Insights for improving bacterial blight management in coffee field using spatial big data and machine learning
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40858-021-00474-w.pdf
Reference75 articles.
1. Alves MC, Pozza EA, Machado JC, Araújo DV, Talamini V, Oliveira MS (2006) Geoestatistics as methodology to study the space-time dynamics of diseases transmitted by seed-borne Colletotrichum spp. Fitopatologia Brasileira 31:557–563
2. Alves MC, Silva FM, Pozza EA, Oliveira MS (2009) Modeling spatial variability and pattern of rust and brown eye spot in coffee agroecosystem. Journal of Pest Science 82:137–148
3. Alves MC, Pozza EA, Costa JCB, Carvalho LG, Alves LS (2011) Adaptive neuro-fuzzy inference systems for epidemiological analysis of soybean rust. Environmental Modelling & Software 26:1089–1096
4. Aparecido LEO, Souza Rolim G, Silva Cabral Moraes JR, Costa CTS, Souza PS (2020) Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases. International Journal of Biometeorology 64:671–688
5. Avelino J, Cabut S, Barboza B, Barquero M, Alfaro R, Esquivel C, Durand JF, Cilas C (2007) Topography and crop management are key factors for the development of American leaf spot epidemics on coffee in Costa Rica. Phytopathology 97:1532–1542
Cited by 1 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
1. Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review;Frontiers in Plant Science;2023-03-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3