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Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ...
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Guangfei Wei, Huifang Chen, En Lin, Xuhua Hu, Hengwang Xie, Yuanlai Cui and Yufeng Luo
The accurate identification of the water layer condition of paddy fields is a prerequisite for precise water management of paddy fields, which is important for the water-saving irrigation of rice. Until now, the study of unmanned aerial vehicle (UAV) rem...
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Ioanna Kakabouki, Panteleimon Stavropoulos, Ioannis Roussis, Antonios Mavroeidis and Dimitrios Bilalis
Throughout the world, salinity is a major environmental issue that limits agricultural productivity, particularly in arid and semi-arid regions. In addition, climate change is the most important reason for the salinization of agricultural soils in the wo...
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Abdelmalek Temnani, Pablo Berríos, Susana Zapata-García, Pedro J. Espinosa and Alejandro Pérez-Pastor
Irrigated agriculture is facing a serious problem of water scarcity, which could be mitigated by optimizing the application of regulated deficit irrigation (RDI) strategies. For this reason, the aim of our study was to determine irrigation thresholds bas...
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Daniel Bañón, María Fernanda Ortuño, María Jesús Sánchez-Blanco, Beatriz Lorente Pagán and Sebastián Bañón
Plant growth regulators (PGRs) are commonly used in horticulture to improve crop quality, save water, and enhance plant resilience to stress. In this study, we examined the effects of two PGRs, paclobutrazol (PBZ) and mepiquat chloride (MC), on the growt...
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