YOLO (You Only Look Once) is an algorithm that uses Neural Networks to provide real-time object detection in images or video frames. This algorithm is popular because of its speed and accuracy.

This idea is going to use YOLOv8 which is the latest model of YOLO for detecting crop diseases. Our appliction can provide users with a powerful tool to monitor and manage their crops, helping to increase efficiency, reduce waste, and improve the overall yield and quality of their products. Also, it can monitor crops and detect changes in plant growth, health, and quality. Lastly, our app will provide treatment when the users request for it as it will have a marketplace.

For example, YOLO can detect the presence of weeds or disease in crops, allowing users to take action before the problem spreads.  Al Batinah North , crops such as dates, citrus fruits, and vegetables are grown. Common plant diseases in Al Batinah North include powdery mildew, downy mildew, black rot, and citrus canker. These diseases can cause significant damage to crops and reduce yields. Therefore, the traditional way for detecting crop diseases in Oman which typically involves visual inspection of the plants by farmers or agricultural experts will be limited and not as fast as YOLO. By using computer vision algorithms like YOLO, farmers and researchers can detect these diseases early on and take appropriate measures to control or treat them. This can help prevent the spread of the disease and minimize crop losses. Moreover, they can reduce the use of pesticides and other harmful chemicals. The Treatment of the detected diseases using YOLO will be provided in our created Website.

Crop diseases can cause significant economic losses for farmers, especially in developing countries where agriculture is a major source of income.Globally, losses due to crop diseases can range from 5% to 80% of the crop yield, depending on the crop and disease severity. Al Batinah North , crop diseases have caused significant losses in crops such as date palms, bananas, and citrus fruits. One of the most damaging crop diseases in  is the Fusarium wilt disease, which affects banana plants and can cause up to 80% yield losses. Moreover, The palm weevil (Rhynchophorus ferrugineus) is a serious pest of date palms in Oman and throughout the Middle East. According to a study published in the journal Insects in 2018, the economic impact of palm weevil damage in Oman was estimated to be around US$82 million annually. This figure includes both direct losses due to reduced yield and quality of dates, as well as indirect losses from the cost of control measures such as insecticides and pheromone traps. The study also estimated that the cost of controlling palm weevil infestations in Oman was approximately US$3.5 million per year. This includes the cost of insecticides, pheromone traps, and other control measures.

Implementing our idea for crop disease detection in Al Batinah North Governorate, aligns with the objectives of Oman Vision 2040. This long-term vision aims to enhance food security by investing in agricultural lands. By utilizing advanced technology like YOLO, users in Al Batinah North Governorate can improve agricultural practices, mitigate crop diseases, and contribute to the overall goals of Oman Vision 2040. This initiative supports the National Program for Investment and Export Development, which prioritizes food security and sustainable resource management.

1- Identifying local crop diseases. 2- Monitoring disease outbreaks. 3- Reducing dependence on pesticides. 4- Improving crop yields by identifying and addressing crop diseases early.

1- Early Detection. 2- Accuracy. 3- Speed of Detection. 4- Reduced use of Pesticides. 5- Improved Crop Quality. 6- Improved Food Security.