Implementing a CNN and Raspberry Pi system to safeguard crops against animal threats

Abstract

With the use of publicly accessible hardware and firmware, we developed a prototype of an automated smart field monitoring and protection system to help farmers prevent several factors that usually lead to a decrease in crop output. It is usually difficult to keep an eye on the weather and environmental conditions around the clock. To overcome this, we have devised a crop field project that uses the internet of things (IoT), an Arduino, and sensors that measure important parameters throughout the day, such as temperature, moisture, and humidity. One further usage of IoT is the transmission of sensor-measured parameters. With the help of the criteria that have been identified, we may spray pesticides to detect and stop agricultural yield loss.