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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...
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Jingfu Zhang, Zhiwei Liu, Zhengxiang Shi, Leisheng Jiang and Tao Ding
The milk yield of dairy cows in a non-stressed state in the cold region in China is lower during cold seasons. In this study, the correlations between indoor environmental factors and milk production were analyzed. Temperature, relative humidity, and lig...
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Myung Hwan Na, Wan Hyun Cho, Sang Kyoon Kim and In Seop Na
Generally, measuring the weight of livestock is difficult; it is time consuming, inconvenient, and stressful for both livestock farms and livestock to be measured. Therefore, these problems must be resolved to boost convenience and reduce economic costs....
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Hong Chen, Shuai Qin and Haokun Wang
Promoting the high-quality development of agriculture is an inevitable requirement toward realizing the transformation from a large agricultural country to a powerful one, and optimizing factor allocation is a prerequisite. In this paper, we use spatial ...
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Quan Xu, Mengting Jin and Peng Guo
Timely and accurate information on crop planting structures is crucial for ensuring national food security and formulating economic policies. This study presents a method for high-precision crop classification using time-series UAV (unmanned aerial vehic...
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