Predictive Health Monitoring of Palm Trees: Techniques and Applications for Enhanced Processing

Prakhar Gupta; Sendhil Kumar K. S; Kashish Raghuwanshi; Aditya. K; Omkar

doi:10.36948/ijfmr.2024.v06i06.30492

Predictive Health Monitoring of Palm Trees: Techniques and Applications for Enhanced Processing

Author(s)	Prakhar Gupta, Sendhil Kumar K. S, Kashish Raghuwanshi, Aditya. K, Omkar
Country	India
Abstract	This paper presents new framework for predictive health monitoring in palm trees using advanced deep learning methods. The system then selects the YOLOv8 method for the detection of the health of palm trees and further divides them into their real-time classification. Here, the model will, after training on its dataset, classify the palm tree as healthy, diseased, and stressed trees, keeping all the influential factors of the growth of the palm tree in consideration. It makes provision for the profiling of health status by way of early intervention, reducing risks and preventing diseases with a view to optimizing crop yields within palm plantations. The proposed model leverages state-of-the-art methodologies in object detection to process images of the palm tree with identification of key indicators of health issues. This approach has great implications for agricultural productivity in view of the maintenance of plant health through early detection. Further, the paper discusses challenges presented during the training and validation of the model, their strategies for overcoming such obstacles, and goes further into relating details to the technical architecture of the model. Further details on the works related to plant disease detection, image-based classification, and further applications of deep learning in agriculture have inspired the research work. Based on the obtained results, it can be observed that the proposed system provides a scalable and efficient solution for continuous monitoring and assessment of the health conditions of palm trees, hence enabling sustainable agricultural practices.
Keywords	Palm Tree Health Monitoring, YOLOv8 Deep Learning, Real-Time Agricultural Monitoring
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-12
Cite This	Predictive Health Monitoring of Palm Trees: Techniques and Applications for Enhanced Processing - Prakhar Gupta, Sendhil Kumar K. S, Kashish Raghuwanshi, Aditya. K, Omkar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30492
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.30492
Short DOI	https://doi.org/g8qtgt

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Predictive Health Monitoring of Palm Trees: Techniques and Applications for Enhanced Processing

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