Paper Title :Precision Farming Methods Using Machine Learning

Author :Milana Malvadkar, Amey Bable, Shreyanshu Kodilkar, Surabhi Annigeri, Tanaya Pawar

Article Citation :Milana Malvadkar ,Amey Bable ,Shreyanshu Kodilkar ,Surabhi Annigeri ,Tanaya Pawar , (2024 ) " Precision Farming Methods Using Machine Learning " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 67-72, Volume-12,Issue-3

Abstract : Crop and fertilizer recommendation systems are essential tools for precision agriculture, enabling farmers to optimize their crop production while minimizing environmen- tal impact. However, existing systems face several challenges, including limited data, fixed recommendations, and a lack of integration with new technologies. This literature survey explores the state-of-the-art in crop and fertilizer recommendation sys- tems, highlighting their strengths and weaknesses. It identifies the key challenges facing existing systems and proposes potential solutions. The survey also discusses the emerging trends in crop and fertilizer recommendation, namely the use of artificial intelligence and machine learning. Keywords - Machine Learning, Crop Recommendation, Ridge Classifier, Support Vector Machine, Neural Networks

Type : Research paper

Published : Volume-12,Issue-3

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