Drone- and AI-assisted livestock monitoring
|Coordinator||RISE Research Institutes of Sweden AB - ACREO, Kista|
|Funding from Vinnova||SEK 500 000|
|Project duration||November 2018 - September 2019|
|Venture||Banbrytande idéer inom industriell utveckling|
|Call||Banbrytande idéer inom industriell utveckling - 2018|
Purpose and goal
Fully automated farming can eliminate hunger. Automatic monitoring of the livestock is the first step towards reducing the operational costs of the farm and improving productivity since fewer resources will be required for taking care of the same number of animals. One farm can thus maintain a larger population of livestock with the same resources. This project is a feasibility study and field tests of components for automated drone- and AI-assisted livestock monitoring.
Expected results and effects
The project is a step towards fully-automated farming which will contribute to the UN Agenda 2030 goals: 1. No poverty (more affordable food), 2. Zero hunger (double the agricultural productivity of small-scale food producers, increased food supply), 5. Gender equality (easy use of enabling technology making farming equally accessible), 8. Decent work and economic growth (higher economic productivity through technological upgrading), 12. Sustainable management and efficient use of natural resources (by maximizing farming output).
Planned approach and implementation
The present project will take many images over the actual livestock at a farm. The images will be further processed and used for training and testing the performance of the AI algorithm for the automated recognition of livestock on the ground. The project will then make a conclusion on the algorithm performance, define "weak links" in the pipeline, recommend improvement measures and eventually outline a drone & AI supervision system for farming purposes.