SOIL AND PLANT HEALTH ANALYSIS USING ELECTROMAGNETIC INDUCTION (EMI) TECHNIQUES AND MACHINE LEARNING FOR SOIL QUALITY ASSESSMENT, PLANT HEALTH MONITORING, AND GEOGRAPHIC INFORMATION SYSTEMS (GIS) VISUALIZATION

Fecha de publicación: 15/09/2023
Fuente: Wipo "precision agriculture"
Soil and Plant health analysis using Electromagnetic Induction (EMI) techniques and Machine Learning for soil quality assessment, Plant Health Monitoring, and Geographic information systems (GIS) visualizationAbstractThe invention presents a comprehensive system for soil and plant health analysis. Employing an electromagnetic induction (EMI) unit, the system transmits and receives electromagnetic waves to gauge soil and plant responses, providing a non-invasive methodology to gauge their inherent properties. An integrated machine learning processor delves into the captured data, assessing the nuanced metrics of soil quality and plant vitality by discerning intricate patterns and variations. To enhance interpretability and application, a geographic information systems (GIS) interface is incorporated, offering users a spatial visualization of the derived metrics across vast landscapes. This amalgamation of EMI, machine learning, and GIS ushers in a novel approach to agricultural monitoring, marrying precision with user-centric data representation.