fao-56

Open-source Python toolkit for water data, hydrology, and agricultural water management — 29 unified collectors (USGS, UK EA, Hub'Eau, GRDC, BOM, FAO…), Bulletin 17C flood frequency, FAO-56 ET₀, an MCP server, and an AI methodology recommender.

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.

Calculadora de evapotranspiración y riego para cultivos de México — FAO-56 Penman-Monteith

COGNIFY: Rekayasa Intelligence Hub Pertanian Off-Grid Berbasis Multimodal AI OpenVINO guna Resiliensi Ekonomi Lahan Kritis di Indramayu

Probabilistic urban agriculture site optimizer using FAO-56 Penman-Monteith evapotranspiration modeling and Monte Carlo simulation

An offline irrigation controller for smallholder farms.

Sensor-free, crop-agnostic FAO-56 irrigation advisory system (olive validated; more crops on the roadmap)

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.

A sensor fleet that decides which plant to water — FAO-56 physics, five layers of validation, and a spec the code is audited against.

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.

Portable C11 computation kernel for reference evapotranspiration (FAO-56 Penman–Monteith), targeting embedded edge deployment

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.

Home Assistant integration that estimates garden watering needs using evapotranspiration (FAO-56) and Open-Meteo data.