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Chenbo Shi, Yanhong Cheng, Chun Zhang, Jin Yuan, Yuxin Wang, Xin Jiang and Changsheng Zhu
The detection of poultry egg microcracks based on electrical characteristic models is a new and effective method. However, due to the disorder, mutation, nonlinear, time discontinuity, and other factors of the current data, detection algorithms such as s...
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Shiwei Ruan, Hao Cang, Huixin Chen, Tianying Yan, Fei Tan, Yuan Zhang, Long Duan, Peng Xing, Li Guo, Pan Gao and Wei Xu
Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and quality. Recently, the combination of machine learning and deep learning with hyperspectral images has significantly improved the efficiency of crop detection. Howeve...
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Dana Cirjak, Ivan Aleksi, Ivana Miklecic, Ana Marija Antolkovic, Rea Vrtodu?ic, Antonio Viduka, Darija Lemic, Tomislav Kos and Ivana Pajac ?ivkovic
The pear leaf blister moth is a significant pest in apple orchards. It causes damage to apple leaves by forming circular mines. Its control depends on monitoring two events: the flight of the first generation and the development of mines up to 2 mm in si...
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Ashenafi Azage Mitiku, Dries Vandeweyer, Ines Adriaens, Yisehak Kechero, Leen Van Campenhout and Ben Aernouts
Preservation of widely available crop residues as silage could reduce feed shortages in Ethiopia. Four mixtures of banana pseudostem (BPS) and fresh maize stover (FMS) were prepared for fermentation considering the local conditions and available resource...
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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...
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