Egypt’s agricultural sector generates most of the country’s revenue. Most farmers produce a variety of crops, including rice, but the most important crop is cotton, known as White Gold. Cotton production is sensitive, with high yields leading to significant profits and low yields leading to significant losses. IoT technology is a major step towards agricultural modernization, enabling field monitoring and pest identification. This paper proposes an IoT framework to detect flying insects and cotton leaf diseases. The system will automatically Detect Flying insects in cotton plants and automatically respond to them with the appropriate method. Also, detects plant diseases in cotton plants and automatically responds to the plant with the appropriate method Measure the humidity of the soil, and depending on the measurements the system will see if it needs water or not. Overall, Our project is highly motivated, addresses a market need, and has the potential to yield substantial financial, social, and environmental advantages. This is a significant step towards agricultural modernization in Egypt.

The primary objective of the system is to address the diverse challenges faced by farmers and clients in managing their plants and mitigating crop loss. By thoroughly analyzing plant-related issues, the system employs tailored solutions to enhance crop yield.

The key functionalities include Detection and Control of Flying Insects in Cotton Plants:

The system identifies flying insects in cotton plants and responds automatically using an appropriate method, such as controlling the pesticide pump. This ensures timely and targeted intervention to protect the crops.

Soil Humidity Measurement and Automated Watering: The system measures soil humidity, and based on the readings, it autonomously determines whether the plants require watering. It can automatically control the water pump, optimizing water usage and promoting efficient crop growth.

Detection and Control of Disease in Cotton Plants

The system identifies diseases in cotton plants and responds automatically with an appropriate method, such as controlling the fungicide spray. This proactive approach minimizes the impact of diseases on crop health.

In summary, the proposed system aims to offer a holistic solution to the challenges encountered by farmers and clients in plant and crop management. By integrating state-of-the-art IoT technology, real-time monitoring, and data-driven decision-making, it seeks to improve both the quantity and quality of crops, contributing to overall agricultural sustainability.

The system’s scope is to comprehensively address challenges in plant management, prioritizing the reduction of crop loss and the optimization of yield for farmers and clients. Through detailed analysis, it offers tailored solutions, including the automatic detection and control of flying insects, treatment of plant diseases, and autonomous soil humidity measurement for optimized watering. By integrating IoT technology, real-time monitoring, and data-driven decision-making, the system aims to provide a holistic solution, ultimately improving both the quantity and quality of crops, contributing to overall agricultural sustainability.