Artificial Intelligence in Agriculture
Pramod A. Pimpale
Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India
Swapna Alex*
Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India
Soni K.B.
Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India
Sindura K.P.
Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India
Smitha Bhasi
Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India
DOI: NIL
Keywords: Artificial Intelligence, Crop management, Machine learning, Sensors
Abstract
Artificial intelligence (AI) involves the construction of intelligent machines that can perform tasks that traditionally require human intelligence. To feed the rising world population, food production needs to increase. Data intensive methods in artificial intelligence can be used to increase agricultural productivity. AI could transform agricultural techniques such as soil management, water requirement analysis, precise modelling of fertiliser, pesticide, insecticide, and herbicide requirement, yield projection, and overall crop management for increasing the global agricultural productivity.
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