LiveSen-MAP: Real-Time Nutrient Sensing for Precision Agriculture
Overview
LiveSen-MAP is an EU-funded project aiming to revolutionize fertilizer application in agriculture. By combining innovative biosensor test strips with satellite-based remote sensing data, the project seeks to provide real-time, field-specific fertilizer recommendations, enhancing crop yields while minimizing environmental impact.
Objectives
- Develop advanced biosensors: Create test strips capable of accurately measuring nitrate levels in plant sap directly in the field.
- Integrate remote sensing data: Utilize satellite imagery to assess field variability and crop health indicators.
- Implement AI-driven models: Develop predictive algorithms that combine sensor and satellite data to generate precise fertilization recommendations.
- Promote sustainable agriculture: Reduce over-fertilization, decrease greenhouse gas emissions, and prevent nutrient runoff into water bodies.
Collaboration and Funding
- Lead Institution: Technical University of Munich (TUM)
- Funding: European Innovation Council (EIC) under Horizon Europe
- Project Duration: June 2023 – May 2026
- Collaborators: Interdisciplinary team including experts in precision agriculture, chemistry, computer science, and innovation management.
For more information, visit the LiveSen-MAP project page.
Prof. Dr. Kang Yu
Professor of Precision Agriculture
My research interests include precision crop farming, hyperspectral remote sensing, and AI in agriculture.
Dr. Dong Li
Research Scientist
My research interests include vegetation remote sensing and precision agriculture.
Xuefeng Xu
PhD student
My research interests include Ecological and Agricultural Remote sensing, specifically foocus on Vegetation Indices(VIs) and crop traits retrieval. As well I’m interested in grassland classification and deep learning techniques.
