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Tim Birr, Andreas Tillessen, Joseph-Alexander Verreet, Mario Hasler and Holger Klink
The application of fungicides in maize by the commonly used overhead spraying technique is more challenging than in small-grain cereals. Especially in later development stages, when the plant has reached a considerable height, lower plant organs (e.g., e...
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Yue Zhang, Yang Li, Xiang Han, Ang Gao, Shuaijie Jing and Yuepeng Song
Achieving fast and accurate prediction of the fruit mechanical damage area is important to improve the accuracy and efficiency of apple quality grading. In this paper, the spectral data of all samples in the wavelength range from 376 to 1011 nm were coll...
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Yanwei Liu, Ni Cao, Xiaolan Shi, Fei Meng, Yingjie Zhou, Haidong Wang and Qiliang Yang
Vertical agriculture has developed rapidly in recent years, pushing artificial light planting to new heights. Under indoor artificial light, the light supply mode has practical significance in studying the impact of lighting conditions on plants. This ex...
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Fuyang Tian, Xinwei Wang, Sufang Yu, Ruixue Wang, Zhanhua Song, Yinfa Yan, Fade Li, Zhonghua Wang and Zhenwei Yu
Existing push robots mainly use magnetic induction technology. These devices are susceptible to external electromagnetic interference and have a low degree of intelligence. To make up for the insufficiency of the existing material pushing robots, and at ...
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Miguel Garcia-Hidalgo,Ángela Blázquez-Casado,Beatriz Águeda,Francisco Rodriguez
Pág. eSC03
Aim of study: The main objective is to determine the best machine-learning algorithm to classify the stand types of Monteverde forests combining LiDAR, orthophotography, and Sentinel-2 data, thus providing an easy and cheap method to classify Monteverde ...
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