Special Issue: Remote Sensing for Crop Nutrients and Related Traits

Understanding and monitoring crop nutrient status is vital for precision agriculture and sustainable farming practices. This special issue in MDPI’s Remote Sensing journal focuses on the latest advancements in remote sensing technologies for assessing crop nutrients and related traits.

📌 Topics of Interest

• Remote Sensing Platforms: UAVs, satellites, and ground-based sensors.
• Imaging Methods: multispectral, hyperspectral, thermal, fluorescence, and LiDAR data for nutrient monitoring.
• Data Analysis Techniques: vegetation indices, image analysis, radiative transfer modeling, machine learning, and deep learning.
• Crop Traits Assessment: crop nitrogen, biomass, leaf pigments, leaf area index, crop water stress, and spectra-based nutrient assessment.

👥 Guest Editors

• Prof. Dr. Fei Li
  College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot, China
  Interests: Crop monitoring, hyperspectral remote sensing, spectra-based nutrient management

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

📅 Submission Deadline

31 August 2024 (closed)

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