Smart Agriculture by Leveraging AI and IoT for Intelligent Insect Identification and Control

Agriculture is also a significant part of the economy as it forms the basis of the economic system for most developing nations. India is among. There are several major players in the global agricultural industry. Even though there are numerous advanced technologies used in agriculture, no efficient technology has been developed to manage the pestrelated problems. The use of pesticides to control pests in agriculture is an issue that affects countries across the globe. To address this issue, an AI-powered pest detection system has been developed. The aim of this model is to elaborate on. Using an artificial neural network, the acoustic approaches in pest detection are as effective as in classification. The system that we are proposing is a process for recognizing species and damaged leaves that are endangered in farming environments to provide immediate notifications to farmers and protect crops in fields through the integration of a cloud-based warning alert system. Using an Internet of Things (IoT) device with an embedded camera, this project chooses daily photos at random from the crop field and neighboring areas. After that, it will utilize computer vision algorithms and contemporary machine learning techniques to interpret those images. Additionally, it will notify the farmer by sending a message about the insect and damaged leaves it has spotted and recommends a course of action.