Grapes Disease Detection

Abstract

The Grapes Disease Detection system is an essential asset for farmers, presenting multiple possibilities that may aid in improved crop management. By utilizing a system that detects diseases early, farmers can respond immediately to mitigate spread, reducing crop loss and the economic impact that comes with despondent growers. By targeting specific diseases, farmers can also act quickly with treatment, avoid the unnecessary use of chemicals, and reduce damage to the environment when controlling disease outbreaks. Ultimately, farmers are able to increase crop yield, increase grape quality, and save money on a disease management system. In addition, there is added intelligence and information to be gained from the system on disease trends and making informed decisions in crop management, ultimately leading to labor savings and food safety. The two AI models X3ception and DenseNet from the project achieved 96% and 98% accuracy levels respectively in detecting diseases from the grape images. This technology is a potential solution to help farmers and professionals detect diseases early to help minimize loss and degradation while promising in enhancing the use of technology in agriculture.