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<p style="text-align:justify"><span style="font-size:16px">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.</span></p>
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<p style="text-align:justify"><span style="font-size:16px"><strong>Pramod A. Pimpale</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Swapna Alex<sup>*</sup></strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Soni K.B.</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Sindura K.P. </strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India</em></span></p> <p style="text-align:justify"><span style="font-size:16px"><strong>Smitha Bhasi</strong></span></p> <p style="text-align:justify"><span style="font-size:16px"><em>Dept. of Molecular Biology and Biotechnology, College of Agriculture, Vellayani, Thiruvananthapuram, Kerala Agricultural University, Kerala (695 522), India</em></span></p>
How to cite
<p style="text-align:justify"><span style="font-size:14px">Pimpale, P.A., Alex, S., Soni, K.B., Sindura, K.P., Bhasi, S., 2023. Artificial Intelligence in Agriculture. <em>Biotica Research Today</em> 5(3), 255-257.</span></p>
Reference
<p style="margin-left:4px; text-align:justify"><span style="font-size:16px">Linaza, M.T., Posada, J., Bund, J., Eisert, P., Quartulli, M., Döllner, J., Pagani, A., Olaizola, I., Barriguinha, A., Moysiadis, T., 2021. Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture. <em>Agronomy</em> 11, 1227.</span></p> <p style="margin-left:4px; text-align:justify"><span style="font-size:16px">Onishi, Y., Yoshida, T., Kurita, H., Takanori, F., Arihara, H., Iwai, A., 2019. An automated fruit harvesting robot by using deep learning. <em>Robomech J.</em> 6, 13.</span></p> <p style="text-align:justify"><span style="font-size:16px">Sankey, J.B., Sankey, T.T., Li, J., Ravi, S., Wang, G., Caster, J., Kasprak, A., 2021. Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland. <em>Remote Sens. Environ.</em> 253, 112223.</span></p>
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