Coffee Disease Visualization and Classification

Autor: Milkisa Yebasse, Birhanu Shimelis, Henok Warku, Jaepil Ko, Kyung Joo Cheoi

Publikováno v: Plants, Vol 10, Iss 6, p 1257 (2021)

Deep learning architectures are widely used in state-of-the-art image classification tasks. Deep learning has enhanced the ability to automatically detect and classify plant diseases. However, in practice, disease classification problems are treated

Externí odkaz: https://doaj.org/article/2b46335f97ef4110b2dcb8e06e59023c

AUTOMATED COFFEE PLANTATION MONITORING AND DISEASE RECOVERY USING IOT AND MACHINE LEARNING

Autor: Chettissery, Chris, Dr. P.S. Rajakumar, Dr. S. Geetha

A rise in food production is necessary to keep pace with the rapid growth of the human population. Diseases with a high rateof spreading can severely reduce plant yields and even wipe out the entire plantation. One cannot overstate the value of early

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::385f25675e17dd56bf096d9668eac050

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Período de incubação da ferrugem do cafeeiro

Autor: Waldenilza Monteiro Vital Alfonsi, Priscila Pereira Coltri, Flávia Rodrigues Alves Patrício, Eduardo Lauriano Alfonsi, Jurandir Zullo Junior

Publikováno v: Summa Phytopathologica, Vol 45, Iss 2, Pp 134-140 (2019)
Summa Phytopathologica v.45 n.2 2019
Summa phytopathologica
Grupo Paulista de Fitopatologia
instacron:GPF
Summa Phytopathologica, Volume: 45, Issue: 2, Pages: 134-140, Published: 10 JUL 2019

RESUMO O café é uma das culturas com grande expressão mundial e, dentre as principais doenças, a ferrugem do cafeeiro (Hemileia vastatrix Berk. & Br.), é considerada a mais importante. Uma das formas de avaliar a severidade da ferrugem é por me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa3ab7730e5b691ace783da27f63dd95
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-54052019000200134&tlng=pt

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