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Akademický článek

UAV-enabled approaches for irrigation scheduling and water body characterization

Autor: Manish Yadav, B.B. Vashisht, Niharika Vullaganti, Prem Kumar, S.K. Jalota, Arun Kumar, Prashant Kaushik

Publikováno v: Agricultural Water Management, Vol 304, Iss , Pp 109091- (2024)

In recent years, precision agriculture has seen a substantial increase in the use of unmanned aerial vehicles (UAVs). They have shown great potential in spraying, nutrient application, irrigation scheduling, field mapping, yield estimation, and crop

Externí odkaz: https://doaj.org/article/e9baf9b077174340bf1c8f39ccacbec6

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Akademický článek

Critical analysis of temporal climate change and ensuing frequency of crop yield constraining temperatures

Autor: S.K. JALOTA, PRABHJYOT KAUR, JATINDER KAUR, P.K. KINGRA, B.B. VASHISHT

Publikováno v: Journal of Agrometeorology, Vol 22, Iss 3 (2020)

Critical analysis of magnitudes andtrends of temporal changes in maximum (Tmax) and minimum (Tmin) temperatures as well as rainfall during three time series i.e. past (observed data, 1970-1990), present (observed data, 1989-2018) and future (bias cor

Externí odkaz: https://doaj.org/article/de4b429556964e1b8f4d550be7d446ae

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Akademický článek

Impact of temperature variability and management interventions on productivity of wheat

Autor: B.B. VASHISHT, S.K. JALOTA

Publikováno v: Journal of Agrometeorology, Vol 20, Iss 1 (2018)

Field experiments for six seasons (2008–09 to 2013–2014) and simulations for mid–century (2021-2050) were carried out to (i) understand impact of inter– and intra– seasonal temperature variability on wheat yield, and (ii) identify best mana

Externí odkaz: https://doaj.org/article/f304c90c37914719b2ca3f815f74287b

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Critical analysis of temporal climate change and ensuing frequency of crop yield constraining temperatures

Autor: null S.K. JALOTA, null PRABHJYOT KAUR, null JATINDER KAUR, null P.K. KINGRA, null B.B. VASHISHT

Publikováno v: Journal of Agrometeorology. 22:339-352

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91776a91799e70736f4a82ad70cf0257
https://doi.org/10.54386/jam.v22i3.295

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Assessing and Ranking Influence of Rates of Rice (Oryza sativa L.) Straw Incorporation and N Fertilizer on Soil Physicochemical Properties and Wheat (Triticum aestivum L.) Yield in Rice-Wheat System

Autor: S.K. Jalota, Sandeep Sharma, B.B. Vashisht, P. R. Ramteke

Publikováno v: Journal of Soil Science and Plant Nutrition. 22:515-526

The purpose of this study is to assess the individual and interactive effects of different rates of rice straw incorporation, Rsti, (0, 5, 7.5, and 10 t ha−1) and nitrogen fertilizer, N, (0, 90, 120, and 150 kg ha−1) on changes in physicochemical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ac905d6ee7493c21bcc3ebe71c0e8f5
https://doi.org/10.1007/s42729-021-00665-z

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Akademický článek

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Field water budget of crops as influenced by soil texture, climate change and management interventions

Autor: B.B. Vashisht, S.K. Jalota, Samanpreet Kaur

Publikováno v: Agricultural Research Journal. 58:373-382

Information on water balance from cropped soils is crucial for enhancing water productivity and computing spatial and temporal irrigation water and evapo-transpiration (ET) demand. The available literature on water balance components in the major cro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b5ca7bd9849edf6ce764f7593e02d46
https://doi.org/10.5958/2395-146x.2021.00054.5

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Akademický článek

Adapting cropping systems to future climate change scenario in three agro-climatic zones of Punjab, India

Autor: S.K. JALOTA, B.B. VASHISHT

Publikováno v: Journal of Agrometeorology, Vol 18, Iss 1 (2016)

The present study focuses on (1) projections of future climate data (for the years of 2020, 2050 and 2080) from three general circulation models (HadCM3, CCCMA-CGCM2 and CSIRO-MK2) for two scenarios (A2 and B2) for three agro-climatic zones of the In

Externí odkaz: https://doaj.org/article/0892b296ce9d4ee8acaca10e14fb9cdd

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Akademický článek

Evaluation of statistical corrective methods to minimize bias at different time scales in a regional climate model driven data

Autor: SAMANPREET KAUR, S.K. JALOTA, HARSIMRAN KAUR, B.B. VASHISHT, U.R. JALOTA, P.P.S. LUBANA

Publikováno v: Journal of Agrometeorology, Vol 17, Iss 1 (2015)

The regional climate models provide sufficient information of the climate data, which can be used for simulating the impact of expected climate change on crop growth and hydrological processes. But future climate data derived from such models often s

Externí odkaz: https://doaj.org/article/6f12351c12d54e0d9859d992360bcbc3

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Akademický článek

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