that establishes a direct connection between farmers and consumers, ensuring fair pricing and enhanced accessibility to agricultural products. The platform is developed using the MERN stack, which comprises MongoDB, Express.js, React.js, and Node.js, and in
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Kashyap, Ruchi, Divyansh Singh Mohammad Afeef, Nitin Bhadoriya, and Neha Taori. "AgroMind: IoT & AI Based Smart Farming System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 16201–6. https://doi.org/10.55248/gengpi.6.0425.16113.

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Manoj, Tejomurthula, K. Manjunath Reddy, and M. Sujatha. "Smart Farming System Using SMS." Indian Journal of Public Health Research & Development 8, no. 4 (2017): 1284. http://dx.doi.org/10.5958/0976-5506.2017.00512.5.

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Rathnamala, S., C. Parameswari, Sobana R.S, and Veera Lakshmi .M. "IoT based Smart Farming System." Journal of ISMAC 5, no. 2 (2023): 119–27. http://dx.doi.org/10.36548/jismac.2023.2.004.

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The foundation of the economy and the most fundamental source of occupations is agriculture. Most people in the world depend on agriculture to sustain their daily existence. In India, crop production supports over 80% of the population. The majority of crop production needs to be handled by modern technologies because it can't be productive just through real-life activities. The initial approach is leveraging an novel water supply system with an innovative concept. This system is an expansion of the prior strategy that it highlights the characteristics that give a crop control over soil moistu
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S. Suganth and Dr. K. Santhi. "Smart Farming Equipment Rental System." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1170–77. https://doi.org/10.32628/cseit25112457.

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Agriculture is a labour-intensive sector, requiring a lot of machinery for agriculture. These machines are able to finish tasks in agriculture considerably quicker. The various types of machinery used in agriculture include tractors, harvesting tools, tillage tools and other farming equipment. However, these machineries and tools are priced very expensive and are not affordable by all farmers. The high purchase and maintenance cost leads to high demand for renting these machineries. The Smart Farm Equipment Rental Platform is an innovative approach to address the challenges faced by small and
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Shine.H, Logeswari.J, Divyalakshmi.A, and Asha.E. "Economical Smart Farming." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1027–30. https://doi.org/10.35940/ijeat.D7788.049420.

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Cultivating and agribusiness is the premise of human life which gives nourishment, beats, and other crude materials. The significant consideration in horticulture is soil the board for upgrading crop efficiency is on the upkeep and improvement of dynamic soil parameters. The earthbound confinements, populace stresses and the decrease of customary soil the executives strategies have coordinated to disintegration in the richness of the dirt in creating nations like India. The soundness of yield is a significant component in the profoundly beneficial arrangement of present day agribusiness. The W
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Hermala, Irvan, Agus Ismail, Nur Hendrasto, Azqia Maulida Darda, and Syukur Daulay. "The application of IoT-based hydroponic system and solar power to increase agricultural production and horticultural crop productivity." International Journal of Engineering & Technology 11, no. 1 (2022): 20–26. http://dx.doi.org/10.14419/ijet.v11i1.31943.

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Agriculture is important sector to fill the basic need of human: food. It will increase as the increasing of population. In this researh, IoT that was powered by solar power was successfully implemented to hydroponic system. The IoT controlled the parameter and solar panel power in the hydroponic system effectively where the solar panel generated power up to 2.5 kW during the day and it was used for powering greenhouse that need about 477 W power. Research was conducted by comparing productivity of conventional farming to hydroponic smart farming. The physical properties of plants from species
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Orakwue, Stella Ifeoma, Hamza Mohammed Ridha Al-Khafaji, and Mays Zahid Chabuk. "IoT Based Smart Monitoring System for Efficient Poultry Farming." Webology 19, no. 1 (2022): 4105–12. http://dx.doi.org/10.14704/web/v19i1/web19270.

