Fafaza, is a precision crop spraying technology that performs plant recognition and individual treatment in real time. It has been developed by innovation specialist Cambridge Consultants.
Fafaza is designed to spot broadleaved weeds amongst grass and to treat individual target leaves with herbicide. The system identifies, classifies and applies treatment in real time, while moving at tractor speed.
Precision agriculture means harnessing technology to optimize production. It relies on precise granular data at the individual plant level, on the scale of large industrial farms, supporting everything from weed identification to crop health and yield estimation.
Fafaza is an example of bringing Artificial Intelligence (AI) to the edge of the network, using low-cost, low-power devices to perform complex machine learning tasks.
This understanding can then inform real-time actions, for example the application of herbicide to an individual weed. This is the challenge that Fafaza addresses: deploying AI at the edge, on the back of a moving tractor and without the need for connectivity.
AI at the edge will enable AI to solve many of today’s real-world challenges, out in the field.
The Cambridge Consultants team chose this tough ‘green on green’ challenge to demonstrate the potential of state-of-the-art machine vision and AI.
Niall Mottram, Head of Industrial and Energy at Cambridge Consultants, commented:
“I’m really excited by the innovations that moving AI processing to the edge will bring in precision agriculture. Connectivity is generally poor in rural environments and the ability to run complex machine learning based applications on a tractor implement opens up many new opportunities to collect, process and act on data in real time. Fafaza demonstrates how AI at the edge approaches can become practical, cost effective and deployable today.”