Agrieye is an AI technology for land farming that uses remote sensing and soil analyses.
Agrieye combines technologies of remote sensing and soil analyses to help increase efficiency to land farmers. The multi-spectral 5 band camera is used for precision and accurate measurement for agriculture. The Unmanned Aerial Vehicle (UAV) is used for quick scanning, which monitors up to 2000 hectares per day with a high ground resolution of 5 sm per pixel. The company is developing a platform where members of the public can access maps, data storage and access via a multi layer GIS cloud platform that does not require any specific software for user access.
The company has stated that they aim to make the entire system at the cost of 1 USD per hectare annually and below 400 USD for the hardware unit.
Goal 12: Responsible consumption and production
Small and medium farm-owners worldwide
List type of drone (Fixed wind, quad copter, other)
Vertical, runway, catapult, hand launched, other
List the navigation system (GPS, GLONAS, Galileo, BeiDou, other)
Max flight time, coverage area, etc
If yes, specify the type of sensors included and available for the platform
Geolocation, Land Survey, Sensor readings, Image based data, OtherDisplay order
List the drone tracking and management software specificationsDisplay order
Objective of the drone platform [eAgriculture, Land survey, Disaster response, Impact analysis, Wildlife tracking, other]Display order
Users can contact the manufacturer at firstname.lastname@example.org
This product was designed to be used by small and medium farmers with the goal of reducing the cost of the high tech device and making farming more efficient.
Research was conducted by Carnfield and G’s Growers. Further contract research and consultancy was commissioned by G’s to determine key performance indicators for lettuce. It was determined that remote sensing data collected by Agrieye can be used to extract information such as plant counts, sizing, and crop growth and development.
There are no known safety hazards related to this product
Okayasu, T., Yoshida, H., Nugroho, A. P., Mitsuoka, M. and Inoue, E., 2012, Feasibility Study on Informatization Agricultural Supporting System and Evaluation of Its Validity, Research Gate, pp. 267295397.
The product was evaluated for its ability to extract information about growing conditions, including plant counts and sizing.
In context photographs (0)
You can use the form below to contribute a photo of this product.
In context files & documents (0)
Feedback from users, customers & distributors
Please let us know your experience in using this product through comments below.