Výsledky vyhledávání - "DEB SANKAR GUPTA"

Akademický článek

Prediction of potato late blight disease incidence based on weather variables using statistical and machine learning models: A case study from West Bengal

Autor: VAIDHEKI M, DEB SANKAR GUPTA, PRADIP BASAK, MANOJ KANTI DEBNATH, SATYAJIT HEMBRAM, AJITH S.

Publikováno v: Journal of Agrometeorology, Vol 25, Iss 4 (2023)

Late blight is one of the most devastating diseases on potato the world over, including West Bengal, India. The economic and yield losses from outbreaks of potato late blight can be huge. In this article, application of statistical models such as aut

Externí odkaz: https://doaj.org/article/45b1b602596d4a8a9264107348991a7b

Zobrazit plný text záznamu

Akademický článek

Comparative evaluation of penalized regression models with multiple linear regression for predicting rapeseed-mustard yield: Weather-indices based approach

Autor: AJITH S, MANOJ KANTI DEBNATH, DEB SANKAR GUPTA, PRADIP BASAK, SUBHENDU BANDYOPADHYAY, SHYAMAL KHEROAR, RAGINI HR

Publikováno v: Journal of Agrometeorology, Vol 25, Iss 3 (2023)

Rapeseed-mustard (Brassica spp.) is one of the important edible oilseeds crops in India. The same level of weather condition impacts the growth and establishment of rapeseed-mustard plant differently in different stages of crop which lead to large in

Externí odkaz: https://doaj.org/article/2057376e94f94f00908f5a7987ce3d99

Zobrazit plný text záznamu

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

Zobrazit plný text záznamu

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56cce5ca3d2c8f91fded899a781eb388
https://doi.org/10.54386/jam.v25i2.1915

Zobrazit plný text záznamu

Forecasting of Kharif Rice and Jute Yield in North Bengal through Statistical Model

Autor: Anwesh Rai, Soumen Mondal, Subhendu Bandyopadhyay, Kousik Nandi, Deb Sankar Gupta

Publikováno v: International Journal of Environment and Climate Change. :60-65

Crop yield forecasting under the present climate change scenario needs an effective model and its parameter that how crop respond to the weather variable. A number of weather based models have been developed to estimate the crop yield for the various

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::106042fa4de9f9ea6c3e4876e88d3cc8
https://doi.org/10.9734/ijecc/2021/v11i230362

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání