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Akademický článek
Prediction of major pest incidence in Jute crop based on weather variables using statistical and machine learning models: A case study from West Bengal
Autor: PRAHLAD SARKAR, PRADIP BASAK, CHINMAYA SUBHRAJYOTI PANDA, DEB SANKAR GUPTA, MRINMOY RAY, SABYASACHI MITRA
Publikováno v: Journal of Agrometeorology, Vol 25, Iss 2 (2023)
Jute crop cultivated in Cooch Behar suffers a substantial amount of physical and economical loss every year due to several major insect pest infestation such as Yellow Mite (Polyphagotarsonemus latus Banks) and Jute Semilooper (Anomis sabulifera Guen
Externí odkaz: https://doaj.org/article/28455e091083483cab4d89192c1dbc2c
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2
Prediction of major pest incidence in Jute crop based on weather variables using statistical and machine learning models: A case study from West Bengal
Autor: null PRAHLAD SARKAR, null PRADIP BASAK, null CHINMAYA SUBHRAJYOTI PANDA, null DEB SANKAR GUPTA, null MRINMOY RAY, null SABYASACHI MITRA
Publikováno v: Journal of Agrometeorology. 25:305-311
Jute crop cultivated in Cooch Behar suffers a substantial amount of physical and economical loss every year due to several major insect pest infestation such as Yellow Mite (Polyphagotarsonemus latus Banks) and Jute Semilooper (Anomis sabulifera Guen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56cce5ca3d2c8f91fded899a781eb388
https://doi.org/10.54386/jam.v25i2.1915
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