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Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro...
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Gelsomina Manganiello, Nicola Nicastro, Luciano Ortenzi, Federico Pallottino, Corrado Costa and Catello Pane
Fusarium oxysporum f. sp. lactucae is one of the most aggressive baby-lettuce soilborne pathogens. The application of Trichoderma spp. as biocontrol agents can minimize fungicide treatments and their effective targeted use can be enhanced by support of d...
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Wenfei Guan, Wenzhong Guo, Fan Chen, Xiaobei Han, Haiguang Wang, Weituo Sun, Qian Zhao, Dongdong Jia, Xiaoming Wei and Qingzhen Zhu
To address the issues of excessive heat loss from the roofs of multi-span greenhouses and high energy consumption for heating during winter production, we propose an approach for the external insulation of the roof of multi-span glass greenhouses and hav...
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Theresa Reinhardt Piskácková and Miroslav Jursík
In order to achieve integrated weed management, precision timing is just as important an aspect to consider as spatial precision: the stage of the plant at the time of action will impact its successful control or survivability and thus the selection pres...
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Natalia Miler, Alicja Tymoszuk, Monika Rewers and Dariusz Kulus
Chrysanthemum (Chrysanthemum × morifolium (Ramat.) Hemsl.) holds a prominent position in the market of ornamental plants. To further advance chrysanthemum breeding efforts, the development of haploids may be useful. Therefore, the effect of various chemi...
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