AI/ML Forest Species Identification via Remote Sensing

Python, Machine Learning (ML), Remote Sensing, Image Processing, Computer Vision, Deep Learning, YOLO · Remote Sensing + AI/ML Model for Identification of 10 Major NTFP Species in Jharkhand, India

We are looking for an experienced "Remote Sensing / Computer Vision / Geospatial AI developer" to develop or fine-tune an AI/ML model capable of identifying and mapping "10 major Non-Timber Forest Product (NTFP) tree species in Jharkhand, India" using remote sensing imagery.

Target Species

1. Sal 2. Mahua 3. Kusum 4. Tamarind 5. Kendu 6. Palash 7. Chironji 8. Amla 9. Harra 10. Bahera

Objective

The objective is to develop a reliable workflow that can identify these species from remote sensing data and ultimately generate a **species-wise tree inventory/map**, including tree locations and counts.

Scope of Work

We are open to either:

Developing a new model from scratch or Fine-tuning/adapting an appropriate open-source model such as DeepForest or other tree detection/segmentation and species-classification frameworks.

The expected workflow may include:

Remote Sensing Imagery → Individual Tree/Crown Detection → Feature Extraction → Species Classification → GIS Species Map & Tree Count

Potential data sources may include:

* High-resolution satellite imagery * Multispectral imagery * S