Smart agricultural system for crop monitoring and soil analysis

Abstract

Agriculture is the base of the economy in Bangladesh, however, 90% of the farmers are not familiar with modern-technological tools. That is the reason why we see very-little usage of modern tools in farming in our country which limits crop production significantly. Hence to address this, a smart monitoring system is proposed to introduce farming robots to bring a strong revolution to the existing primitive systems. The proposed system will include a range of sensors, including cameras and probes, to detect ripe vegetables and harvest them, as well as analyze soil conditions and provide advice to farmers. The system will use image processing techniques and an NPK sensor. The primary objectives of the project are to reduce labor requirements and improve the efficiency of agricultural production. Advancements in technology will enable modern farms and agricultural businesses to utilize cutting-edge tools, robotic systems, and precision farming methods to become more successful, productive, safe, and environment friendly. Automated navigation and harvesting, crop growth monitoring, and crop disease detection can be achieved through the use of sensors, robotic arms, and machine learning algorithms, respectively. However, these advancements require sufficient data to train the machine learning models, making them a long-term goal for the future.