AgEngineering 🌾 | Computer Vision 👁️ | Spatial Data & GIS 🌍
I build deep-learning frameworks, digital twins, and self-supervised architectures for agronomic and environmental applications, combining GIS, remote sensing, and machine learning with rigorously validated, reproducible research code.
|
10,190 Daisy soil-plant-atmosphere simulations (10 soils, 17 experiments) mapping non-linear soil-atmosphere feedback loops between precision irrigation triggers, evaporation-control mulching, drainage, yield, and nitrate leaching. Three novel contributions: a soil-independent irrigation trigger law (root-zone depletion collapses suction-based triggers from 10 soils onto single curves), a closed water-balance account of where evaporation saved by mulching actually goes, and a regime map of when the dominant water-loss pathway switches from evaporation to drainage.
Irrigation trigger law widget (SWAFL explorer, scene N1): drag the trigger on the gauge and every soil shows its own suction trigger for the same root-zone depletion. Click the picture to open it live. Software created from this research (SWAFL). The programs below are the software built from the 10,190 Daisy simulations, the 134 numbered equations and the three manuscripts of this repository. They compute and show the trigger law, the mulch water account and the regime map from this work, and they can be used without installing anything. Download: SWAFL.exe for Windows (no installation) · SWAFL_Desktop.zip (source) · all releases |
|
Operationalizing GIS & ML Across Cropping Systems Maize fertility zoning, vineyard pest monitoring, and grape ripening prediction across three linked Portuguese field practicals. 
|
|
Geometry-Agnostic Contrastive Learning (GACL) A hypergraph-transformer architecture for cross-pathology, cross-condition contrastive transfer learning in agronomic imaging. 
|
|
Real-Time RGB Vegetation Indexing (UAV/Handheld) Real-time RGB proxy vegetation indexing and texture analysis pipeline for UAV and handheld crop imagery, with an integrated GIS workbench. 
|
|
A modular Python pipeline with a Tkinter desktop GUI for reference/crop evapotranspiration, soil-water balance, irrigation scheduling, and a 4-step crop-growth simulation (canopy, transpiration, biomass, yield) for five crops grown around Zaria, Nigeria. Renamed and extended from the Zaria Crop ET and Irrigation DSS pipeline above. 
Field-stage simulation with per-stage water accounting. |
|
GIS Monitoring of Vineyard Ripening (Brix) NDVI and logarithmic regression harvest-date forecasting (R-squared = 0.9784) for grape ripening at a 6-hectare UTAD vineyard, Quinta de Nossa Senhora de Lurdes, Vila Real, Portugal. 
|
|
Terrain characterisation, mating-disruption costing, and delta-trap monitoring for Lobesia botrana at a 42.97-hectare vineyard estate in the Douro Demarcated Region, Portugal. 
|
|
Digital Twin for Gully Biocontrol Bayesian-grounded digital twin evaluating Morning Glory (Ipomoea spp.) as a gully-erosion biocontrol measure, validated against real field-sensor data. 
|
|
Hybrid CNN-BiLSTM-Attention for Sediment Transport A from-scratch NumPy deep-learning framework for sediment-transport prediction in an agricultural gully system. 
|
|
Geospatial Data Analysis Course Package, vector/raster GIS, Sentinel-1/2 remote sensing, and classification (Jupyter notebooks + Google Earth Engine) 
|
|
Multitask Singularity Regression Kriging (MSRK) GeoAI framework combining a multiscale local singularity index, multitask Random Forest trend modelling, and residual kriging for precision-agriculture mapping of soil NPK, crop stress, and yield. 
|
|
STADOS: Spectral-Temporal Adaptive Dark Object Subtraction A five-stage radiometric harmonization framework that generalizes classical dark-object subtraction into a multi-object, reliability-weighted, iteratively self-consistent correction for multi-temporal Sentinel-2 NDVI monitoring, applied to corn parcels near Coimbra, Portugal. 
|
|
Zaria Crop ET and Irrigation DSS A modular Python pipeline with a Tkinter desktop GUI for reference/crop evapotranspiration, soil-water balance, irrigation scheduling, and full farm-report generation for five crops grown around Zaria, Nigeria. 
Crop growth-stage simulation with per-stage water accounting. |
|
GIS-Based Livestock Slurry Suitability A multi-criteria GIS overlay combined with regression kriging and deep-learning suitability surfaces for livestock slurry application siting, case study in Tudela, Navarre, Spain. 
|
|
Integrated Dairy Processing Decision-Support Model Compares several prediction models, then uses linear programming and repeated random-scenario simulation to recommend which dairy product to make each day under uncertain milk quality and market prices. 
|
Python · GIS · Remote Sensing · Deep Learning · Computer Vision ·
Geostatistics · Google Earth Engine · Sentinel-1/2 · Precision Agriculture ·
Bayesian Methods · Decision Support Systems