Apply machine learning and image processing to detect plant diseases

There are a number of issues that farmers are currently facing, including those related to climate change and the production of crops. One problem is that farmers may not be aware of diseases that can affect their plants, leading to poor growth. The Internet of Things (IoT) can help address this issue by connecting physical objects, such as sensors and actuators, to the internet. This allows for better collaboration and monitoring of tasks, as well as improved visibility into the status and growth of plants. IoT devices can be placed on farm fields to detect diseases in plants and alert farmers to any issues. These devices can also provide information about the climate and offer suggestions for addressing problems. A wireless sensor network (WSN) can be used to monitor plants for diseases and gather data about the environment. An automatic learning decision support system can be implemented to manage the disease detection process and provide reliable results. This innovative approach can help farmers make informed decisions about their crops and improve the overall efficiency of their operations This paper highlights the importance of using technology in agriculture to improve efficiency and outcomes. By implementing IoT solutions, farmers can better anticipate and prepare for changes in the climate and monitor the health and growth of their crops. This allows for more informed decision making and can ultimately lead to increased productivity and success in the field.