Research & Projects

Engineered time-series Machine Learning models (LSTM, Random Forest, XGBoost) coupled with multi-spectral Sentinel-2 and MODIS satellite data to predict rain-fed maize yield across Tanzania prior to harvest, enabling proactive food security planning.

Designed a Nationwide Automatic Irrigation Scheduling System using Geospatial AI (GeoAI), combining IoT soil moisture telemetry nodes, local weather APIs, and satellite evapotranspiration data to optimize water delivery across Tanzanian irrigation schemes.

Co-founded the Youth Empowerment through Establishment of Social Innovation (YEESI) Lab with University of Georgia partners. Establishes a problem-centered innovation ecosystem training young engineers in computer vision, robotics, and machine learning through hackathons.

Founded EPALab (Electronics & Precision Agriculture Lab) at SUA. Leads research in autonomous spraying rovers, drone multi-spectral remote sensing, *Akilimatik* LLM AI Farmers Advisor, *Mwagilia* mobile irrigation app, and IoT telemetry servers.

Developing predictive machine learning models leveraging Amazon Sustainability Data Initiative (ASDI) satellite environmental features to predict vector-borne infectious disease outbreaks ahead of time, empowering rapid public health intervention.

Built high-resolution open-access datasets linking climate variables, water quality sensor metrics, and epidemiological data across Tanzanian regions for benchmarking machine learning disease forecasting models.

Developing portable, low-cost spectroscopic hardware embedded with Machine Learning calibration algorithms to deliver instant in-field soil fertility (NPK, pH) diagnostics to smallholder farmers.

Engineered an autonomous 4-wheel center-articulated rover equipped with 3D RGB-D depth vision, pneumatic suction end-effector, and Modified Pure Pursuit control algorithm for obstacle-free cotton harvesting.

Applying a Social Semiotic approach to revolutionize access to university resources via an interactive ICT software system for indoor/outdoor campus mapping and resource discovery.

Developed a digital sharing-economy software platform enabling smallholder farmers to efficiently share, schedule, and hire tractors and agro-mechanization equipment in Tanzania.

Enhancing farm-scale crop yield prediction using Machine Learning models and Internet of Agro-Things (IoAT) telemetry sensor networks across agricultural fields in Tanzania.

Variable-rate Application Alternatives for Small-scale Farmers (VAASF). Engineered smart nozzle hardware, low-cost microcontrollers, and computer vision targeted weed spraying systems.

Architected and deployed the internal Government e-Payment Gateway (GePG) payment system & Finance Module for Sokoine University of Agriculture (SUA), processing over 10 Billion TZS in student fees annually in real time.

Implemented Smart IoT Traps for fruit fly pest surveillance in avocado orchards in collaboration with University of Georgia (UGA) and funded by FAO. Built real-time telemetry sensor databases and cloud reporting platforms.

Engineered an interactive WebGIS food security platform using MapServer, OpenLayers, and spatial databases for the 'Innovating Strategies to Safeguard Food Security' project in Tanzania.

Developed the CASIS Weighted-Sum Matching Algorithm to automatically match and assign specific agricultural extension advisors to remote farmers based on geographic proximity and crop specialization.

Integrated the Farmers Agroadvice Information System (m-FAIS) with Linux KANNEL SMS gateways, delivering automated pest diagnosis and agronomic advice to feature-phone users without internet access.

Integrated the m-IMAS market access system with SMS nodes via KANNEL, allowing smallholder farmers to query and receive live crop market prices and buyer contacts via text messages.

Wrote low-level C++ embedded firmware for Arduino microcontrollers to read soil moisture sensor arrays and automatically actuate water solenoid valves and irrigation pumps.

Designed and developed the web-based Monitoring & Evaluation system for the EPINAV program at SUA, building automated Excel report engines and research budget tracking modules.

Developed the STARS Aggregate Database System for the AgriSense project at SUA, integrating GeoODK spatial data platforms with automated data aggregation engines.

Engineered the College of Business Education (CBE) Mobile Payment System connecting directly to 3 major national banks (CRDB, NMB, NBC) via secure transactional web APIs.

Developed the Tobacco Purchase Tracking and Evaluation System for Tanzania Leaf Tobacco Company (TLTC) in C#.NET and MSSQL, tracking procurement from farm registration to grade evaluation.

Integrated the SUASIS database with mobile money providers (M-Pesa, TigoPesa, Airtel Money) via Web Services APIs (*150*03#) for real-time mobile fee payment verification.

Developed a secure, high-concurrency Results Release Information System to safely disseminate national examination results to students, parents, and administrative staff.

Directing technical execution of the $2.0M World Bank Higher Education for Economic Transformation (HEET) project component at SUA, overseeing digital infrastructure upgrades, network security, and enterprise software platforms.

Designed and deployed Akilimatik, an LLM-powered conversational AI agricultural assistant delivering real-time pest diagnosis, crop treatment guidance, and precision farming advice directly to smallholders.

Engineered Mwagilia, a mobile app providing real-time soil moisture analytics, evapotranspiration-based irrigation scheduling, and fertigation advisory for smallholder horticultural farmers.

Advanced spatial machine learning algorithms, satellite multispectral imagery analytics, and precision farming decision support architectures at NCSU and the University of Georgia.

Development of precision irrigation control system hardware, sensor networks, and soil moisture telemetry for horticultural food crop farmers in Northern Tanzania.