SoilIQ: Intelligent Soil Health Testing and Crop Suggestion Using IOT And Computer Vision

Abstract

The health of soil constitutes an important aspect of farming products because it directly affects the crop yield, resource use, and sustainability in the long-term. Nonetheless, traditional soil analysis. It is not often that methods are time- consuming and not labor-intensive. state that they tend to be professionally interpreted, which renders them less practical and applicable. inaccessible to farmers. It is a complete-integrated project. soil analysis system providing the real-time understanding of the most important parameters. like moisture content, PH level, and composition of nutrients, including NPK. Colorimetric analysis- detection of nutrients is carried out by connection to a camera module, and moisture is detected. capacitive sensing is used as well as pH is measured with calibrated. glass electrodes. This device is designed on a Raspberry Pi 3. processor, which is a local data collector and processer of the sensor data. then delivering the output to a web-based service. Informed Agri-decision can be undertaken because the gadget is able to eliminate. manual intervention and furnished instant, correct. reporting. It minimizes the use of conventional tests in labs. and gives farmers a small, data-driven device to support them. embrace precision farming. The system will also enlighten farmers. so as to have time to practice optimum irrigation and fertilization policies. that will prevent waste of resources and enhance farm produce. On the Crop recommendation is also a module of web interface. that indicates possible crops as far as the profile under analysis is concerned. Concisely, the innovation will enable more efficient soil diagnostics. increases sustainable agricultural activities, and leads to. By increasing more developed agricultural methods it can global food security. technology available to the consumer.