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Agriculture Python Packages

Python packages with the GitHub topic agriculture. Sorted by monthly downloads, with stars and forks.
Rekin226
agronaut

An open-source AI agronomy agent that runs locally on your own machine or server, reaches you on Telegram and WhatsApp, and computes aquaponics system designs from a deterministic, source-cited engineering core instead of guessing them.

2K 4 14
montimaj
agribound

An AI-powered field boundary delineation toolkit combining satellite foundation models, embeddings, and global training data for accurate agricultural parcel/field boundary mapping.

2K 90 13
gabrielmahia
kilimo-mcp

MCP server for Kenya precision agriculture — crop calendar, fertilizer, pest alerts, KALRO varieties. 6 tools.

1K 0 0
rafatahmed
flahax

Choose fertilizer salts and grams per litre for a fixed crop formula.

1K 0 0
delsDin
kadipy

Une bibliothèque Python conçue pour les agronomes, chercheurs et développeurs travaillant sur les données agricoles au Bénin et en Afrique de l'Ouest.

980 5 4
juksentang
agri-jax

Differentiable, batch-parallel field-scale crop-soil models in JAX (CERES-Maize + RZWQM-style soil water/PET). pip install agrijax

740 2 0
dida-do
eurocropsml

EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.

678 31 3
reingart
pyafipws

Factura Electrónica AFIP y otros servicios web (proyecto software libre) — Interfases, tools and apps for Argentina's gov't. webservices (soap, com/dll simil-ocx, pdf, dbf, xml, json, etc.) #python

656 365 280
saswatsundar123
cropforge

CropForge is an open-source, code-first virtual farm runtime that enables agricultural researchers to define, execute, and visually analyse crop simulations entirely from Python code. It is distributed as a pip-installable package and runs completely on the researcher's local machine.

480 13 3
juksentang
agrijax

Differentiable, batch-parallel field-scale crop-soil models in JAX (CERES-Maize + RZWQM-style soil water/PET). pip install agrijax

476 2 0
AiAgentKarl
agriculture-mcp-server

MCP server for agriculture data — soil conditions, crop weather, climate history, global statistics, food products

415 1 0
open-turba
turba-models

Model package for loading pretrained soil fertility and fertilizer recommendation models for Morocco.

414 5 2
agralogics
agralogics

Hierarchical pest and disease modeling framework for AgStack (Linux Foundation). 13 models, 19 crops, 54 threats. Python wheel + FastAPI + MCP server.

407 1 1
Fields2Cover
fields2cover

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

372 909 206
brownag
soildb

Python client for USDA-NRCS Soil Data

365 8 1
epicpast
nsip-mcp-server

Python client for the NSIP (National Sheep Improvement Program) Search API - reverse-engineered from nsipsearch.nsip.org

358 1 1
gabrielmahia
africa-coord-bus

Coordination event bus connecting MCP servers for East Africa — drought alerts, health cascades, agricultural advisories. The missing layer between 31 isolated tools.

348 0 0
gmarupilla
terraflow-agro

Reproducible, uncertainty-aware geospatial suitability pipeline for agriculture + optional GeoAI engine (terraflow geoai {fields,landcover,canopy}) — Ordinary Kriging + LOOCV variogram, Monte-Carlo CIs, Sobol/Morris sensitivity, spatial block CV, deterministic run fingerprints

314 5 4
montimaj
pycropwat

A Python Package for Computing Effective Precipitation Using Google Earth Engine Climate Data.

287 8 1
cbsteh
pysawit

Oil Palm Growth and Yield Model

274 27 9
SERVIR
servir-aces

Agricultural Classification and Estimation Service

251 18 5
brightway-lca
bw-hestia-bridge

Consume the HESTIA API in Brightway

251 1 0
geonextgis
geeagri

Python tools for agricultural analysis powered by Google Earth Engine.

250 41 10
asgard-ai-platform
mcp-twfood

MCP Server for twfood.cc — 6 AI-callable tools for Taiwan agricultural wholesale market price data

223 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology