Application of Sensors Technologies in Agricultural Engineering
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 45
Special Issue Editors
Interests: agriculture; sensor technologies; wine sector; design of wineries with a focus on energy efficiency and sensor integration; design of machinery and equipment for the agroforestry sector; application of wearable sensors for risk assessment in the agricultural and forestry sectors
Interests: development of electronic and computer technologies for agricultural applications; development of sensors and models for the livestock industry; automation of agricultural, agri-food and livestock sectors; agricultural machineries
Special Issue Information
Dear Colleagues,
The use of sensors in agricultural engineering is one of the most fascinating innovations in the modernization of agricultural practices. These technological devices, capable of collecting and analyzing data in real time, are revolutionizing the management of crops, water, soil, and overall environmental resources, enhancing the sustainability and efficiency of agriculture. In the realm of agricultural engineering, sensors enable a deeper understanding and more accurate control over the various factors that influence crop growth and resource management. The precision and reliability of the information gathered by sensors provide the opportunity to optimize agricultural practices, reduce waste, improve both the quantity and quality of production, and enhance workplace safety. This Special Issue aims to highlight the transformative impact of sensor technology in agricultural engineering, providing insights into current applications and future directions. In particular, this Special Issue focuses on the following main topics:
- Sensor technologies for water management in agriculture.
- Sensors for soil and crop health management.
- Sensors to improve the quantity and quality of agricultural productions.
- Sensor and precision agriculture.
- Sensors, big data analysis, and AI to sustain agricultural decision making.
- Sensors to increase the automation of agricultural operations.
- Sensors for improving work processes and worker well-being, health, and safety in agricultural sectors.
Prof. Dr. Sirio Cividino
Prof. Dr. Mauro Zaninelli
Guest Editors
Manuscript Submission Information
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Keywords
- sensor technologies
- quantity and quality of agri-food production
- precision agriculture
- automation
- safety
- big data and AI for agricultural decision making
