Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Shraddha Rawat"'
1
Akademický článek
Climatic trends and its impact on reference evapotranspiration and crop water requirement of rice crop in Arunachal Pradesh, India
Autor: LACHI DREMA, SHWETA GAUTAM, SHRADDHA RAWAT
Publikováno v: Journal of Agrometeorology, Vol 26, Iss 2 (2024)
Arunachal Pradesh in one of the largest states in north eastern states of India, having subtropical humid climate influenced by monsoon. An attempt has therefore, been made to understand the climatic conditions of the state and its influence on the r
Externí odkaz: https://doaj.org/article/b814e785d51e4f8cb65df422a4827507
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2
Akademický článek
Biometeorological aspects of conception rate in cattle
Autor: SHRADDHA RAWAT, A. S. NAIN, SUMANA ROY
Publikováno v: Journal of Agrometeorology, Vol 16, Iss 1 (2022)
The vulnerability of animal production to Thermal Humidity Index (THI) has hardly been documented in India and hence one study on climate and weather on the conception rate of cattle was conducted at Pantnagar, Uttarakhand. In the study, meteorologic
Externí odkaz: https://doaj.org/article/a9c8af0521574df5bd449b903717b7e7
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3
Akademický článek
Utility of gridded data for yield prediction of wheat using DSSAT model
Autor: ADITA MISHRA, B. MEHRA, SHRADDHA RAWAT, S. GAUTAM, EKTA P. MISHRA
Publikováno v: Journal of Agrometeorology, Vol 22, Iss 3 (2020)
Externí odkaz: https://doaj.org/article/82d4d7d2269d4420953329951b93d762
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4
Akademický článek
Drought assessment for kharif rice using standardized precipitation index (SPI) and vegetation condition index (VCI)
Autor: DEEPA B. KAMBLE, SHWETA GAUTAM, HIMANI BISHT, SHRADDHA RAWAT, ARNAB KUNDU
Publikováno v: Journal of Agrometeorology, Vol 21, Iss 2 (2019)
The monthly weather data for 31 years from 1985-2015 was used to analyze the extent of meteorological drought using standardized precipitation index (SPI) over Allahabad, Kanpur and Lucknow. MODIS NDVI data from 2000-2015 was used for monitoring of a
Externí odkaz: https://doaj.org/article/292497dde9814480a13d064cfeeee7ec
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6
Impact of weather parameters on mustard yield in two diverse locations of India
Autor: Adita Mishra, Shraddha Rawat, Shweta Gautam, Ekta P Mishra
Publikováno v: Ecology, Environment and Conservation. 29:199-203
Different weather parameters and its variation effect the growth and development of oilseeds, cereals and other agriculture crops. Weather also plays a significant role by influencing growth and pod formation of mustard at various growth stages. As I
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63e1d91eea48fb021d2297814dc3395a
https://doi.org/10.53550/eec.2023.v29i01.033
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7
Regional Time Series Forecasting of Chickpea using ARIMA and Neural Network Models in Central Plains of Uttar Pradesh (India)
Autor: Shraddha Rawat, Ashish Ratn Mishra, Shweta Gautam, Ekta Pathak Mishra, Bukke Vennela
Publikováno v: International Journal of Environment and Climate Change. :2879-2889
Climate and yield prediction are the most important and challenging tasks in modern agriculture during the climate change era. In general, climate and yield are mostly non-linear and highly complicated. India is an agricultural country and most of it
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27685c97a3328ba36e521e250c335ea8
https://doi.org/10.9734/ijecc/2022/v12i1131280
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8
Comparison between Different Mustard Yield Prediction Models Developed using Various Techniques for Udaipur Region of Rajasthan
Autor: Ekta P. Mishra, Shweta Gautam, Shraddha Rawat, Adita Mishra
Publikováno v: International Journal of Environment and Climate Change. :475-485
The present research was conducted to develop and compare mustard yield prediction models using SPSS regression, Artificial Neural Network (ANN) and Autoregressive Moving Average (ARIMA) model. Mustard crop is one of the major rabi crops of India wit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e2a837b2060f9e85301f3df6f6a12804
https://doi.org/10.9734/ijecc/2022/v12i1130997
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9
Biometeorological aspects of conception rate in cattle
Autor: null SHRADDHA RAWAT, null A. S. NAIN, null SUMANA ROY
Publikováno v: Journal of Agrometeorology. 16:116-120
The vulnerability of animal production to Thermal Humidity Index (THI) has hardly been documented in India and hence one study on climate and weather on the conception rate of cattle was conducted at Pantnagar, Uttarakhand. In the study, meteorologic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eded028b1911ef132b546b5afef3797f
https://doi.org/10.54386/jam.v16i1.1495
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10
Drought assessment for kharif rice using standardized precipitation index (SPI) and vegetation condition index (VCI)
Autor: null DEEPA B. KAMBLE, null SHWETA GAUTAM, null HIMANI BISHT, null SHRADDHA RAWAT, null ARNAB KUNDU
Publikováno v: Journal of Agrometeorology. 21:182-187
The monthly weather data for 31 years from 1985-2015 was used to analyze the extent of meteorological drought using standardized precipitation index (SPI) over Allahabad, Kanpur and Lucknow. MODIS NDVI data from 2000-2015 was used for monitoring of a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc6affa7b42af3d12fd32eaccf55f18c
https://doi.org/10.54386/jam.v21i2.230
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