Zobrazeno 1 - 10
of 304
pro vyhledávání: '"Amit Kumar Srivastava"'
Autor:
Pankaj Dumka, Rishika Chauhan, Kritik Rana, Krishana Gajula, Ashutosh Mishra, Amit Kumar Srivastava, Dhananjay R. Mishra
Publikováno v:
Spreadsheets in Education (2024)
The objective of this article is to showcase the capabilities of the Microsoft Excel package in simulating the performance of the Rankine Cycle with a single bleed point. Thermodynamic properties are derived using specialized Excel tools designed for
Externí odkaz:
https://doaj.org/article/dbdbfda301c64ebd9856706479b7007f
Autor:
Christian Simanjuntak, Thomas Gaiser, Hella Ellen Ahrends, Andrej Ceglar, Manmeet Singh, Frank Ewert, Amit Kumar Srivastava
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Extreme climate events can have a significant negative impact on maize productivity, resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed for developing future adaptation and mitigation strategies, es
Externí odkaz:
https://doaj.org/article/e13ceedbe78045a980048217a405eafc
Publikováno v:
Agronomy, Vol 14, Iss 5, p 1084 (2024)
Accurate crop classification is of vital importance for agricultural water management. Most researchers have achieved crop classification by model optimization in the same temporal and regional domain by adjusting the value of input features. This st
Externí odkaz:
https://doaj.org/article/d67ae7c125934d27a11207a03b87761d
Autor:
Aram Gorooei, Amir Aynehband, Dominik Behrend, Sabine J. Seidel, Amit Kumar Srivastava, Afrasyab Rahnama, Thomas Gaiser
Publikováno v:
Applied and Environmental Soil Science, Vol 2024 (2024)
Several indices can be used to assess the impact of short-term conservation agriculture strategies on improving soil organic carbon (SOC). To find out how the SOC pools and the carbon lability influence the carbon management index (CMI) in response t
Externí odkaz:
https://doaj.org/article/c99ebd9e5b3a491dabc287576d702c7c
Autor:
Karam Alsafadi, Shuoben Bi, Hazem Ghassan Abdo, Hussein Almohamad, Basma Alatrach, Amit Kumar Srivastava, Motrih Al-Mutiry, Santanu Kumar Bal, M. A. Sarath Chandran, Safwan Mohammed
Publikováno v:
Geoscience Letters, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract Due to rapid population growth and the limitation of land resources, the sustainability of agricultural ecosystems has attracted more attention all over the world. Human activities will alter the components of the atmosphere and lead to clim
Externí odkaz:
https://doaj.org/article/aa875cedd8c5409183da7cad65cfbd63
Publikováno v:
Frontiers in Agronomy, Vol 5 (2023)
Grain legumes are essential for the protein supply to an ever-growing population in Africa. However, little is known about the adaptational potential and thus resilience to abiotic stress of major grain legumes under future climatic change for the ev
Externí odkaz:
https://doaj.org/article/251ceb5246d0453ab475acf4241876ae
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Climate change impacts on maize production in South Africa, i.e., interannual yield variabilities, are still not well understood. This study is based on a recently released reanalysis of climate observations (AgERA5), i.e., temperature, prec
Externí odkaz:
https://doaj.org/article/321d811d5fd346989714443a508c07c6
Autor:
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki, Gina Lopez, Wenzhi Zeng, Frank Ewert, Thomas Gaiser, Jaber Rahimi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction
Externí odkaz:
https://doaj.org/article/bfc6128b29e849c19c8844faa6584109
Autor:
Amit Kumar Srivastava, Frank Ewert, Akinola Shola Akinwumiju, Wenzhi Zeng, Andrej Ceglar, Kodjovi Senam Ezui, Adedeji Adelodun, Abass Adebayo, Jumoke Sobamowo, Manmeet Singh, Jaber Rahimi, Thomas Gaiser
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 6 (2023)
IntroductionCassava production is essential for food security in sub-Saharan Africa and serves as a major calorie-intake source in Nigeria. Estimating the yield gap in Nigeria is essential to indicate the most important limiting factors for productio
Externí odkaz:
https://doaj.org/article/312f09aba1ce424ea1891c106007364b
Publikováno v:
Italian Journal of Agronomy, Vol 17, Iss 4 (2022)
Crop models are useful tools for simulating the impact of climate change on crop growth, development and yield. This study assesses the impact of climate change on cowpea yield in soils with low levels of phosphorous content mainly in the Sudan Savan
Externí odkaz:
https://doaj.org/article/969a5e63726c4b5aa8e1f89d3aa9a096