Plant Health Prediction Using Ai Techniques and Big Data for Biotic and Abiotic Stressors

Abstract

Plant health significantly impacts economies worldwide. Agricultural industries newlineheavily rely on healthy plants for production. High-quality crops fetch better prices in the newlinemarket, contributing to the economic well-being of farmers and agricultural sectors. newlineConversely, when plants suffer from diseases or pests, yields decrease, leading to newlineeconomic losses for farmers and affecting food prices along with global food security. newlineInvesting in plant health not only secures food supplies but also fuels economic growth. It newlinesupports agricultural industries, provides livelihoods, and fosters global trade by ensuring newlinethe quality and quantity of crops produced. Protecting plants from diseases, maintaining newlinesoil fertility, and implementing sustainable agricultural practices are critical to newlinesafeguarding food security and sustaining a robust economy. newlineBiotic and abiotic stresses represent significant challenges in agriculture, affecting newlineplant health, productivity, and ultimately food security. Biotic stresses arise from living newlineorganisms such as pathogens, pests, and weeds, while abiotic stresses result from nonliving newlinefactors like temperature extremes, drought, salinity, and pollution. Understanding newlinethe complex interactions between plants and their environment is essential for developing newlineeffective strategies to mitigate these stresses newline