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Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut...
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Cori Salinas, Edward Osei, Mark Yu, Selin Guney, Ashley Lovell and Eunsung Kan
Wheat offers winter forage for cattle grazing and is one of the most valuable cash crops in Texas. In this study, we evaluate the impacts of climate change projections on winter wheat grain yields in five major wheat producing counties in Texas (Deaf Smi...
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Leonardo Verdi, Anna Dalla Marta, Simone Orlandini, Anita Maienza, Silvia Baronti and Francesco Primo Vaccari
The contribution of animal waste storage on GHG emissions and climate change is a serious issue for agriculture. The carbon emissions that are generated from barns represent a relevant source of emissions that negatively affect the environmental performa...
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Liquan Jing, Xunkang Wang, Yihan Zhao, Fan Li, Yu Su, Yang Cai, Fucheng Zhao, Guichun Dong, Lianxin Yang and Yunxia Wang
Duckweed growing in paddy fields (DGP) has substantially increased because of the effects of climate warming and/or eutrophication in irrigated water. Previous studies have primarily focused on investigating the effects of DGP as a nonchemical agent for ...
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Monika Skowronska, Sebastian Kusmierz and Jacek Walczak
Carbon and nitrogen compounds in agroecosystems have attracted much attention in recent years due to their key roles in crop production and their impacts on environment quality and/or climate change. Since fertilization profoundly disrupted the C and N c...
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