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Roei Grimberg, Meir Teitel, Shay Ozer, Asher Levi and Avi Levy
Since leaf temperature (LT) is not a trivial measurement, deep-neural networks (DNN) and machine learning (ML) models were evaluated in this study as tools for estimating foliage temperature. Two DNN methods were used. The first DNN used convolutional la...
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Guopeng Mi, Yan Liu, Tao Wang, Jianxin Dong, Shilin Zhang, Qiwei Li, Kezhou Chen and Yuxiang Huang
This study aimed to improve the measurement accuracy of the discrete element method (DEM) simulation parameters of sorghum seeds for enhanced model accuracy. We measured the intrinsic and contact parameters of sorghum seeds, extracted the outline of the ...
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Jiawei Li, Qifeng Li, Weihong Ma, Xianglong Xue, Chunjiang Zhao, Dan Tulpan and Simon X. Yang
Body dimensions are key indicators for the beef cattle fattening and breeding process. On-animal measurement is relatively inefficient, and can induce severe stress responses among beef cattle and pose a risk for operators, thereby impacting the cattle?s...
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Tuomo Kauranne, Sergey Pyankov, Virpi Junttila, Alexander Kedrov, Andrey Tarasov, Anton Kuzmin, Jussi Peuhkurinen, Maria Villikka, Ville-Matti Vartio and Sanna Sirparanta
Airborne laser scanning (ALS) based stand level forest inventory has been used in Finland and other Nordic countries for several years. In the Russian Federation, ALS is not extensively used for forest inventory purposes, despite a long history of resear...
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