Make data-driven growing decisions.
Save time and money.

MetWatch brings weather data, disease models and crop insights together on one simple platform trusted by New Zealand growers.

What our customers say

A powerful digital weather platform for horticulture

Everything you need in one place

Local weather Data & Forecasts

Local weather data from 200+ stations across New Zealand. 10-day forecasts for anywhere.

Pest & Disease Models

A range of pest & disease models are available.

Chill Units

Track accumulated chill hours to optimise dormancy breaking and predict bloom timing.

Evapotranspiration & Soil moisture

Track evapotranspiration and soil moisture levels to understand crop stress and environmental conditions.

Growing Degree Days

Track crop development stages and predict harvest timing with accumulated heat units.

Email Reports

Receive regular, automated insights straight to your inbox for easy crop management.

Data Exporter

Quickly download your data for offline analysis or reporting.

API Connection

Seamlessly connect MetWatch data with your own systems or third-party tools for automated workflows.

Weather station network

Access a network of scientific & research-grade weather stations located in key growing areas

We collect data from more than 100 scientific-grade stations across New Zealand’s key growing regions. Orchards, farms, vineyards, and research sites all feed into one reliable system.

We also use data from grower-owned stations and other sources to give you a complete picture of local microclimates.

Connect your weather station hardware

• Harvest Weather Stations
• Campbell Scientific Weather Stations
• Metris Weather Nodes
• Hilltop weather system
• Ricado industrial monitoring systems

Other data integrations

• Property ID systems - Integrate industry property and block naming systems such as Apple RPINs
• Residue testing data - Integrate with AsureQuality & Hill Labs data
• Irrigation data feeds - Integrate irrigation and recommendation services
• Risk models - Understand potential crop disease risks with a range of models and indicators