Papers
1
Total Citations
7
H-Index
1
About
A. Mani is a researcher at the forefront of applying artificial intelligence to agricultural sustainability, with a primary focus on crop yield prediction and climate-resilient farming. Their most-cited work, "Comparative Evaluation of Neural Networks in Crop Yield Prediction of Paddy and Sugarcane Crop" (2022, 7 citations), demonstrates a pivotal contribution to precision agriculture by systematically comparing neural network architectures to forecast yields under increasingly erratic climatic conditions. This research addresses the critical challenge of extreme temperature events, irregular rainfall, droughts, and floods—threats that undermine global food security. By enabling more accurate resource management and crop monitoring, Mani’s work directly supports the transformation of food supply chains through technological innovation. Their findings offer practical tools for farmers and policymakers to optimize yields amid climate volatility. With a growing citation footprint, A. Mani is establishing themselves as a key voice in the intersection of machine learning and sustainable agriculture, producing actionable insights that bridge computational modeling with real-world agricultural resilience.
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Top Papers
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