Farmbox + TerrAvion

TerrAvion + Farmbox

Farmbox is the complete farm management solution right out of the box. Farmbox helps you and your team to control your operations from planting to harvesting. Their solutions and their service go hand in hand with your productivity. Your growth is their growth.

About Farmbox

Farmbox is a product of Checkplant, a company that has been developing technologies for agricultural management for 13 years.

Simple and reliable system for monitoring your crops. Understand how pests, diseases and weeds are behaving throughout your fields.

 Farmbox is one of Checkplant’s newest products that started with a strong focus on identifying and georeferencing the first occurrences of insect pests in the crop and measures the densities of the infestations with greater accuracy before expanding into a whole farm management system.

The Farmbox app offers advanced tools and features designed to help you precisely track your inventory. You’ll always know how much you spent throughout the entire season.

Features

Plan according to the history of each field and the inputs to be used. Have track input prices to buy better, and know in real time how much you are spending.

Track rainfall and navigate weather patterns to find the best window for planting.

    

Build quick yet accurate field prescriptions, set timing of sprays and address issues while staying under budget.

      

TerrAvion aerial imagery

Request a demo to see TerrAvion's aerial images in action.

See how it works

We deliver a range of images that help you farm better.

Interested in integrating
TerrAvion image data

 with your precision

 agronomy

 solution?

We’d love to talk to you about creating an integrated solution for our joint customers. TerrAvion prides itself on having an open API and remains committed to working with partners to develop better precision agriculture tools. Display processed maps inside your application, or pull raw data from us to create your novel indices.

 

TerrAvion Pansharpened Thermal

Learn how to successfully implement an imagery program