Research Trends in Artificial Intelligence: Internet of Things

IoT and AI-based Smart Farm: Optimizing Crop Yield and Sustainability

Author(s): Namrata Nishant Wasatkar*, Pranali Gajanan Chavhan and Vikas Kanifnath Kolekar

Pp: 1-17 (17)

DOI: 10.2174/9789815136449123010004

* (Excluding Mailing and Handling)


The “Smart Farm” project is an IoT-based agriculture project aimed at optimizing crop yield and promoting sustainability in farming practices. By integrating various IoT devices and sensors, the project aims to improve the efficiency of farming operations, reduce waste, and enhance the quality and quantity of crop yields. The project focuses on using IoT technology to monitor and control various aspects of farming, including soil moisture, temperature, humidity, crop health, and livestock behaviour. By leveraging data from these sensors and devices, farmers can make more informed decisions about irrigation, pest control, and crop management, leading to increased productivity and sustainability. Overall, the Smart Farm project seeks to transform traditional farming practices into a more efficient, data-driven, and sustainable model that benefits both farmers and the environment.

Keywords: Agricultural robotics, Agricultural applications, Computer vision, Crop and soil management, Machine intelligence, Satellite drone.

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