Author:
de Castro Pereira Rubens,Hirose Edson,Ferreira de Carvalho Osmar Luiz,da Costa Ronaldo Martins,Borges Díbio Leandro
Funder
Fundação de Apoio à Pesquisa do Distrito Federal
Universidade Federal de Goiás
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Empresa Brasileira de Pesquisa Agropecuária
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference22 articles.
1. Using digital image processing for counting whiteflies on soybean leaves;Barbedo;J. Asia-Pac. Entomol.,2014
2. Detecting and classifying pests in crops using proximal images and machine learning: A review;Barbedo;AI,2020
3. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M., 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934.
4. A cognitive vision approach to early pest detection in greenhouse crops;Boissard;Comput. Electron. Agric.,2008
5. Carvalho, O.L.F.d., de Carvalho Junior, O.A., Albuquerque, A.O.d., Bem, P.P.d., Silva, C.R., Ferreira, P.H.G., Moura, R.d.S.d., Gomes, R.A.T., Guimaraes, R.F., Borges, D.L., 2020. Instance segmentation for large, multi-channel remote sensing imagery using mask-rcnn and a mosaicking approach. Remote Sensing 13, 39.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献