Targeted Spraying Solutions

Increase crop yields with advanced patented AI machine vision technology for precise and efficient spraying.

Detecting and locating spray targets from data

Targeted fungicide application involves the use of artificial intelligence (AI) technologies to help farmers and other agricultural professionals more efficiently and effectively manage fungal diseases in crops. The AI systems are typically designed to analyze data from a variety of sources, including boom-mounted cameras, satellite or drone imagery, weather data, and soil analysis, in order to identify areas where fungal diseases are most likely to occur and to develop strategies for controlling them.

Advantages of targeted spraying

One of the key advantages of targeted fungicide applications is that it allows farmers to reduce their use of fungicides and other chemical treatments, which can be expensive and harmful to the environment. By using AI to precisely target fungal infections, farmers can apply treatments only where they are needed, reducing waste and minimizing the risk of unintended consequences.

There are several approaches to targeted fungicide applications, including image-based detection systems that use machine vision algorithms to identify fungal infections from images of crops, and predictive machine learning models that use weather and soil data to predict the likelihood of fungal outbreaks. These systems can help farmers make more informed decisions about when and where to apply fungicides, reducing the risk of crop damage and improving yields.

Integrating machine vision and learning