Mapping and monitoring of weeds using unmanned aircraft systems and remote sensing

A. Pon Arasan, S. Radhamani, S. Pazhanivelan, R. Kavitha, R. Raja and R. Kumaraperumal
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A. Pon Arasan: Centre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore, India
S. Pazhanivelan: Department of Farm Machinery and Power Engineering, Tamil Nadu Agricultural University, Coimbatore, India
R. Kavitha: ICAR - Central Institute for Cotton Research - Regional Station, Coimbatore, India
R. Raja: Department of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore, India

Plant Protection Science, 2025, vol. 61, issue 1, 44-55

Abstract: Effective weed management relies on frequent field monitoring, which is difficult to perform in vast areas. Integrating red-green-blue, thermal, hyperspectral, and multispectral sensors with unmanned aircraft systems and artificial intelligence ensures better results in managing the weed menace. Since India depends largely on agriculture, it is still a long way from implementing more advanced weed management methods. Mapping and surveillance of weeds in croplands by employing remote sensing will lead to varied herbicide application rates, thus reducing its overuse. This study reviews the practical application of remote sensing methods and unmanned aircraft systems in weed mapping

Keywords: UAS; weed mapping; artificial intelligence; remote sensing; sensors (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpps:v:61:y:2025:i:1:id:74-2024-pps

DOI: 10.17221/74/2024-PPS

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