Project-AgML/CT_PestNet_crop_pest_classification

Ct Pestnet Crop Pest Classification

This dataset provides real-world RGB images of crop pests collected in natural field environments using ground-based platforms. It features a diverse range of pest species observed under typical agricultural conditions, captured with standard visible-light cameras. The collection offers a practical resource for developing computer vision models to identify and monitor pests in crop fields. The dataset contains 75,222 images across 102 classes: rice leaf roller, rice leaf caterpillar, paddy stem maggot, asiatic rice borer, yellow rice borer, rice gall midge, Rice Stemfly, brown plant hopper, white backed plant hopper, small brown plant hopper, rice water weevil, rice leafhopper, grain spreader thrips, rice shell pest, grub, mole cricket, wireworm, white margined moth, black cutworm, large cutworm, yellow cutworm, red spider, corn borer, army worm, aphids, Potosiabre vitarsis, peach borer, english grain aphid, green bug, bird cherry-oataphid, wheat blossom midge, penthaleus major, longlegged spider mite, wheat phloeothrips, wheat sawfly, cerodonta denticornis, beet fly, flea beetle, cabbage army worm, beet army worm, Beet spot flies, meadow moth, beet weevil, sericaorient alismots chulsky, alfalfa weevil, flax budworm, alfalfa plant bug, tarnished plant bug, Locustoidea, lytta polita, legume blister beetle, blister beetle, therioaphis maculata Buckton, odontothrips loti, Thrips, alfalfa seed chalcid, Pieris canidia, Apolygus lucorum, Limacodidae, Viteus vitifoliae, Colomerus vitis, Brevipoalpus lewisi McGregor, oides decempunctata, Polyphagotars onemus latus, Pseudococcus comstocki Kuwana, parathrene regalis, Ampelophaga, Lycorma delicatula, Xylotrechus, Cicadella viridis, Miridae, Trialeurodes vaporariorum, Erythroneura apicalis, Papilio xuthus, Panonchus citri McGregor, Phyllocoptes oleiverus ashmead, Icerya purchasi Maskell, Unaspis yanonensis, Ceroplastes rubens, Chrysomphalus aonidum, Parlatoria zizyphus Lucus, Nipaecoccus vastalor, Aleurocanthus spiniferus, Tetradacus c Bactrocera minax, Dacus dorsalis(Hendel), Bactrocera tsuneonis, Prodenia litura, Adristyrannus, Phyllocnistis citrella Stainton, Toxoptera citricidus, Toxoptera aurantii, Aphis citricola Vander Goot, Scirtothrips dorsalis Hood, Dasineura sp, Lawana imitata Melichar, Salurnis marginella Guerr, Deporaus marginatus Pascoe, Chlumetia transversa, Mango flat beak leafhopper, Rhytidodera bowrinii white, Sternochetus frigidus, Cicadellidae.
Images per class:

• rice leaf roller: 1,115
• rice leaf caterpillar: 487
• paddy stem maggot: 261
• asiatic rice borer: 1,053
• yellow rice borer: 504
• rice gall midge: 506
• Rice Stemfly: 369
• brown plant hopper: 834
• white backed plant hopper: 893
• small brown plant hopper: 553
• rice water weevil: 856
• rice leafhopper: 404
• grain spreader thrips: 173
• rice shell pest: 409
• grub: 860
• mole cricket: 1,649
• wireworm: 887
• white margined moth: 147
• black cutworm: 854
• large cutworm: 491
• yellow cutworm: 479
• red spider: 529
• corn borer: 1,698
• army worm: 1,071
• aphids: 4,094
• Potosiabre vitarsis: 565
• peach borer: 691
• english grain aphid: 654
• green bug: 325
• bird cherry-oataphid: 708
• wheat blossom midge: 485
• penthaleus major: 233
• longlegged spider mite: 245
• wheat phloeothrips: 292
• wheat sawfly: 339
• cerodonta denticornis: 137
• beet fly: 104
• flea beetle: 789
• cabbage army worm: 855
• beet army worm: 1,604
• Beet spot flies: 299
• meadow moth: 270
• beet weevil: 308
• sericaorient alismots chulsky: 191
• alfalfa weevil: 524
• flax budworm: 1,066
• alfalfa plant bug: 656
• tarnished plant bug: 820
• Locustoidea: 1,394
• lytta polita: 654
• legume blister beetle: 1,409
• blister beetle: 1,897
• therioaphis maculata Buckton: 260
• odontothrips loti: 177
• Thrips: 879
• alfalfa seed chalcid: 185
• Pieris canidia: 469
• Apolygus lucorum: 381
• Limacodidae: 1,400
• Viteus vitifoliae: 354
• Colomerus vitis: 176
• Brevipoalpus lewisi McGregor: 79
• oides decempunctata: 283
• Polyphagotars onemus latus: 84
• Pseudococcus comstocki Kuwana: 307
• parathrene regalis: 140
• Ampelophaga: 764
• Lycorma delicatula: 5,310
• Xylotrechus: 1,150
• Cicadella viridis: 1,279
• Miridae: 5,081
• Trialeurodes vaporariorum: 692
• Erythroneura apicalis: 71
• Papilio xuthus: 449
• Panonchus citri McGregor: 385
• Phyllocoptes oleiverus ashmead: 172
• Icerya purchasi Maskell: 722
• Unaspis yanonensis: 419
• Ceroplastes rubens: 258
• Chrysomphalus aonidum: 225
• Parlatoria zizyphus Lucus: 74
• Nipaecoccus vastalor: 99
• Aleurocanthus spiniferus: 690
• Tetradacus c Bactrocera minax: 388
• Dacus dorsalis(Hendel): 439
• Bactrocera tsuneonis: 168
• Prodenia litura: 1,304
• Adristyrannus: 311
• Phyllocnistis citrella Stainton: 404
• Toxoptera citricidus: 189
• Toxoptera aurantii: 226
• Aphis citricola Vander Goot: 351
• Scirtothrips dorsalis Hood: 807
• Dasineura sp: 505
• Lawana imitata Melichar: 578
• Salurnis marginella Guerr: 487
• Deporaus marginatus Pascoe: 210
• Chlumetia transversa: 305
• Mango flat beak leafhopper: 93
• Rhytidodera bowrinii white: 555
• Sternochetus frigidus: 458
• Cicadellidae: 5,740

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

The original train/test/val split has been preserved in the split column.

Citation

@article{li2026ct,
  title={CT-PestNet: A novel crop pest classification model based on cross-scale feature distillation enhancement and vision transformer with local token interaction},
  author={Li, Youming and Cao, Weilin and Zhang, Liqiang},
  journal={PLOS One},
  volume={21},
  pages={e0356061},
  year={2026},
  publisher={Public Library of Science}
}

The dataset itself can be cited as:

Cao, W. (2026). IP102 (Version 1) [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.31768954.V1

This dataset was reformatted from its original format to match HuggingFace standards.