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This paper presents a smart system using Internet of things (IoT) for monitoring and controlling environmental conditions of poultry farming. Environmental parameters such as temperature, humidity, and air quality in a poultry house which are vital for the survival of poultry birds were monitored in order to adequately nurture poultry birds, reduce mortality rate and improve production. The system utilizes ESP32 microcontroller which has embedded Wi-Fi function, DHT11 temperature and humidity sensor, the PIR motion detector sensor, and MQ135 gas detector sensor. In addition, a buzzer was added
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Dissertations / Theses on the topic "Smart Farming System"

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ARDENTI, FEDERICO. "CONTRIBUTION OF AGROECOLOGICAL MEASURES TOWARDS CLIMATE-SMART AND MULTIFUNCTIONAL FARMING SYSTEMS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2023. http://hdl.handle.net/10280/135602.

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La continua crescita della popolazione mondiale, il progressivo degradamento dei suoli e il cambiamento climatico globale sono tra le più grandi sfide per l’umanità nel prossimo futuro. Pratiche non sostenibili di gestione del suolo e delle colture in agricoltura convenzionale hanno danneggiato lo stato di salute dell’agro-ecosistema e favorito il cambiamento climatico, attraverso la mineralizzazione della sostanza organica e il rilascio di forme reattive dell’azoto nelle acque e in atmosfera. L’adozione di nuove pratiche agricole sostenibili è stata indicata come una delle strade percorribili
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Johansson, Nicklas. "Effekter av kameraövervakning av boskap hos sex lantbrukare i Sverige." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-70935.

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Bakgrund: Lantbruket står inför stora framtida utmaningar som t.ex. stora befolkningsökningar och minskade jordbruksarealer. Ett förslag för att lösa en del av problemet och öka effektiviteten inom lantbruket är att implementera och använda olika digitala tjänster och produkter. Ett av koncepten för den digitala tekniken som har lyfts fram av bland annat EU är Smart farming. Konceptet är brett och innefattar många olika tekniska lösningar, varav en av dessa är kameraövervakning av boskapsdjur. Frågeställning: Har de lantbrukare som använder kameraövervakning av boskapsdjur upplevt en förändrin
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Wahl, Jacob D. "Development and Characterization of an IoT Network for Agricultural Imaging Applications." DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2131.

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Smart agriculture is an increasingly popular field in which the technology of wireless sensor networks (WSN) has played a large role. Significant research has been done at Cal Poly and elsewhere to develop a computer vision (CV) and machine learning (ML) pipeline to monitor crops and accurately predict crop yield numbers. By autonomously providing farmers with this data, both time and money are saved. During the past development of a prediction pipeline, the primary focuses were CV and ML processing while a lack of attention was given to the collection of quality image data. This lack of focus
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Wu, Po-Zone, and 吳泊蓉. "Design and Implementation of Smart Farming System by Internet of Things Technology Orientation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/37614243633407637347.

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碩士<br>國立宜蘭大學<br>多媒體網路通訊數位學習碩士在職專班<br>102<br>Abstract There are too many techniques and difficulties to learn for the beginners in the field of agriculture or for the consumers who are aware of the finished products and intend to plan themselves. As to most advanced learners, the t echniques relative to planting, cropping, and the cultivation process and the corresponding measures to natural disasters are resulted from own experiences and trading which generally lacks for test and verifying. In addition to the hustle and bustle of city life, urban development is one of the causes that the infie
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(11211111), Madhu Lekha Guntaka. "IOT BASED LOW-COST PRECISION INDOOR FARMING." Thesis, 2021.

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<p>There is a growing demand for indoor farm management systems that can track plant growth, allow automatic control and aid in real-time decision making. Internet of Thing (IoT)-based solutions are being applied to meet these needs and numerous researchers have created prototypes for meeting specific needs using sensors, algorithms, and automations. However, limited studies are available that report on comprehensive large-scale experiments to test various aspects related to availability, scalability and reliability of sensors and actuators used in low-cost indoor farms. The purpose of this st
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Lekalakala, Ratunku Gabriel. "Options for Managing Climate Risk and Climate Change Adaptation in Smallholder Farming Systems of the Limpopo Province, South Africa." Doctoral thesis, 2017. http://hdl.handle.net/11858/00-1735-0000-0023-3E63-2.

