A Comprehensive Review of Emerging Technologies: Machine Learning and UAV in Crop Management. Issue 1 (1st August 2022)

• Record Type: Journal Article
• Authors: Yagnasree, S.; Jain, Anuj
• Is Part Of: Journal of physics. Volume 2327:Issue 1(2022)
• Publication Date: 2022-08-01
• Subjects: UAV-Low altitude remote sensing -- Precision Agriculture -- Crop and Soil health -- monitoring -- Yield prediction -- Machine learning; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2327/1/012035
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: It is a known fact that India is one among the major food producers in the world. Due to the rapid urbanization and Agrochemical interventions, plants are infected by insects, pathogens, massive infestations, which leads to the deficiency of growth nutrients and ions, thereby minimizing agricultural crop yield. These infections occur in several forms like aphids, black root rot, cankers, leaf curls, rusts, anthracnose, and blights make agriculture fail to thrive and increase the impact of crop diseases. Since plant disease prevention is a continuous process that occurs regularly, agriculturists follow several strategies to keep their crops disease-free. An efficient monitoring and supporting system for continuous and long-term plant and soil health monitoring is needed to meet the needs of growing population. In this paper, existing research works in Precision agriculture, emerging technologies – GPS, GIS, Machine learning and UAVs in analyzing crop health analysis, soil health monitoring, and crop yield prediction are reviewed.