Green House Based Crop Growth and Diseases Monitoring System

In contemporary agriculture, leveraging advanced technologies has become crucial for maximizing greenhouse productivity and mitigating pest-related issues. Traditional monitoring systems often fall short due to their manual nature and delayed responsiveness to environmental fluctuations. This paper introduces a smart greenhouse monitoring and control system that integrates the Internet of Things (IoT) with artificial intelligence (AI) to deliver a robust solution. Utilizing an array of sensors, the system continuously tracks vital parameters such as temperature, humidity, air composition, and light levels. A central microcontroller interprets these readings and activates corresponding actuators to maintain favorable growing conditions. Additionally, a pest detection unit powered by a convolutional neural network (CNN) enables early identification of infestations by analyzing plant images. This combination of real-time environmental regulation and AI-based pest monitoring presents a comprehensive and efficient framework for modern greenhouse management, enhancing both sustainability and productivity while minimizing manual labor.