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Publication: IIP Proceedings Year: 2022, Month: Page No: 311-317, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20233A5EBD9E1100B23.pdf
REMOTE SENSING FOR CROP AREA ESTIMATION
Area/Stream: Artificial Intelligence, Authors: Sabthapathy. M, Janarth .S, Tamilmounika .R, Pandiyakumar .D, Sugavaneshwaran .K Keywords: Crop area estimation, Classification methods, Accuracy and validation Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 31Publication: IIP Proceedings Year: 2022, Month: Page No: 311-317, ISSN/ISBN: 978-93-95632-70-6, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20233A5EBD9E1100B23.pdf
Abstract:
Remote sensing satellites aid in area estimation of agricultural and horticultural crops through various classification methods with the help of ground observed data. The estimated area can be verified with ground observations collected earlier.
Cite this: Sabthapathy. M, Janarth .S, Tamilmounika .R, Pandiyakumar .D, Sugavaneshwaran .K,"REMOTE SENSING FOR CROP AREA ESTIMATION", Futuristic Trends in Artificial Intelligence, Volume 2, Book 16, Chapter 31, , 2022, 311-317, 978-93-95632-70-6, https://www.rsquarel.org/assets/docupload/rsl20233A5EBD9E1100B23.pdf
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