Remote Sensing for Irrigation of Horticultural Crops
Ms. G Renugadevi M.E., S M Komathisathya
PSR Engineering College, Sivakasi
psr.edu.in
Abstract—Our project is dedicated to revolutionizing horticultural crop irrigation through the seamless integration of remote sensing technologies. By combining satellite imagery, sensor networks, and advanced data analytics, we aim to empower farmers with accurate and timely information regarding crop water requirements. This real-time insight will enable farmers to optimize their irrigation schedules, thereby maximizing water efficiency and promoting sustainable agricultural practices. Traditional irrigation methods often lead to challenges such as overwatering or under-watering, which our system addresses by providing precise data on soil moisture levels, vegetation health, and weather patterns. Through the implementation of remote sensing techniques, we seek to enhance crop productivity while conserving water resources.
In addition to addressing irrigation challenges, our project emphasizes scalability and accessibility. By leveraging remote sensing technologies, inherently scalable and adaptable, we aim to cater to the diverse needs of farmers across different geographical regions and crop types. Our user-friendly interface and intuitive design ensure that farmers of all backgrounds can easily access and interpret the information provided by our system. Furthermore, our project aims to contribute to the broader agricultural landscape by promoting sustainable practices. By equipping farmers with the tools to make informed decisions about irrigation management, we facilitate the adoption of practices that minimize environmental impact while maximizing productivity. Through collaboration with agricultural experts and stakeholders, we strive to continuously improve and refine our system to meet the evolving needs of the farming community..
Keywords— Remote sensing (RS), irrigation management (IM), satellite imagery (SI), sensor networks (SN), data analytics (DA), sustainable agriculture (SA), crop productivity (CP), water efficiency (WE), scalability (SC), accessibility (AC)
