Explore river records and run reproducible water analyses in your browser. Open hydrology data, methods, and exports.
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Updated
Oct 21, 2026 - Python
Explore river records and run reproducible water analyses in your browser. Open hydrology data, methods, and exports.
R package for surface energy balance and crop coefficient evapotranspiration (ET) from satellite and thermal imagery: SEBAL, METRIC, SEBI, SSEB, SEBS and Two-Source (TSEB) models integrated with the FAO-56 water balance for single and dual crop coefficients (Kc).
FAO-56 evapotranspiration analysis for a pistachio orchard in Torbat-e Heydarieh, Razavi Khorasan, Iran. Implements the Penman-Monteith method with 10-minute weather data to calculate reference (ETo) and crop (ETc) evapotranspiration.
Projet de suivi des besoins en irrigation de l'agriculture céréalière au travers de données météorologiques, pédologiques et physiques.
COGNIFY: Rekayasa Intelligence Hub Pertanian Off-Grid Berbasis Multimodal AI OpenVINO guna Resiliensi Ekonomi Lahan Kritis di Indramayu
A sensor fleet that decides which plant to water — FAO-56 physics, five layers of validation, and a spec the code is audited against.
Calculadora de evapotranspiración y riego para cultivos de México — FAO-56 Penman-Monteith
An offline irrigation controller for smallholder farms.
JalDrishti (जलदृष्टि) is a climate-smart precision irrigation platform for Indian agriculture, combining FAO-56 ET modeling, SoilGrids, Open-Meteo, and multilingual AI to optimize irrigation, reduce water and energy waste, protect crops, and maximize farmer ROI.
☀️ Autonomous Solar-Agro Intelligence Platform — Synchronizing PM-KUSUM solar pumps, 10m Sentinel-2 satellite canopy monitoring, and FAO-56 hydrologic physics for ₹0 grid cost precision irrigation.
AI irrigation advisor that tells farmers the minimum water needed to keep yield stable, using FAO-56 Penman-Monteith math + free public weather/soil data.
Probabilistic urban agriculture site optimizer using FAO-56 Penman-Monteith evapotranspiration modeling and Monte Carlo simulation
The best-RMSE model is not the cheapest to run. Physics-first irrigation advisor for Dubai: FAO-56 evapotranspiration cross-validated against 30 years of NASA observations, a root-zone water balance, and RF/XGBoost/LSTM predictors scored on operating cost in dirhams rather than prediction error. Offline, 129 tests.
AI-Powered Smart Irrigation Platform for Central Asia & Aral Sea Basin | FAO-56 Penman-Monteith • Open-Meteo • Gemini AI • Solana Devnet
Sensor-free, crop-agnostic FAO-56 irrigation advisory system (olive validated; more crops on the roadmap)
🌱 Precision Agriculture Decision Support Platform: ML Crop Recommendation, Stoichiometric Fertilizer Dosing & FAO-56 Irrigation Planner built with Next.js 16
Environmental monitoring and irrigation intelligence for smallholder farms, fully offline: LoRaWAN telemetry simulation, a FAO-56 water balance that calibrates itself from the soil, and a deterministic advisor. A ground-up rebuild of my FIAP 2024 undergraduate thesis.
Pure Rust precision agriculture — FAO-56 evapotranspiration, Richards equation soil physics, irrigation scheduling. GPU-accelerated. AGPL-3.0
Home Assistant integration that estimates garden watering needs using evapotranspiration (FAO-56) and Open-Meteo data.
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