Agricultural management system using a deep learning-base framework

A method for operating an agricultural managements system, the method comprising:

• obtaining data from an array of Internet of Things (IoT) sensors of the agricultural managements system located across an area and at least one drone of the agricultural managements system having an imaging device and the at least one drone operating across the area;
• communicating the data to a set of wireless portal devices of the agricultural managements system located across the area;
• pre-processing images from the imaging device of the agricultural managements system using median and Laplacian filters;
• annotating each of the images with location data;
• analyzing the data from the wireless portal devices of the agricultural managements system using generative adversarial networks (GANS);
• extracting features from the images with liquid neural networks;
• generating feature maps from the extracted features;
• forwarding the feature maps to generator and discriminator units of the agricultural managements system of the GANs;
• storing the images in a training repository of the agricultural managements system for artificial intelligence-based image processing;
• communicating results of the analysis of the data to an agricultural resource of the agricultural managements system;
• and
• providing an operating instruction to said agricultural resource of said agricultural managements system based upon the communicated results of the analyzed data.