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Books on the topic "Smart Farming System"

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Mkomwa, Saidi, and Amir Kassam, eds. Conservation agriculture in Africa: climate smart agricultural development. CABI, 2022. http://dx.doi.org/10.1079/9781789245745.0000.

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Abstract This book is about Conservation Agriculture (the use of no tillage systems) to preserve soil structure and integrity. It has become an increasingly important step towards sustainable farming. This publication brings together conservation agriculture and climate smart decision making processes for the first time, focusing on Africa. This book brings to the fore scientific and empirical evidence about Conservation Agriculture in Africa, articulated by the Second Africa Congress on Conservation Agriculture (2ACCA) held in Johannesburg in 2018. It describes how farmers in Africa are succe
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Cowhey, Peter F., and Jonathan D. Aronson. Information and Production Disruptions. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190657932.003.0002.

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Digital technology (digital DNA) has catalyzed information and production disruptions—ranging from cloud computing and machine learning to 3D printers—that are sweeping across firms and markets. Special attention is paid to competition dynamics in digital markets and the creation of a trusted digital environment for digital privacy and cybersecurity. A new system of innovation, digital platform clusters, is emerging that will change both global industrial and regional growth patterns, even in traditional industries like farming. Discussions of the automotive and electric grid industries illust
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LAND.TECHNIK 2020. VDI Verlag, 2020. http://dx.doi.org/10.51202/9783181023747.

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Electrical Systems Sustainable Agriculture in an Electrifed World – Cradle-to-Grave evaluation of different propulsion systems 1 Understanding the opportunities and challenges of self-driving, electric feld tractors using dynamic discrete-event simulation 9 Design and analysis of a magnetic-electrical power split gearbox for application in an agricultural vehicle 17 Development of a 3-speed gearbox in electric powertrain – Ground drive transmission for a commercial vehicle 23 Data Management Farmers’ expectations in Precision Farming Technologies – Transfarm 40 online survey 2019 31 Cyber Threa
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Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart sol
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LAND.TECHNIK 2016. VDI Verlag, 2016. http://dx.doi.org/10.51202/9783181022733.

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Smart Farming Egal ob Parkassistent oder intelligente Küchenmaschine – in unserem Alltag sind die smarten Assistenzsysteme längst angekommen. Vor allem im Zuge von Industrie 4.0 gewinnen sie auch in der Agrarwirtschaft immer mehr an Bedeutung. Sie übernehmen unangenehme und beschwerliche Aufgaben und erleichtern so das Arbeiten in der Landwirtschaft. Für die Gestalter von User Interfaces ergeben sich dadurch neue Herausforderungen: Wie kann man diese Systeme automatisieren und dem Nutzer gleichzeitig das Gefühl geben, dass er Herr über das Produkt ist? Sind vollautomatisierte Systeme wirklich
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Halo, Marko, and Lenka Polyaková, eds. Sustainable smart farming systems taking into account the challenges of the future. Proceedings of scientific papers. Slovenská poľnohospodárska univerzita v Nitre, 2023. http://dx.doi.org/10.15414/2023.9788055226125.

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Philpott, Tom. Perilous Bounty. Bloomsbury Publishing Inc., 2020. http://dx.doi.org/10.5040/9781635572865.

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New York Times Book Review Editors' Choice An unsettling journey into the disaster-bound American food system, and an exploration of possible solutions, from leading food politics commentator and former farmer Tom Philpott. More than a decade after Michael Pollan's game-changing The Omnivore's Dilemma transformed the conversation about what we eat, a combination of global diet trends and corporate interests have put American agriculture into a state of "quiet emergency," from dangerous drought in California--which grows more than 50 percent of the fruits and vegetables we eat--to catastrophic
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Book chapters on the topic "Smart Farming System"

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Tharmaseelan, Janani, S. V. Aaran, D. Ravipprasath, and P. Jayapragash. "Security Smart Farming System – AgriPro." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72654-6_6.

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Gemtou, Marilena, Blanca Casares Guillén, and Evangelos Anastasiou. "Smart Farming Technologies and Sustainability." In Palgrave Studies in Digital Business & Enabling Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61749-2_6.

