Automation and Remote Control in Irrigation Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 477
Special Issue Editors
Interests: building materials; structures; development of building materials based on plant residue; automation and remote control in irrigation systems
Special Issues, Collections and Topics in MDPI journals
Interests: electronic nose; sensors for agrifood applications, disease detection using electronic nose, sensor platform
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Different applications of technologies related to automation and remote control (electronics, automation, sensors, robotics, etc.) have been increasing spectacularly in the last decade. In the current world scenario, the demand for natural resources for agricultural uses is increasing. The use of automation and remote control in water resources is aimed at ensuring the sustainability of a natural resource as valuable as water. Information and communication technologies (ICT) and related technologies are appropriate tools for this. All the productive sectors and, particularly, the agricultural sector face a productive transformation based on the use of these technologies. Specifically, the use of ICT and related technologies can be included in the global concept of precision agriculture. This Special Issue combines these previous concepts and proposes these three generic topics to develop:
- Software for water resource management in agriculture.
- New systems, sensors and equipment for water resource management in agriculture.
- Digital photography and computer vision for water resource management in agriculture.
Prof. Dr. Manuel Ferrández-Villena
Prof. Dr. Antonio Ruiz-Canales
Guest Editors
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Keywords
- agromotics
- water efficiency in agriculture
- water resource management
- software
- digitalization
- automation
- sensors
- digital photography
- computer vision
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