🌱 Research Collaboration Opportunity | AI for Agriculture, Soil Science & Climate-Resilient Farming I work p…

By Arjan Ghosh

🌱 Research Collaboration Opportunity | AI for Agriculture, Soil Science & Climate-Resilient Farming

I work primarily in Machine Learning for Environmental & Agricultural Systems, focusing on areas such as:

🛰️ Soil moisture prediction using remote sensing & IoT data

🤖 Hybrid Stacking Ensemble Learning (ML + DL fusion)

🧠 Explainable AI (SHAP) for interpretable agri-decision systems

💧 Precision irrigation & sustainable water resource management

🌾 Climate-resilient agriculture & food security modeling

📊 Time-series forecasting for environmental variables

🚀 I'm currently working on an Explainable AI-driven Hybrid Stacking framework for one-hour-ahead soil moisture prediction, combining Decision Tree, Random Forest, XGBoost, SVR, and LSTM models — achieving R² ≈ 0.99 with SHAP-based interpretability and time-series cross-validation.

I'm looking to expand this work and am seeking motivated researchers, graduate students, and early-career collaborators interested in:

🔹 Multi-region/transfer learning for soil-climate modeling

🔹 IoT sensor fusion with satellite data (SMAP, Sentinel)

🔹 Edge-deployed ML for real-time irrigation systems

🔹 Joint publications in agri-tech / environmental AI in IEEE conference/ journals

📩 If precision agriculture, environmental ML, or explainable AI excites you — let's connect and build something impactful together.