Survey on Plant Health Monitoring System using AI

Pavan; Shashidhar S P; Pallavi H S

doi:10.71097/IJSAT.v16.i1.1757

Survey on Plant Health Monitoring System using AI

Author(s)	Pavan, Shashidhar S P, Pallavi H S
Country	India
Abstract	The proliferation of Internet of effects (IoT) technology has opened up innovative avenues for enhancing agrarian practices. In this paper, we propose an IoT- enabled plant monitoring system exercising camera technology to give real time monitoring and analysis of factory health parameters. These cameras capture high resolution images of shops at regular intervals. Image processing algorithms are employed to dissect these images and excerpt applicable information similar as factory growth rate, splint achromatism, pest infestation, and complaint symptoms. likewise, the system integrates with pall-grounded platforms for data storehouse and analysis, allowing growers to pierce plant health criteria ever via web interfaces. Machine literacy ways are abused to continuously ameliorate the delicacy of plant health assessments over time, enabling visionary decision- timber and precise resource allocation. The proposed IoT plant health monitoring system offers several advantages over traditional styles, including reduced labor costs, early discovery of factory stressors, and optimized resource application. also, it facilitates data driven perceptivity that empower growers to make informed opinions to ameliorate crop yield and quality. The system is designed to be user-friendly, allowing individualities to cover their shops ever through a web interface. exercising Internet of effects (IoT) principles. The captured visual data is anatomized to descry anomalies, conditions, or stress factors in advancement of smart husbandry and sustainable plant care practices. preface husbandry's purpose is the parentage and nurturing of shops, creatures, and other organisms, similar as fungi, in order to produce biofuel, food, fiber, medicinal shops, in addition to other goods that profit and support living brutes. The secret to" betterment in husbandry" is veritably pivotal, demand for a developing country.
Keywords	Internet of Things (IoT), Plant health parameters, Camera technology, Leaf coloration, Disease symptoms, Cloud-based platforms, Smart agriculture, Anomaly detection.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-02-11
Cite This	Survey on Plant Health Monitoring System using AI - Pavan, Shashidhar S P, Pallavi H S - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1757
DOI	https://doi.org/10.71097/IJSAT.v16.i1.1757
Short DOI	https://doi.org/g85dm3

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Survey on Plant Health Monitoring System using AI

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