SKAi is a retrainable smart camera solution for agriculture. Detection and management of weeds in crops has been challenging for those hoping to use precision farming to guide their spray applications. By using artificial intelligence, detection and targeted spot spraying of individual weed species is now a real, viable option. Layers of digital data are transformed in our cloud-based platform (KORE) providing information at plant scale, generating retrainable artificial intelligence models and the ability to share with smart sprayer systems. SKAi is poised to revolutionise farming practices, vastly reduce agri-chemical usage, increase efficiencies, reduce cost, and possesses huge environmental benefits.
Working in unison and integrating with existing GPS and sprayer systems, SKAI can be trained to recognise and map any target species for individual treatment, as opposed to blanket spraying across whole fields.
To be successful has involved developing a product with the end user in mind, treating the weed burden the agricultural industry faces and offering a solution with clear environmental benefits. The use of artificial intelligence in an agriculture situation has meant the system has to be hardened, ready for the user and harsh environmental challenges. Since this is a vision artificial intelligence system, it has been important to obtain wide and diverse datasets showing different weed species, at the correct treatment growth stage and in various worldwide locations.
Globally 80-95% of pesticides applied do not reach their target, because they are sprayed or spread across entire agricultural fields. SKAi field trials have shown a 77% saving in chemical use compared to blanket treatment. The system is poised to revolutionise farming practices, vastly reduce agri-chemical usage (up to 90%), increase efficiencies, reduce costly inputs, and possesses huge environmental benefits.