|
|
|
Yongzhe Sun, Linxiao Miao, Ziming Zhao, Tong Pan, Xueying Wang, Yixin Guo, Dawei Xin, Qingshan Chen and Rongsheng Zhu
The investigation of plant phenotypes through 3D modeling has emerged as a significant field in the study of automated plant phenotype acquisition. In 3D model construction, conventional image preprocessing methods exhibit low efficiency and inherent ine...
ver más
|
|
|
|
|
|
Rui Li, Huaiwen Wang, Bingbing Shen and Xingwei Yao
In order to rapidly and non-destructively detect the residual rate of emamectin benzoate+indoxacarb pesticides on cauliflower, a study was conducted using hyperspectral technology to investigate the dissipation law of this pesticide over time. Hyperspect...
ver más
|
|
|
|
|
|
Peng Lyu, Jeongik Min and Juwhan Song
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br...
ver más
|
|
|
|
|
|
Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang and Yunxiang Chu
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CNN al...
ver más
|
|
|
|
|
|
Yuqing Zhang, Weijian Zhang, Chengxuan Wu, Fengwu Zhu and Zhida Li
The internal temperature of the pigsty has a great impact on the pigs. Keeping the temperature in the pigsty within a certain range is a pressing problem in environmental control. The current pigsty temperature regulation method is based mainly on manual...
ver más
|
|
|