Applications of Sensors in Precision Farming
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 3699
Special Issue Editors
Interests: robotics vision (for aerial, ground, and underwater autonomous systems); artificial intelligence; intelligent mechatronic systems; remote sensing; precision farming
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; mobile robotics (UAV, UGV, USV); remote sensing; hyperspectral image analysis; precision farming; geographical information systems (GIS); artificial intelligence; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advanced sensor technologies and infrastructures play an important role in the increasingly emerging sector of precision agriculture, where the main objective is to optimize production and reduce production costs, in particular. For example, sensors could be used to monitor nutrient stress, water stress, soil fertility, etc.
Today, precision agriculture relies on the acquisition of data from heterogenous sources, such as satellites, aerial (manned/unmanned) vehicles, tractors and, of course, advanced sensors installed on the ground or on plants. In the latter cases, Internet of Things (IoT) plays a key role considering that, for large fields, the deployment of low-cost sensors could increase the coverage and knowledge of the field with “cheap” infrastructure.
In addition, the large amount of data over several seasons requires the interaction of computer scientists with agronomists, farmers, and operators who must work together to optimize operations.
This Special Issue aims to capture the latest applications in precision farming, with a focus on solutions based on new sensor technologies and infrastructures.
We invite submissions addressing applications in precision farming scenarios that are based on cutting-edge technologies and new-generation sensors deployed on the ground or onboard robotic/tractor platforms.
Areas of interest include, but are not limited to, the following themes:
Applications:
- Nutrient stress assessment;
- Waster stress assessment;
- Soil fertility assessment;
- Crop and weed detection and identification;
- Microorganism and pest detection;
- Fruit quality determination;
- Livestock air quality monitoring;
- Livestock slurry management;
- Recommendation/prescription maps;
- Planning of operations;
- Yield estimation.
Cutting-edge technologies for precision farming:
- Artificial intelligence techniques;
- Deep learning from sensor data;
- Multi-sensor robotic platforms;
- Intelligent sensing technologies;
- Advanced sensor technologies and infrastructures;
- Hyperspectral and multispectral sensing;
- 3D and thermal cameras;
- IoT and distributed sensors.
Prof. Primo Zingaretti
Prof. Adriano Mancini
Guest Editors
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