Machine Learning Crop Classification
Machine Learning Crop Classification is a computational methodology that employs machine learning algorithms to categorize crops in agricultural landscapes based on remotely sensed data, distinguishing itself from traditional classification techniques through its capacity to autonomously learn and adapt discriminative patterns from large, complex datasets.
585
Publications
32.5K
Citations
2.3K
Authors
801
Institutions
Publications per year
2017–2026
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3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
Shunping Ji, Chi Zhang, Anjian Xu et al. · Remote Sensing · 2018 · 393 citations · Full text
Agriculture, Agronomy, Crop Sciences +15
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Chitkara University
Chandigarh, India
14 h-index
32 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
40 publications
2.4K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
12 h-index
53 publications
2.3K citations
China Agricultural University
Beijing, China
12 h-index
50 publications
3.3K citations
Vellore Institute of Technology University
Vellore, India
9 h-index
19 publications
879 citations
Nanjing Agricultural University
Nanjing, China
7 h-index
57 publications
1.5K citations
SRM Institute of Science and Technology
Chennai, India
7 h-index
11 publications
447 citations
Chinese Academy of Agricultural Sciences
Beijing, China
7 h-index
16 publications
1.1K citations
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36 publications · 4.3K citations
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21 publications · 1.2K citations
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16 publications · 696 citations
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11 publications · 684 citations
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11 publications · 706 citations
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