Výsledky vyhledávání - "Pradip Basak"

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

On the methodological framework of composite index under complex surveys and its application in development of food consumption index for India

Autor: Deepak Singh, Pradip Basak, Raju Kumar, Tauqueer Ahmad

Publikováno v: Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)

Indices are created by consolidating multidimensional data into a single representative measure known as an index, using a fundamental mathematical model. Most present indices are essentially the averages or weighted averages of the variables under s

Externí odkaz: https://doaj.org/article/5970c22bbf8c4ed88a87f4cf07147e3b

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

Akademický článek

District level crop yield estimation with reduced number of crop cutting experiments

Autor: Kaustav Aditya, Hukum Chandra, Pradip Basak, Vandita Kumari, Shrila Das

Publikováno v: The Indian Journal of Agricultural Sciences, Vol 90, Iss 6 (2020)

It was observed that around 1300000 Crop Cutting Experiments (CCE) were conducted in India every year to find out the crop yield estimates of several major and minor crops under General Crop Estimation Surveys (GCES). Due to shortage of manpower and

Externí odkaz: https://doaj.org/article/8bbe8e4d86a8476ea33ce0c7fa9f8874

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

Evaluation of cotton establishment methods and zinc nutritionon productivity,zinc uptake, zinc use efficiency and fibre quality of Btcotton (Gossypium hirsutum L.) in Upper Gangetic Plain of India

Autor: Tarun Paul, Prithusayak Mondal, Pradip Basak, D. S. Rana

A field experiment was conducted during rainy seasons of 2013 and 2014 to evaluate the performance of cotton establishment methods and zinc nutrition on zinc use efficiency, productivity and quality of Bt cotton. The experiment was laid out in split

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa51056a794e92b880298325916c91e4
https://doi.org/10.21203/rs.3.rs-1974641/v1

Zobrazit plný text záznamu

Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model

Autor: Priyanka Anjoy, Hukum Chandra, Pradip Basak

Publikováno v: Social Indicators Research. 144:251-273

Sustainable development goal-1 of the United Nations is to end poverty in all its forms everywhere. The estimates of poverty related parameters obtained from large scale sample survey are often available at large domain level (e.g. state level). But,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c8836a5699c435f7e601e0e54c5463b
https://doi.org/10.1007/s11205-018-2050-9

Zobrazit plný text záznamu

A MULTI-STAGE GAN BASED FRAMEWORK FOR THE GENERATION OF HIGH-RESOLUTION MAMMOGRAPHY IMAGES

Autor: Rangan Das, Utsav Bandyopadhyay Maulik, Ujjwal Maulik, Saumik Bhattacharya, Pradip Basak

Publikováno v: CONTEMPORARY ISSUES IN COMPUTING.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c030ea6bb64f95aaac430c92f18901d3
https://doi.org/10.26480/cic.01.2020.72.75

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání