Published Paper Details:

The proliferation of Internet of goods (IoT) technology has opened up innovative avenues for enhancing agricultural practices. In this paper, we propose an IoT- enabled factory monitoring system exercising camera technology to give real time monitoring and analysis of plant health parameters. These cameras capture high resolution images of shops at regular intervals. Image processing algorithms are employed to anatomize these images and extract applicable information analogous as plant growth rate, flake achromatize, pest infestation, and complaint symptoms. likewise, the system integrates with pall- predicated platforms for data storage and analysis, allowing farmers to pierce factory health criteria ever via web interfaces. Machine knowledge ways are abused to continuously meliorate the delicacy of factory health assessments over time, enabling visionary decision- timber and precise resource allocation. The proposed IoT factory health monitoring system offers several advantages over traditional styles, including reduced labor costs, early discovery of plant stressors, and optimized resource operation. also, it facilitates data driven perceptivity that empower farmers to make informed opinions to meliorate crop yield and quality. The system is designed to be stoner-friendly, allowing individualities to cover their shops ever through a web interface. exercising Internet of goods (IoT) principles. The captured visual data is analyzed to descry anomalies, conditions, or stress factors in advancement of smart husbandry and sustainable factory care practices. prolusion husbandry's purpose is the lineage and nurturing of shops, brutes, and other organisms, analogous as fungi, in order to produce biofuel, food, fiber, medicinal shops, in addition to other goods that profit and support living beasties. The secret to" betterment in husbandry" is truly vital, demand for a developing country.