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Brianda Susana Velázquez-de-Lucio, Jorge Álvarez-Cervantes, María Guadalupe Serna-Díaz, Edna María Hernández-Domínguez and Joselito Medina-Marin
The incorporation of biodegraded substrates during the germination of horticultural crops has shown favorable responses in different crops; however, most of these studies evaluate their effect only in the first days of seedling life, and do not follow up...
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Zhao Xue, Jun Fu, Qiankun Fu, Xiaokang Li and Zhi Chen
Green forage maize harvesters face challenges such as high soil humidity and soft soil in the field, mismatched working parameters, and poor reliability and adaptability. These challenges often result in header blockage, significant harvest loss, and inc...
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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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