EnviroSentinel uses artificial intelligence to forecast outbreak risk in eucalyptus plantations, so your team inspects where it matters, before damage shows.
The red gum lerp psyllid multiplies fast and hides under a protective shell. By the time defoliation and sooty mold are visible, wood growth has already taken a hit. Manual monitoring is costly, slow, and late.
up to 30%
loss in wood volume productivity in infested stands.
Source: Embrapa
~50%
of pest occurrences in Brazilian eucalyptus in 2024, excluding leaf-cutter ants.
Source: PROTEF/IPEF
37–45 days
is the pest's life cycle: a full generation can emerge between two inspection rounds.
Source: scientific literature
Weather data, stand-level information, and the field samples your team already collects.
Our models combine these signals with scientific knowledge of the pest to estimate outbreak risk.
Stand-level risk 7 to 30 days in advance, with guidance on where to act first.
Our models draw on years of research into the bioecology of the red gum lerp psyllid, led by leading forestry research institutions.
We combine that knowledge with real operational data to deliver reliable forecasts — and we keep improving our models.
Grounded in the scientific literature on the pest and its host.
Powered by weather and field data from your operation.
Forecasts that get sharper every season.
See each stand's risk on a heat map and spot hotspots before they spread.
Alerts ranked by risk level, so you can plan inspections and interventions ahead of time.
Ask in plain language — “why did stand 12 move to high risk?” — and get the explanation.
Protect your forest's mean annual increment (MAI). Projected payback within 12 months, priced per actively monitored hectare.
Get ahead of the first dry-season outbreak. Direct crews and biological control releases to the stands that need them most.
Less preventive insecticide use and data-driven integrated pest management (IPM).
Technology that serves the people who care for forests — with scientific rigor and boots on the ground.
Every forecast is grounded in pest biology and validated research. We never claim what the data can't support.
The best management happens before damage occurs. We give teams the time to act calmly and precisely.
Less precautionary insecticide, more room for biological control and data-driven integrated management.
We build alongside forestry engineers and respect the people who know each stand. AI recommends; your team decides.
Yes. Climate and genetic material vary from region to region, so the model is tuned to your operation before it issues alerts.
No. The platform works with data your operation already has, plus available weather sources.
Your team is certainly capable. The difference is focus: a specialized model improves with data from many regions and operations, and regional calibration demands ongoing R&D. With EnviroSentinel, your team stays focused on forest operations.
Each client's data is kept isolated on Microsoft Azure cloud infrastructure and handled in compliance with Brazil's LGPD.
Tell us a bit about your operation. Our team will follow up to understand your challenges and show how EnviroSentinel can help.
[contato@envirosentinel.com.br]