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AbstractThis chapter discusses how smart farming technologies are being used to optimise and transform agricultural practices and food systems to make them more sustainable and resilient to the climate change and food security crises. These include precision farming, water-smart, weather-smart, carbon, and energy-smart, as well as knowledge-smart agricultural practices. Adoption of these technologies comes with various barriers and drivers which hinder or aid farmers in their transition to digital agriculture. These are categorised into socio-demographic, psychological, farm characteristics, t
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Kumar, Kandula Hemanth, Ball Mukund Mani Tripathi, Krishna Chaitanya Bodepudi, Sri Vidya Punnamaraju, and Nedunuri Sai Vijaya Ramya. "Smart Farming with Fire Security System." In Advances in Computational Intelligence and Its Applications. CRC Press, 2024. http://dx.doi.org/10.1201/9781003488682-27.

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Sumathi, K., Kundhavai Santharam, and K. Selvarani. "Smart Analytics System for Digital Farming." In Data Intelligence and Cognitive Informatics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7962-2_14.

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Bhattacharya, Sovan, Dola Sinha, Animikh Ghosh, Sukrit Basak, Md Sehran Talib, and Chandan Bandyopadhyay. "Harvesting the future: smart farming system." In Integrated Technologies in Electrical, Electronics and Biotechnology Engineering. CRC Press, 2025. https://doi.org/10.1201/9781003606208-12.

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Stella, K., Kumar S. Ranjith, Kumar M. Sathish, and Kumar M. Rajesh. "IOT Based Smart Sprinkling System in Farming." In Recent Trends in Computational Intelligence and Its Application. CRC Press, 2023. http://dx.doi.org/10.1201/9781003388913-13.

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Patil, Neha, and Vaishali D. Khairnar. "Smart Farming System Using IoT and Cloud." In Computer Networks and Inventive Communication Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_16.

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Skobelev, Petr, Vladimir Larukchin, Igor Mayorov, Elena Simonova, and Olga Yalovenko. "Smart Farming – Open Multi-agent Platform and Eco-System of Smart Services for Precision Farming." In Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24209-1_18.

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Gautam, Kamlesh, Arpit Kumar Sharma, Amita Nandal, Arvind Dhaka, Gautam Seervi, and Shivendra Singh. "Internet of Things (IoT)-based smart farming system." In Internet of Things and Fog Computing-Enabled Solutions for Real-Life Challenges. CRC Press, 2022. http://dx.doi.org/10.1201/9781003230236-3.

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Sahu, Amaresh, Biswaranjan Acharya, and Partha Sarathi Sahoo. "Agricultural farming decision support system using artificial intelligence." In Optimizing Smart and Sustainable Agriculture for Sustainability. CRC Press, 2025. https://doi.org/10.1201/9781003628392-12.

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Conference papers on the topic "Smart Farming System"

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Sarala, Lokireddy, Chinnapothula Swapna, Surapaka Alekhya, and Shaik Nausheen. "Smart Farming Farmguard: Crop Protection System." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716995.

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Vijayasekaran, G., Neha Jadhav, G. V. Sai Shyam Kumar, Durugadda Datta Kaleswar, S. Arshit Nandan, and S. Tharun Kumar Raju. "Smart Farming-A Crop Recommendation System." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810914.

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Hiray, Srushti Kishor, Saiprasad Bharat More, Shantanu Gorakhanath Dhokale, Om Rushikesh Siddha, and Nitin L. Shelake. "Smart Irrigation System for Precision Farming." In 2025 7th International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2025. https://doi.org/10.1109/iciss63372.2025.11076297.

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B, Parameswaran, Jaibhavani K S, Abiramana V. S, Elakkiya M, Yuvasree N, and Tariq A. "Sustainable Smart System for Hydroponics Farming." In 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2025. https://doi.org/10.1109/icirca65293.2025.11089739.

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Wang, Huijing, and Yimei Xu. "Deep Learning-Based Smart Cattle Farming System." In 2025 5th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2025. https://doi.org/10.1109/isctis65944.2025.11065118.

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Shinde, Suyash Satish, Ganesh M. Kale, S. L. Nalbalwar, and S. B. Deosarkar. "AI for Sustainable Agriculture: Smart Farming Solutions." In 2024 Third International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS). IEEE, 2024. https://doi.org/10.1109/aicecs63354.2024.10957312.

