A review of remote sensing for potato traits characterization in precision agriculture

被引:11
|
作者
Sun, Chen [1 ,2 ]
Zhou, Jing [1 ]
Ma, Yuchi [1 ]
Xu, Yijia [1 ]
Pan, Bin [3 ]
Zhang, Zhou [1 ]
机构
[1] Univ Wisconsin Madison, Biol Syst Engn, Madison, WI 53706 USA
[2] Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol, Xian, Peoples R China
[3] Nankai Univ, Sch Stat & Data Sci, Tianjin, Peoples R China
来源
基金
美国食品与农业研究所;
关键词
precision agriculture; remote sensing; satellite imagery; potato; unmanned aerial system; sensors; LEAF CHLOROPHYLL CONTENT; HIGH-RESOLUTION; WATER-STRESS; SPECTRAL REFLECTANCE; ABOVEGROUND BIOMASS; VEGETATION INDEXES; IMAGING TECHNIQUES; YIELD ESTIMATION; NEURAL-NETWORK; USE EFFICIENCY;
D O I
10.3389/fpls.2022.871859
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agriculture is being well recognized as the solution as it deals with the management of spatial and temporal variability to improve agricultural returns and reduce environmental impact. As the initial step in precision agriculture, the traditional methods of crop and field characterization require a large input in labor, time, and cost. Recent developments in remote sensing technologies have facilitated the process of monitoring crops and quantifying field variations. Successful applications have been witnessed in the area of precision potato farming. Thus, this review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization. We reviewed the commonly used imaging sensors and remote sensing platforms with the comparisons of their strengths and limitations and summarized the main applications of the remote sensing technologies in potato. As a result, this review could update potato agronomists and farmers with the latest approaches and research outcomes, as well as provide a selective list for those who have the intentions to apply remote sensing technologies to characterize potato traits for precision agriculture.
引用
收藏
页数:20
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