An Evaluation of the State of Health of Strawberry Plants for Organic Farming Through the Utilization of Unmanned Aerial Vehicles

Agriculture is the primary sector that contributes to the Indian economy. Over 64 percent of the population makes use of it, and it makes a sizeable contribution to the gross domestic product. The detection of diseases before they have an impact on the quantity and quality of agricultural products is an essential component of disease prevention, which is a time-consuming and financially burdensome process. The use of software is suggested in this research as a means of automatically identifying and classifying plant leaf diseases through the utilisation of unmanned aerial vegetation vehicles. For the purpose of preventing monetary losses, we are going to devise a method for determining the ailments that are the most prevalent. In the course of this investigation, unmanned aerial vehicles (UAVs) will be fitted with a system that is capable of distinguishing between strawberry plants that are healthy and those that are unwell, as well as identifying the most likely ailment that the strawberry plants are suffering from. Through the utilisation of this recommended method, farmers are able to detect and treat diseased strawberry plants in an effective manner. This proposed model provides an approach that is not only simple to use but also dependable, trustworthy, and cost-effective in terms of recognising strawberry diseases.