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Sheng Jiang, Ziyi Liu, Jiajun Hua, Zhenyu Zhang, Shuai Zhao, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Zhen Li and Shilei Lyu
Fruit maturity is a crucial index for determining the optimal harvesting period of open-field loofah. Given the plant?s continuous flowering and fruiting patterns, fruits often reach maturity at different times, making precise maturity detection essentia...
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Meysam Kazemi and Faramarz F. Samavati
Precision agriculture hinges on accurate soil condition data obtained through soil testing across the field, which is a foundational step for subsequent processes. Soil testing is expensive, and reducing the number of samples is an important task. One vi...
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Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra...
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John Efromson, Roger Lawrie, Thomas Jedidiah Jenks Doman, Matthew Bertone, Aurélien Bègue, Mark Harfouche, Dominic Reisig and R. Michael Roe
Rapid, accurate insect identification is the first and most critical step of pest management and vital to agriculture for determining optimal management strategies. In many instances, classification is necessary within a short developmental window. Two e...
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Ruilong Gao, Qiaojun Zhou, Songxiao Cao and Qing Jiang
Research into autonomous (robotic) apple picking has not yet resolved the problem of finding the optimal picking orientation. Robotic picking efficiency, in terms of picking all available apples without loss or damage, remains low. This paper proposes a ...
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