|
|
|
|
|
Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyuz, Md. Borhan, John Hendrickson, David Archer, Mark Liebig, David Toledo, Kevin Sedivec, Scott Kronberg and Jonathan Halvorson
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression and machine learning (ML) prediction models have been developed to understand the seasonal variability in grass and forage production, improve ma...
ver más
|
|
|
|
|
|
|
|
|
Ting Lu, Ce Zheng, Bao Zhou, Jing Wu, Xueke Wang, Yuan Zhao, Xiuhua Liu and Wenqian Yuan
In arid and semi-arid regions, rainfall takes on a critical significance to both agricultural and engineering construction activities, and the transport process and driving mechanism of soil water under rainfall conditions are in need of further investig...
ver más
|
|
|
|
|
|
|
|
|
Xuemin Gong, Yijia Wang, Tianyu Zhan, Chenxu Wang, Changjia Li and Yanxu Liu
Grassland ecosystems are among the largest terrestrial ecosystems in China, and grazing, as an important grassland management method, has direct and indirect impacts on grassland ecosystems. Meta-analyses can be used to systematically evaluate and summar...
ver más
|
|
|
|
|
|
|
|
|
Victoria Kamenchuk, Boris Rumiantsev, Sofya Dzhatdoeva, Elchin Sadykhov and Azret Kochkarov
Urban vertical farming is an innovative solution to address the increasing demand for food in densely populated cities. With advanced technology and precise monitoring, closed urban vertical farms can optimize growing conditions for plants, resulting in ...
ver más
|
|
|
|
|
|
|
|
|
Islombek Mirpulatov, Mikhail Gasanov and Sergey Matveev
Crop simulation models are an important tool for assessing agroecosystem performance and the impact of agrotechnologies on soil cover condition. However, the high uncertainty and labor intensiveness of long-term weather forecasting limits the applicabili...
ver más
|
|
|
|