Field Sensors
Digital dendrometers installed on representative trees capture continuous stem and fruit growth, shrinkage, and recovery cycles.
Connectivity & Cloud
LoRaWAN and edge intelligence ensure robust data transmission from remote orchards and forests to a scalable cloud platform.
Decision Engine
Algorithms transform raw growth curves into indicators of water stress, growth rates, biomass accumulation, and carbon increments.
Designed for Innovators in Agriculture and Climate
TIMOs, Forest Companies, Permanent Planting Crop producers, Government Agencies (Forest Service), NGOs
Trees Are the Most Precise Sensors You Already Own
Trees are constantly responding to water availability, temperature, and management decisions. Tiny changes in stem diameter and fruit growth reveal when a tree is thriving, stressed, or reallocating carbon.
Today, most decisions in agriculture and carbon markets still rely on indirect indicators: sporadic field visits, lagging production data, and static allometric equations.
SpeakingTrees connects directly to the physiology of trees to bring decisions into real time.
Listen our podcast
Decoding the Hidden Language of Forests with Dendrometers
The Technology
Digital dendrometers installed on representative trees capture continuous stem and fruit growth, shrinkage, and recovery cycles.
This system was designed to tackle the challenge of large-scale, real-time forest monitoring. At its core, we deployed a low-power, wide-area network (LPWAN) using LoRaWAN technology, connecting a network of sensor nodes across diverse types of forests.
Algorithms transform raw growth curves into indicators of water stress, growth rates, biomass accumulation, and carbon increments.
