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Yaoyu Li, Tengteng Qu, Yuzhi Wang, Qixin Zhao, Shujie Jia, Zhe Yin, Zhaodong Guo, Guofang Wang, Fuzhong Li and Wuping Zhang
Soil moisture critically influences crop growth, especially in dryland environments. Precise agricultural management requires real-time monitoring of stratified soil moisture and assessment of crops? daily water needs. We aim to provide low-cost, high-th...
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Bo Wu, Yuan Wu, Ran Dong, Kiminori Sato, Soichiro Ikuno, Shoji Nishimura and Qun Jin
In the mountainous areas of Japan, the weeds on the slopes of terraced rice paddies still need to be cut by the elderly manually. Therefore, more attention should be given to maintain proper postures while performing mowing actions (especially the pre-cu...
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Sylwester Borowski, Miroslaw Szubartowski, Klaudiusz Migawa, Agnieszka Soltysiak, Andrzej Neubauer, L?ubomír Hujo and Jozef Nosian
These mathematical models can be used to build decision-support software for agricultural enterprises. This helps you decide on minimal and normal repairs during urgent field work.
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Stefano Salata and Taygun Uzelli
It is well acknowledged that sustainable soil management can play a crucial role in reducing the vulnerability of urban areas, but are soil characteristics properly evaluated in the decision-making process concerning urbanization? Within this work, we co...
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Daniels Kotovs and Aleksejs Zacepins
This research work presents a developed geographic information system-based interactive map application to support beekeeping activities. The interactive map includes various features such as flowering calendar, weather information, and information about...
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Martin Kuradusenge, Eric Hitimana, Damien Hanyurwimfura, Placide Rukundo, Kambombo Mtonga, Angelique Mukasine, Claudette Uwitonze, Jackson Ngabonziza and Angelique Uwamahoro
Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities. This is so because extreme weather conditi...
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Marco Javier Suarez Baron, Angie Lizeth Gomez and Jorge Enrique Espindola Diaz
This article presents the application of supervised learning and image classification for the early detection of late blight disease in potato using convolutional neural network and support vector machine SVM. The study was realized in the Boyacá departm...
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Benedito Souza Filho, Reinaldo Paul Pérez Machado, Kumiko Murasugi and Ulisses Denache Vieira Souza
The Lençóis Maranhenses region, located in the state of Maranhão in northeastern Brazil, constitutes an area that includes a national park and presents extreme physical, geographic and climatic contrasts in addition to economic diversity and emerging tou...
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Jae Sung Kim and Isaya Kisekka
To ensure agricultural sustainability and desirable environmental outcomes, stakeholders need systems-based model-driven decision support tools. The objective of this study was to develop a global scale web-based geospatial crop modeling application call...
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Elena Belcore, Stefano Angeli, Elisabetta Colucci, Maria Angela Musci and Irene Aicardi
In the past decades, technology-based agriculture, also known as Precision Agriculture (PA) or smart farming, has grown, developing new technologies and innovative tools to manage data for the whole agricultural processes. In this framework, geographic i...
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