Capture. Identify. Treat.
Artificial intelligence-based solution that enables farmers to identify and treat plant diseases and pests.
The imbalance between agricultural productivity and the growing global food demand has dramatically worsened over recent decades. There are approximately one billion people in the world experiencing chronic food insecurity, and the numbers are expected to increase. Whilst, there is a shortage of agricultural-extension experts who can aid farmers in overcoming problems that affect agricultural production.
Pathogens are directly responsible for yield losses of ~30% of the global agricultural productivity. Farmers experience an annual loss of $300 billion due to a lack of pest and disease diagnosis, containment, and treatment. Many plant diseases have a fairly well-established control protocol. However, failure to control diseases occurs due to misdiagnoses, late-stage diagnoses, and lack of knowledge and access to solutions.
Due to the multifaceted nature of these macro level problems, Saillog provides an opportunity for sustainable agriculture, offers economic benefits to small and large scale farmers, and reduces the risk of food insecurity; thereby, supplying a socially impactful solution.
Saillog leverages and deploys artificial intelligence algorithms on mobile devices, and other monitoring hardware, providing users with one complete solution to the disease and pests management problem. The computer vision algorithm is capable of reaching a highly accurate diagnosis through examining imagery of suspected pathologies.
Saillog's artificial intelligence engine is proficient in classifying hundreds of diseases and deficiencies; it is becoming more advanced as data is aggregated through usage of the system. Our vision is to become the leading AI solution in the disease control domain.