R&D
We are blessed with a rich network of Civil and Environmental and Computational scientists all over the world ensuring best available techniques and best environmental solutions to our clients.
Our core scientific team consists of three Doctorates in the Environmental Engineering field from IITs and our technical advisors are world known research professionals in their respective field of expertise.
TREE is the only Environmental Research and Consultancy company associated with internationally recognized IIT Bombay-Monash Research Academy, to carry out research and experiments in a state of the art lab facilities
Deep Learning-Based Tree Detection from UAV Imagery: Improving Resource Management and Environmental Monitoring
The problem addressed in this project is the detection of trees in real-time using an unmanned aerial vehicle (UAV) equipped with a camera. The proposed solution is to build a deep learning model to accurately identify trees from aerial imagery captured by the UAV camera. This model will enable faster and more efficient tree detection, improving resource management and potentially reducing the cost of manual inspection methods. The ultimate goal is to develop a robust and reliable system for tree detection that can be used in a variety of applications, such as forestry management and environmental monitoring. This particular project is intended to build a real time dynamic model to assess the carbon stored in various tree species in one go with respect to respective species.
Status: Active and CS intern is working
Open for M.Tech Interns (Full Time)
Contact: career@treegreensolutions.com
Carbon Sequestration Estimation Using Photogrammetry: A Techno-Economical Approach for Carbon Offsetting
Carbon exists in various forms and combining with oxygen forms carbon dioxide. The concentration of carbon dioxide in the atmosphere is at a record high due to rapid urbanization and industrialization. Carbon capture and storage can be done naturally or artificially, with forests being the primary sinks of carbon. The research focuses on estimating the amount of carbon captured by plants using a novel, quick, and cost-effective method called photogrammetry, which uses high-resolution images captured by drones. The results showed that photogrammetry is >98% efficient method for determining the carbon sequestering capacity of plants.
Status: Active (Civil and CS interns are working)
Open for M.Tech Interns (Full Time)
Contact: career@treegreensolutions.com
Real Time Leakage Detection and Water Distribution.
Water scarcity remains a major issue in many regions, with over 2 billion people lacking access to safe drinking water. Additionally, a significant amount of water is lost due to leakage in water distribution systems. This not only wastes valuable water resources but also results in significant economic losses for water utilities. Therefore, there is a need for efficient and effective solutions to detect and mitigate water leakage in distribution systems. This project aims to develop a solution for detecting water leakage in a water distribution system. The proposed solution involves the installation of pressure sensors at various nodes in the system to continuously monitor the flow and detect any pressure drop between two sensors or nodes. This pressure drop serves as an indicator for water leakage in the system. By using this method, real-time detection of leakage can be achieved, leading to timely intervention and repair, reducing water loss and conserving water resources
Status: Open for new candidate
Open for M.Tech Interns: Computer Science Engineering/ Electronics Engineering/ Civil and Environmental Engineering. Full Time.
Contact: career@treegreensolutions.com
