|
|
|
|
|
Fredrik Regler and Heinz Bernhardt
This study addresses the challenge of subjective remounting decisions in calf and heifer rearing, typically driven by the animal caretaker?s feelings and experience, lacking a robust data foundation. Key factors such as developmental delays, diseases, or...
ver más
|
|
|
|
|
|
|
|
|
Adam Szabo, Daniel Karoly Doba, Szilard Aradi and Peter Kiss
The number of highly automated machines in the agricultural sector has increased rapidly in recent years. To reduce their fuel consumption, and thus their emission and operational cost, the performance of such machines must be optimized. The running gear...
ver más
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
Kaiwen Ji, Qiaoyun Hou, Yi Yu and Dan Pan
Reducing carbon emissions is of paramount importance to the accomplishment of the 2030 Sustainable Development Goals. The effect of rural e-commerce on agricultural carbon emissions (ACEs) is controversial, and particularly the mechanism behind the effec...
ver más
|
|
|
|
|
|
|
|
|
Chengmei Shang, Zhixi Geng, Yuanyuan Sun, Dongxue Che, Qingjiao Zhao, Ting Chen, Ming Tang and Lijuan Huo
With the development of industrial activities and the agricultural and mining industries, farmland soils are facing serious problems related to heavy metal contamination, especially cadmium (Cd) and arsenic (As) contamination. In this study, two industri...
ver más
|
|
|
|