International Journal Of Imaging

Abstract

COMPREHENSIVE ANALYSIS OF CROP STRESS DETECTION MODELS

Author: Janga Vikas, Teegala Nikhitha ,Varaganti Harshika , K.YadagiriS

Abstract:

Crop health assessment is crucial for ensuring food security and sustainable agriculture practices. Stress detection and classification models have gained significant attention in recent years as a means of monitoring and managing crop health. In this review paper, we analyze the existing state of the art stress detection and classification models for crop detection, with a focus on their performance, strengths, and limitations. Our analysis covers four main areas: stress detection models, stress classification models, integrated models that combine both approaches and Crop stress severity quantification approaches. We have provided a critical evaluation of each model type, including an overview of the feature extraction techniques, algorithms, and classification methods used. We have also compared the performance metrics and benchmarks across models and discuss their potential for practical application in the agriculture industry. Our findings indicate that while sign