Remote Sensing-Driven 3D Crop Trait Retrieval for Precise Nutritional Status and Pest–Disease Diagnosis
A Special Issue of Agriculture (ISSN 2077-0472) belonging to the section "Artificial Intelligence and Digital Agriculture".
Deadline for manuscript submissions: closed (30 June 2026) | Viewed by 274
Editor
Interests: artificial intelligence in agriculture; remote sensing; UAV; crop trait retrieval; precision agriculture; deep learning for crop monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing perception and monitoring of 3D crop traits can break through the limitation of traditional two-dimensional remote sensing, which can only observe the crop canopy surface. It enables "perspective" observation of 3D structure and internal functions of crops, providing an unprecedented decision-making basis for precision agriculture. This not only enables precise diagnosis of hidden nutritional stress in crops and early detection of diseases and pests but also helps to select ideal plant types for high yield and predict yields. It is a key technology for ensuring food security and improving resource utilization efficiency.
This Special Issue, “Remote Sensing-Driven 3D Crop Trait Retrieval for Precise Nutritional Status and Pest–Disease Diagnosis”, aims to highlight research and innovations supporting intelligent and precise crop growth management. The scope covers 3D remote sensing, crop trait retrieval, nutritional and pest–disease management, AI diagnosis, and UAV images. We especially welcome cutting-edge studies integrating multi-modal sensing, deep learning, and digital twin modeling. Submissions may include original research, reviews, methodological advances, and case studies demonstrating interdisciplinary solutions and new directions for precise nutritional status and pest–disease diagnosis.
Prof. Dr. Xingang Xu
Guest Editor
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Keywords
- remote sensing
- precision agriculture
- 3D crop trait
- artificial intelligence
- UAV
- crop nutritional diagnosis
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