Special Issue: Intelligent Agricultural Applications with Sensing and Vision System

The labor shortage and rising costs in agriculture have led to a bottleneck, prompting the emergence of smart agriculture as a solution. Sensor-based technologies play a pivotal role in this transformation. With rapid advancements in sensing and AI-based vision technologies, intelligent agricultural applications are increasingly being implemented, utilizing advanced sensor technologies to develop novel tools that reduce labor.

This Special Issue, Intelligent Agricultural Applications with Sensing and Vision System, aims to bring together recent research and developments concerning novel sensing and vision systems applied in agriculture. We welcome papers addressing sensing and vision systems for a wide range of agricultural tasks, including, but not limited to, recent research and developments in the following areas:

• Advanced imaging technology: hyper-spectral, multispectral, fluorescence, thermal, 3-dimension imaging technology;
• AI-driven phenotypic analysis: crop yield estimation, dynamic growth prediction, health status determination, microorganism and pest identification;
• High-throughput phenotyping;
• Airborne sensors (UAVs);
• AI cloud or edge computing application;
• Sensors for robotic applications in crop management;
• Sensors for positioning, navigation and obstacle detection.

👥 Guest Editors

• Prof. Dr. Chenglong Huang
  College of Engineering, Huazhong Agricultural University, Wuhan, China
  Interests: Intelligent agricultural vision systems, including X-ray-computed tomography imaging, 3D reconstruction based on robot-structured light, deep learning algorithms, cloud computing applications, edge computing applications.

• Dr. Shengyong Xu
  College of Engineering, Huazhong Agricultural University, Wuhan, China
  Interests: Plant phenomics technology, agricultural robots, AI visual inspection technology.

• Prof. Dr. Kang Yu
  TUM School of Life Sciences, Technical University of Munich, Munich, Germany
  Interests: Plant phenotyping, precision agriculture.

📅 Submission Deadline

15 November 2023 (closed)

For more information and submission guidelines, please visit the Special Issue webpage.