eng Enviro Research Publishers Current Agriculture Research Journal 2347-4688 2321-9971 2024-08-30 12 2 928 940 20738 article Meenakshi Thalor 1 Shahbaz Khan 1 Sampada Bhongale 1 Prayag Bhosale 1 Ankita Giri 1 Shravani Shewale 1 Department of Agroclimatology, Remote Sensing, and GIS, Savitribai Phule Pune University, Pune, India. Green Mapper revolutionizes environmental conservation efforts with its advanced software solution for efficient tree mapping and analysis. Leveraging the YOLOv5 machine learning algorithm, the platform enables precise identification and quantification of trees in aerial imagery, facilitating strategic resource allocation. Collaborative features foster partnerships with NGOs, promoting coordinated sustainable forest management. YOLOv5's exceptional object detection capabilities justify its selection, ensuring both speed and accuracy in tree detection. Green Mapper's integration of advanced technology and collaboration empowers stakeholders to make informed decisions for sustainable forest management, contributing significantly to environmental conservation efforts. https://www.agriculturejournal.org/volume12number2/green-mapper-an-ai-driven-initiative-for-aerial-tree-mapping-maintaining-environmental-balance/ Environmental conservation; Geographical Information Systems (GIS); Machine learning; Object detection; Tree mapping; YOLOv5