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Enrique Bonet and María Teresa Yubero
In Spain, irrigated agriculture is the most water-intensive sector, consuming around of 80% of water resources. Moreover, irrigation water distribution systems are the infrastructure by which one-third of water resource losses take place. Monitoring and ...
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Mohamed Tawfik, Jaime Hoogesteger, Moustafa Moussa and Petra Hellegers
Egypt?s quota of Nile River water has been constant since the 1950s, despite the continual agricultural land expansion. To facilitate land reclamation, Egypt has reallocated Nile water from downstream users, mostly smallholders in the ?old lands? of the ...
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Akhmad Adi Sulianto, Ilham Putra Adiyaksa, Yusuf Wibisono, Elena Khan, Aleksei Ivanov, Aleksandr Drannikov, Kadir Ozaltin and Antonio Di Martino
Here, we describe and assess a method for reusing specific food waste to make hydrogels, which can be employed to improve the efficacy of agrochemicals and water. It represents an approach for tackling current challenges, such as food waste, water manage...
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Qiufang Dai, Ziwei Chen, Guanfa Wu, Zhen Li, Shilei Lv and Weicheng Huang
Agricultural environments are usually characterized by height differences and tree shading, which pose challenges for communication in smart agriculture. This study focuses on optimizing the packet loss rate and power consumption of LoRa?s practical comm...
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Leonardo Verdi, Anna Dalla Marta, Simone Orlandini, Anita Maienza, Silvia Baronti and Francesco Primo Vaccari
The contribution of animal waste storage on GHG emissions and climate change is a serious issue for agriculture. The carbon emissions that are generated from barns represent a relevant source of emissions that negatively affect the environmental performa...
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Xiaoqing Cao, Lu Li, Fengwei Zhang, Fangyuan Zhang, Xuefeng Song, Wuyun Zhao and Fei Dai
Livestock dung, discarded crop straws, and residual plastic film are the primary agricultural non-point sources of pollution. For livestock dung and discarded crop straw, the general treatment focuses on compost, animal fodder, industrial raw material, a...
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Ana Corceiro, Nuno Pereira, Khadijeh Alibabaei and Pedro D. Gaspar
The global population?s rapid growth necessitates a 70% increase in agricultural production, posing challenges exacerbated by weed infestation and herbicide drawbacks. To address this, machine learning (ML) models, particularly convolutional neural netwo...
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Lukas Simon Kriem, Carsten Pietzka, Marc Beckett, Luisa Gärtling and Benjamin Wriedt
Technological advancement in recent decades has allowed for crop cultivation in soilless controlled environments, known as hydroponics, and this is being employed in an increasing number of factories worldwide. With continued local and regional disruptio...
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E. M. B. M. Karunathilake, Anh Tuan Le, Seong Heo, Yong Suk Chung and Sheikh Mansoor
Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop ...
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