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S, Russia, Mohanapriya B, Gowrishankar V, Parimala Devi M, Pradeep K K, and Brindha P. "A Smart Irrigation System for Coconut Farming using IoT." In 2025 International Conference on Electronics and Renewable Systems (ICEARS). IEEE, 2025. https://doi.org/10.1109/icears64219.2025.10941202.

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Ganesh, Jetti Venkata, Saksham Bisht, Shashidhar Reddy, and A. Mohan Babu. "Smart Farming System Using IoT for Efficient Crop Growth." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774738.

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Rawat, Pradeep Singh, Prateek Kumar Soni, Ritwik Purwar, Rishabh Dwivedi, and Dipesh Chaudhary. "RSF: Smart Farming Using Machine Learning-Based Recommendation System." In 2024 7th International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2024. https://doi.org/10.1109/ic3i61595.2024.10829261.

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Vinay, Beemala, P. V. V. Nikhilesh, Vishal Satpute, Parul Sahare, Cheggoju Naveen, and Vipin Kamble. "IoT Based Irrigation Management System For Smart Farming Applications." In 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP). IEEE, 2024. https://doi.org/10.1109/ihcsp63227.2024.10960076.

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Reports on the topic "Smart Farming System"

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Obregon, Jean-Francois, Sergio Lazzarini, Diane-Laure Arjalies, et al. Towards a Climate-Smart Food System: A Theory of Change and Impact Metrics to Trigger Farming and Societal Change. Richard Ivey School of Business., 2023. http://dx.doi.org/10.5206/iveypub.78.2023.

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There is significant interest in sustainable food production practices in Canada and worldwide due to the challenges caused by the Russia-Ukraine war, land degradation, and climate change. Sustainable food production is a food system that provides affordable, nutritious food while preserving and restoring natural resources and generating robust ecosystem services such as carbon sequestration, water filtration, and retention. This report explores multiple routes to foster improved social, ecological, and economic impacts associated with alternative practices promoting sustainable food productio
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Short, Samuel, Bernhard Strauss, and Pantea Lotfian. Emerging technologies that will impact on the UK Food System. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.srf852.

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Rapid technological innovation is reshaping the UK food system in many ways. FSA needs to stay abreast of these changes and develop regulatory responses to ensure novel technologies do not compromise food safety and public health. This report presents a rapid evidence assessment of the emerging technologies considered most likely to have a material impact on the UK food system and food safety over the coming decade. Six technology fields were identified and their implications for industry, consumers, food safety and the regulatory framework explored. These fields are: Food Production and Proce
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Langendahl, Per-Anders, Maria Tunberg, and Suvi Kokko. Smart Urban Agriculture : exploring its development in Sweden. SLU Future food, Swedish University of Agricultural Sciences, 2022. http://dx.doi.org/10.54612/a.7hllg1t7av.

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Smart urban agriculture initiatives where food is produced in closed, controlled and digitally augmented environments, such as vertical farms, plant factories and aquaponics systems can be found in cities across the globe. Such initiatives produce fresh food all year around using less chemicals and require fewer food miles. However, critiques of smart urban agriculture suggest it is a marginal activity that often produces food with low nutritional value and requires energy intensive artificial lighting. Technological advances in digitalisation and food production as well as social and economic
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Latorre, Lucía, Valentín Muro, Leticia Riquelme, César Bustamante, and Gloria Lugo. Report on Low-Risk Technological Solutions in Emerging Technologies in Agriculture. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013488.

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It provides a comprehensive overview of how these innovations are being employed to enhance efficiency and sustainability in agricultural practices, covering topics such as regenerative agriculture, precision agriculture, and agricultural technologies (AgTech). The report concludes with an analysis of the challenges and opportunities faced by farmers during the process of technology adoption. The document is structured around the different stages of the agricultural cycle: soil preparation, sowing operations, crop protection and management, smart harvesting, and digital harvest management. For
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You might also be interested in the extended bibliographies on the topic 'Smart Farming System' for particular source types:
Journal articles
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