AI-Based Sensors and Sensing Systems for Smart Agriculture
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Smart Agriculture".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 64971
Special Issue Editor
Interests: precision agriculture; artificial intelligence; sensor development; machine vision/image processing; GNSS/GIS; variable rate technology; yield mapping; machine systems design; instrumentation; remote sensing; NIR spectroscopy; farm automation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart agriculture has been widely used for profitable and sustainable crop and animal production. One of the most important aspects of smart agriculture is to detect the status and properties of soil, crop, and livestock for implementing proper and timely management practices.
Numerous sensors and sensing systems have played a major role in smart agriculture, for example, GNSS receivers for positioning, various imaging systems for crop yield and phenotyping, IoT devices for soil moisture and pH, soil electrical conductivity sensors, optical sensors for measuring soil and crop reflectance, pressure and flow sensors for variable rate application, LiDAR for canopy volume and autonomous navigation, weather stations, and wireless sensor network.
Recently, artificial intelligence has rapidly been adopted for many smart agricultural applications such as yield prediction, disease and pest detection, spot sprayers for weeds, remote sensing of crop quality, phenotyping, and genotyping. AI technologies help analyze big data generated from crop and animal production, make useful inferences, and provide valuable decision support to farmers.
This Special Issue aims to showcase excellent implementation of AI-based sensors and sensing systems for smart agricultural applications and to provide opportunities for researchers to publish their work related to the topic. Articles that address any sensors and sensing systems implemented with AI and applied to smart crop and animal production are welcomed.
This Special Issue seeks to amass original research articles and reviews. Research areas may include (but not limited to) the following topics:
- Crop yield estimation and prediction;
- Detection of nutrient status, water stress, diseases, insect damages;
- Smart irrigation;
- Autonomous navigation;
- Precision planting;
- Weed management;
- Phenotyping and genotyping;
- Postharvest quality evaluation;
- Machine vision applications;
- Remote sensing applications;
- Robotic operations;
- Animal health monitoring and welfare;
- Automated milking and feeding;
- Manure management;
- Predictive crop and animal data analytics.
I look forward to receiving your contributions.
Prof. Dr. Wonsuk (Daniel) Lee
Guest Editor
Manuscript Submission Information
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Keywords
- Animal welfare
- Crop quality assessment
- Decision support system
- Drones
- IoT
- Harvesting
- Phenotyping
- Robots
- Wireless sensor network
- Yield prediction
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