Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Efrem Yohannes Obsie"'
Publikováno v:
Agriculture, Vol 13, Iss 1, p 78 (2022)
Early detection and accurately rating the level of plant diseases plays an important role in protecting crop quality and yield. The traditional method of mummy berry disease (causal agent: Monilinia vaccinii-corymbosi) identification is mainly based
Externí odkaz:
https://doaj.org/article/803252094ffd4a4488414215c74710d3
Publikováno v:
Agronomy, Vol 11, Iss 9, p 1736 (2021)
Data deficiency prevents the development of reliable machine learning models for many agroecosystems, especially those characterized by a dearth of knowledge derived from field data. However, other similar agroecosystems with extensive data resources
Externí odkaz:
https://doaj.org/article/bc43ff281f6745b089a44594f2e45127
Publikováno v:
Computers and Electronics in Agriculture. 178:105778
The most challenging task in the agricultural sector is to accurately predict crop yield. A typical machine learning algorithm often uses real data to predict crop yield. In this study, we used data generated by the Wild Blueberry Pollination Model,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd966e178dfa00f9e72456323ef83596
https://doi.org/10.1016/j.compag.2020.105778
https://doi.org/10.1016/j.compag.2020.105778