SeeTree provides tree-level (per-tree) intelligent analytics for agricultural operations, positioned to help large agricultural enterprises optimize operations and improve ROI with AI crop intelligence. Its official slogan is "Predict. Protect. Profit.", emphasizing the ability to integrate multi-source data from satellite to soil.
Main products and capabilities
- Yield prediction: officially described as its number one product, providing pre-season, ultra-high-accuracy yield predictions, covering block, farm, and company levels.
- Aerial survey: provides full-coverage aerial surveys that can count every tree, map its precise location, assess a health score, and measure geometric parameters, used to understand the true state of the farm.
- Mobile-first workflow management: combines AI-assisted decision-making, alerts, and real-time field intelligence.
Data processing workflow
- Upload historical yield data and farm boundaries.
- The engine processes weekly satellite, drone, weather, and field data.
- Receive accurate yield predictions and actionable intelligence.
- Make better decisions at every stage from planting to harvest.
Crops covered The company states that it currently covers more than 8 crops and can onboard new crops within weeks. These include high-value crops: citrus, avocado, hazelnut; forestry and rubber categories: eucalyptus, timber, rubber; oil and tropical crops: oil palm, date palm, coconut; as well as sugarcane, coffee, and cocoa.
Use cases Aimed at the world's leading agricultural enterprises, it has been validated at scale in the Americas, Africa, Asia-Pacific, and the Middle East. It is suitable for agricultural operators facing challenges such as rising input costs, narrowing profits, climate volatility, and market uncertainty, who need data to support decisions from planting and management to harvest.
How to use and limitations The company offers a 2-week free trial, no commitment required, and states that yield predictions can be obtained within 2 weeks. Information on specific pricing, deployment methods, integration interfaces, and similar details is not yet available.
