PREVENTIVE, PREDICTIVE AND PRESCRIPTIVE ANALYSIS PROCESS FOR PRECISION AGRICULTURE

Abstract

The invention aims to optimize the analysis of plant, water, and soil samples that producers send to laboratories, using artificial intelligence to improve agricultural management by utilizing a broader dataset than traditional agricultural practices. The invention analyzes physical, chemical, and biological variables from the samples and compares them with historical climate data and production targets. It identifies potential crop problems, prioritizes the most critical ones, and proposes action plans that balance all variables involved in plant growth, reducing the use of fertilizers and agrochemicals. Data is captured every fifteen minutes on the farm, allowing for continuous adjustments to soil, irrigation, and plant management.The invention generates personalized plans for nutrition, fertility, irrigation, pests and diseases, providing specific recommendations to maximize the yield, quality, profitability and sustainability of agricultural production.