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Om Prakash Sharma, Narayanan Kannan, Scott Cook, Bijay Kumar Pokhrel and Cameron McKenzie
Most of the recent studies on the consequences of extreme weather events on crop yields are focused on droughts and warming climate. The knowledge of the consequences of excess precipitation on the crop yield is lacking. We attempted to fill this gap by ...
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Nadia Shmygol
Pág. 47 - 54
This article deals with the prospects and trends of crop production development in Ukraine, as well as the methods and ways of supporting this industry by the state.According to the article, the primary objective of the state is to create conditions thro...
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Margarita Garcia-Vila, Rodrigo Morillo-Velarde and Elias Fereres
Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past ...
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Manuel López-Vicente and Gao-Lin Wu
This special issue includes six articles that cover a variety of issues about the topic of soil and water conservation in agricultural systems, including the following: a bibliometric analysis of soil and water conservation in the Loess Region of China; ...
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Zhe Zhao, Yali Yang, Hongtu Xie, Yixin Zhang, Hongbo He, Xudong Zhang and Shijun Sun
As the main organic materials, straw and manure play a critical role in soil organic carbon (SOC) sequestration and crop yield in China. This meta-analysis evaluated the impact of straw and manure amendments, both individually and combined, on crop yield...
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Stanislaw Sienkiewicz, Piotr Jaroslaw Zarczynski, Jadwiga Wierzbowska and Slawomir Józef Krzebietke
The proper fallowing of soil maintains or even improves its yield potential. The aim of this research was to compare five methods of soil protection with high production potential on the yield and quality of strategic plants. The tested methods consisted...
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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Huong Nguyen, Marcus Randall and Andrew Lewis
Food security has become a concerning issue because of global climate change and increasing populations. Agricultural production is considered one of the key factors that affects food security. The changing climate has negatively affected agricultural pr...
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Rita Kamalova, Ekaterina Bogdan, Larisa Belan, Iren Tuktarova, Alexey Firstov, Ildar Vildanov and Irik Saifullin
The process of climate warming significantly affects agroclimatic resources and agricultural production. We study the agroclimatic resources and their variability on the territory of the Republic of Bashkortostan (Russia). The Bashkortostan has a high ag...
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Anthony A. Amori, Olufemi P. Abimbola, Trenton E. Franz, Daran Rudnick, Javed Iqbal and Haishun Yang
Model calibration is essential for acceptable model performance and applications. The Hybrid-Maize model, developed at the University of Nebraska-Lincoln, is a process-based crop simulation model that simulates maize growth as a function of crop and fiel...
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