DSS for ecosystem and land-use trade-offs, combining ecosystem modeling, economic valuation, and optimization across multi-scale agricultural production systems.
Tech: DAYCENT, MATLAB, spreadsheet (Excel), Python
Water-energy-food nexus DSS for investment planning—optimizes water infrastructure, agriculture, and energy systems under climate and economic scenarios.
Tech: Python, optimization models, hydrological simulation
AI-powered pest and disease prediction system with 95% accuracy, working offline with weather and soil data, multilingual chatbot, and community portal.
Tech: Python, Django, MobileNetV2, HTML/Tailwind, APIs, Offline Web
Web-based advisory tool offering personalized crop management, pest control, and irrigation scheduling using machine learning.
Tech: Python, Jupyter Notebook, Machine Learning (Random Forest)
Decision support and food supply management system built with Laravel for regional agricultural offices.
Tech: PHP, Laravel
Comprehensive DSS combining crop recommendation, fertilizer suggestion, and plant disease prediction via data analytics and ML.
Tech: Python, Web (unspecified), Machine Learning
Smart dashboard analyzing climate and soil impacts on 42 crops, offering insights using AgriData, Power Larc NASA and MapSpam sources.
Tech: Data aggregation, Python (unspecified), Dashboard, GIS
Deep learning system combining soil image classification and nutrient profiling for real-time crop recommendations via Streamlit app.
Tech: Python, Streamlit, CNNs (ResNet18, EfficientNet, ViT), XGBoost, LightGBM
IoT & AI power dashboard for real-time crop management, leveraging environmental sensors, backend APIs and ML analytics.
Tech: Arduino, Python, Web (frontend/backend), ML
Open-source plant disease forecasting API and dashboard using weather, historical disease data, enabling proactive disease risk prediction.
Tech: Shiny, R (backend), API, Dashboard
A comprehensive crop simulation model supporting over 45 crops, simulating growth, development, and yield based on soil-plant-atmosphere interactions.
Tech: Fortran, C, C++, database management
Cover crop species selector to help farmers choose appropriate cover crops based on field specifics and goals using UI and expert ratings.
Tech: React, Node.js, PostgreSQL, Airtable
Knowledge-based DSS for companion planting using an ontology to guide beneficial plant pairings for pest control and productivity.
Tech: Java, Scala, JavaScript, OWL, Docker
Agriculture ontology-based DSS for plant disease and pest identification and control using a trait ontology (PDP-O).
Tech: Ontology (PDP-O), semantic web technologies
Embedded DSS for smart irrigation using online learning, Arduino and Raspberry Pi for control and sensing in agricultural settings.
Tech: C++ (Arduino), Python, Raspbian (Linux), IoT
AI-driven agricultural platform featuring chatbot help, smart crop recommendations, and automated monitoring for farmers.
Tech: JavaScript (frontend), Python (backend)
Smart agriculture platform providing real-time crop recommendations, market price forecasting, chat, and mobile interface for farmers.
Tech: AI, ML, Web (unspecified)
Curated collection of open-source tools for precision agriculture, including crop monitoring, phenotyping, and geospatial DSS tools.
Tech: Python, GIS, Docker, JavaScript
Open-source CNC precision farming robot for automated planting, watering, and weeding with a web interface and crop database.
Tech: Raspberry Pi, Arduino, Python, Web (React?)
Real-time climate risk monitoring platform integrating geospatial climate and socioeconomic data, used for agricultural vulnerability and planning.
Tech: TypeScript, Python, GIS, Web