Electronic Trap for Field Detection of Fall Armyworm (Spodoptera Frugiperda) in Corn

Plagues and disease management in agriculture are essential to increase crop yields, decrease production costs and contribute to environmental sustainability. New technologies based on Digital Agriculture (DA) allows for contributing to integrated pest management. The Internet of Things (IoT) is one of the current options for pest management in agriculture. This work shows an intelligent platform development for insect counting and mapping in an agricultural crop based on IoT, wireless sensor networks, geographic information system and artificial intelligence. The paper focuses on the system architecture design, development of image processing algorithms for detecting and counting pest insects in an agricultural crop and its implementation in a field. The intelligent platform was developed to study the behavior of the Fall Armyworm (Spodoptera Frugiperda) in corn crops. The monitoring and visualization of the information and predictions of the system will be carried out at a base station and through a smartphone, tablet or computer with internet access.