AI tools for climate and agriculture
Short answer
AI tools for climate modelling, precision agriculture and environmental data at a glance – features and pricing.
Climate and agriculture AI analyses satellite imagery, sensor data and weather series to forecast yields, irrigation needs, disease pressure, emissions balances or extreme weather risk.
In farming the goal is precision – applying fertiliser, water and crop protection exactly where needed. That cuts cost and environmental impact at the same time.
In the climate domain, modelling and reporting dominate: sustainability disclosures, risk analysis and adaptation strategies.
All tools in this category (13)
Blue River See & SprayJohn Deere's precision-agriculture AI: recognizes weeds in real time and sprays herbicide only on affected plants.
PaidUnclear
Cervest / Mitiga SolutionsClimate risk platform for physical assets (factories, real estate, grids) with site-based risk scores for regulation (TCFD, EU Taxonomy).
PaidGDPR / EU
Climate TRACEGlobal AI emissions database: combines satellites, sensors, and ML to make greenhouse gas emissions of individual facilities visible worldwide.
FreeUnclear
ClimateAiClimate risk analytics for agriculture, food, and supply chains with site-level forecasts across weeks to years.
PaidUnclear
ClimateBERTOpen-source NLP models specifically fine-tuned on climate reports, sustainability prospectuses, and TCFD disclosures.
Open SourceUnclear
Jua.aiSwiss physical-world foundation model delivering ultra-high-resolution weather and energy forecasts via AI-based physics simulation.
PaidGDPR / EU
OverstorySatellite vegetation intelligence for grid operators: identifies trees threatening power lines to prevent wildfires and outages.
PaidGDPR / EU
PachamaSatellite and ML-based monitoring of forest climate projects for credible, verified carbon credits.
PaidUnclear
PictureThisPlant identification from a photo: the vision model matches more than 10,000 species, spots diseases and pests and gives concrete care advice.
FreemiumUnclear
Prospera (Valmont)AI plant vision for irrigation systems: continuously analyzes plant growth and optimizes irrigation and nutrient application.
PaidUnclear
SylveraIndependent rating agency for carbon credits: uses satellite data and AI to assess the actual climate impact of projects.
FreemiumGDPR / EU
TaranisDrone and satellite AI for row-crop farming: sub-mm imagery detects diseases, pests, and yield issues early.
PaidUnclear
xFarmSwiss farm management software with AI-based recommendations for crop rotation, nutrient application, and sustainability reporting.
FreemiumGDPR / EU
Frequently asked questions
How accurate are AI yield forecasts?
With good satellite, soil and weather data they reach useful accuracy across the season. Extreme events remain the largest source of uncertainty.
Is this worthwhile for smaller farms?
Increasingly yes, because many providers bill by area and satellite data is partly free. Free basic tiers make the entry easy.
Where does the data come from?
Mostly public earth observation programmes, weather services and on-farm sensors. The sources used are listed in the individual tool profiles.