Abstract
The Agricultural Resource Management System (ARMS) is an information system that geographically permits farmers to classify their field and farm animals’ for making services in terms of setting up resources, increasing their ecological Farm Plan, food traceability, and animal physical condition. It is a tough task of planning the agricultural resources and making use of them effectively such as farm construction, tools utilization, fertilizer processing, management amenities, and use facilities which adds to the production, training, and marketing of crops. Apart from the fundamental property sunlight, soil, and water, the seeds and animal breeds, and human Endeavour also should be given more priority as agricultural resources. On the other hand, Agriculture Management System is the administration website to assist farmers in achieving high productivity and profitability to furnish efficient agricultural procedures through online selling of products. In order to attain the benefits and profits through agricultural resources, the Data fusion technique is used to integrate data and knowledge impending from several sources to acquire exact outcomes remotely. The purpose of this paper is to construct an intelligent decision-making Data fusion algorithm for proficient agriculture resource management. In addition, the analysis of challenges of the resource management and solutions also are rendered by taking agriculture land’s natural resources like water, air, and temperature level in winter and autumn seasons..
The Intelligent Decision-Making Based on Multi-source Heterogeneous Data Fusion in Manufacturing