Sensors and Actuators for Crops and Livestock Farming
A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Sensors Technology and Precision Agriculture".
Deadline for manuscript submissions: closed (30 August 2024) | Viewed by 15472
Special Issue Editors
Interests: sensors; microfluidics; microelectronics; MEMS; diagnostics; plant pathology; linear actuators; Ag robotics
Interests: sheep genetics; cattle genetics; population genetics; genetic improvement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors and actuators have played an important role in the agricultural revolution of monitoring crops and livestock in an automated and high throughput manner. For example, novel sensors are being developed for irrigation management, nutrient and pesticide application, early disease detection, and environmental monitoring (soil properties, rainfall, and temperature). Similarly, novel actuators are being developed for the agricultural automation of fruit picking, variable sprayers, fertilizer ejectors, ventilation systems, and climate control. The challenge lies in combining a multitude of sensors and actuators into integrated systems to gather real-time farm data and extract critical parameters related to the growth and health of crops and livestock. These data collection tools and techniques are critical for the subsequent construction of reliable expert systems and decision support with the aim of assisting farmers. As such, this Special Issue invites submissions cantered around novel sensors and actuators for agriculture (both crops and livestock farming) and exploring data collection and data management pipelines to effectively capture the intra- and intervariability in farm data with acceptable quality and resolution.
Dr. Santosh Pandey
Dr. Tiago Paim
Guest Editors
Manuscript Submission Information
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Keywords
- sensors
- environment sensors
- remote sensing
- wireless sensors
- multispectral imaging
- noninvasive imaging of crops and livestock
- camera systems
- unmanned aerial vehicles
- agricultural drones
- laser scanning thermography
- computer vision actuators
- controllers and autonomous robots
- seeding
- picking and harvesting
- fertilizer ejectors
- spraying
- weed control
- irrigation systems
- milking robots
- feedstuff monitoring
- growth and productivity monitoring
- disease detection
- nutrition and management
- information management
- decision support tools
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