Abstract
Today’s agriculture routinely uses sophisticated technologies such as robots, temperature and moisture sensors, aerial images, and GPS technology. These advanced devices and precision agriculture and robotic systems allow businesses to be more profitable, efficient, safe, and environment friendly. Precision agriculture uses AI technology to aid in detecting diseases in plants, pests, and poor plant nutrition in farms. The first milking robot was launched in 1995 and is now a fixture on farms everywhere. These AI powered technologies ensure crop yields despite climate changes, population growth, employment issues, and food security problems. Further AI helps prevent the use of surplus water, pesticides, and herbicides, preserve soil fertility, enable competent manpower use, and increase productivity and quality. With current employment levels, future food demand would strain the global food system, thereby lending credence to the need to make if highly efficient. This review surveys the work of numerous researchers to get a brief outline of the potentials of AI applications in agriculture and weeding systems with robots and drones. Various AI applications are discussed along with automated cropping and weeding techniques. Various methods used by AI for spraying and crop-monitoring are also discussed here.
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Sivarethinamohan, R., Yuvaraj, D., Shanmuga Priya, S., Sujatha, S. (2021). Captivating Profitable Applications of Artificial Intelligence in Agriculture Management. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_73
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DOI: https://doi.org/10.1007/978-3-030-68154-8_73
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