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Applications of Artificial Intelligence in Agriculture

G. Ramachandran, T. Sheela, S. Kannan, A. Malarvizhi, G. Sureshkumar, Prasanth Murali, G. Murali

Year
2020
Citations
4

Abstract

Every day, farms produce thousands of information points on temperature, soil, usage of water, atmospheric phenomenon, etc. With the assistance of computer science and machine learning models, this data is leveraged in real-time for obtaining useful insights like choosing the correct time to plant seeds, determining the crop choices, hybrid seed choices etc. Keywords: Artificial intelligence, agriculture robots, agriculture, intelligent spraying, temperature, soil, water, machine learning Cite this Article G. Ramachandran, T. Sheela, S. Kannan, A. Malarvizhi, G. Sureshkumar, P.M. Murali, G. Murali. Applications of Artificial Intelligence in Agriculture. Journal of Computer Technology & Applications. 2020; 11(1): 1–3p.

Keywords

AgricultureComputer scienceArtificial intelligenceAgricultural engineeringEngineeringEcologyBiology

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