Crop Detection
Crop Detection is a computational method that identifies and localizes cultivated plants within agricultural environments by distinguishing them from non-crop elements in sensor-derived imagery or spatial data.
676
Publications
34.9K
Citations
2.6K
Authors
770
Institutions
Publications per year
2017–2026
493
676
Deep learning based multi-temporal crop classification
Liheng Zhong, Lina Hu, Hang Zhou · Remote Sensing of Environment · 2018 · 993 citations
Agriculture, Agronomy, Crop Sciences +11
A crop phenology detection method using time-series MODIS data
Toshihiro Sakamoto, Masayuki Yokozawa, Hitoshi Toritani et al. · Remote Sensing of Environment · 2005 · 928 citations
Agriculture, Agronomy, Crop Sciences +14
1–5 of 676
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770
China Agricultural University
Beijing, China
21 h-index
119 publications
5.5K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
20 h-index
82 publications
3.3K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
64 publications
3.1K citations
Nanjing Agricultural University
Nanjing, China
14 h-index
69 publications
3.2K citations

Anhui University
Hefei, China
13 h-index
33 publications
1.4K citations
Jiangsu University
Zhenjiang, China
12 h-index
32 publications
2.1K citations

Zhejiang University
Hangzhou, China
11 h-index
50 publications
2K citations

South China Agricultural University
Guangzhou, China
10 h-index
49 publications
2.4K citations
1–8 of 770
99 publications · 7.2K citations
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43 publications · 2.4K citations
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18 publications · 1.3K citations
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16 publications · 3.9K citations
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19 publications · 1.5K citations
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