UAV-based multispectral image analytics and machine learning for predicting crop nitrogen in rice

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Geocarto International Pub Date : 2024-07-04 DOI:10.1080/10106049.2024.2373867
Suyog Balasaheb Khose, Damodhara Rao Mailapalli
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Abstract

Assessment of crop nitrogen status is essential for efficient crop growth management. Existing nitrogen measurements are accurate but destructive, laborious, and time-consuming. Therefore, the soil...
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基于无人机的多光谱图像分析和机器学习预测水稻作物含氮量
评估作物氮素状况对高效管理作物生长至关重要。现有的氮测量方法虽然准确,但破坏性大、费时费力。因此,土壤...
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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍: Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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