The editors of Plant Diseases and Protection invite researchers to take a critical look at the past decades of sensor-guided plant pathology in precision agriculture by submitting an original article, review, meta-analysis or perspectives paper.
For this Special Issue of Digital Plant Pathology for Precision Agriculture, scientists are encouraged to submit their most recent research on disease identification and quantification from leaf- to field scale, sensing plant-pathogen interactions, sensor based plant protection, and on highly sophisticated sensor data analysis methods.
The editors of the journal explicitly invite manuscripts in the four following areas of research:
1. Sensor-Plant-Pathogen Interactions
– Disease indicators and detection thresholds for specific sensors in Digital Plant Pathology.
– Sensor and spectral databases for plant disease identification in the field.
– Evaluated systems for Digital Plant Pathology. Validation across and within pathosystems.
2. Machine Learning in Digital Plant Pathology
– New methods for image analysis.
– Interpretable Machine Learning: linking biological processes with algorithmic features.
– In-field data processing workflows for real-time applications and decision making.
3. Robots, UAVs and Satellites for pest and pathogen detection and management
– Sensor integration in multi-sensor approaches and processing workflows.
– Multiscale sensing in plant pathology.
– Good practices and manuals for sensor applications in greenhouses and in the field. Applied precision agriculture.
4. Digital Plant Pathology for Integrated Disease Management
– Adoption rates, economic and environmental evaluation of applied Digital Plant Pathology.
- Shaping the Digital Plant Pathology infrastructures enable sensor technology.
– Opinion pieces on perspectives and outlooks in Digital Plant Pathology.