International Journal of Agrochemistry
Farm Management for Sustainable AI and IOT Based Agriculture
1Department of CSE, Sai Vidya Institute of Technology Bengaluru, India
2Department of CSE, Sai Vidya Institute of Technology Bengaluru, India
3-6Department of CSE, Sai Vidya Institute of Technology, Bengaluru, India
Abstract
The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI approaches that are being used to optimise crop management, resource utilisation, pest control, and environmental condition monitoring. These approaches include machine learning, deep learning, and data analytics, in addition to IoT devices and sensors. We also go over how AI and IoT are helping to make precision agriculture, yield optimization through predictive analytics, and farmer decision support systems possible. We also explore the socio-economic and environmental implications of these technologies, emphasising How they could enhance the quality of meals security, lessen the consequences of climate change, and encourage sustainable farming methods. We also discuss the issues that prevent the mainstream application of AI and IoT technologies in agriculture, such as adoption obstacles, interoperability, scalability, and data privacy concerns. Lastly, we list the future directions for research and the technological developments that is going to be required to fully utilise AI and IoT for smart agriculture and sustainable farming, opening the door to a more resilient and fruitful agricultural ecosystem.
Keywords
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