ENHANCING AGRICULTURAL EQUIPMENT AND MEDICAL DEVICES THROUGH BIG DATA ANALYTICS: OPTIMIZING PERFORMANCE, EFFICIENCY, AND DECISION-MAKING IN MODERN INDUSTRIES

Abstract

There is very much information about big data in the case of business and others. The concept of big data has been known overall in recent years. Many sorts of data are obtained in agriculture, too. Equipment related sensor data is a long-established approach to fine-tuning the application of fertilizers and pesticides, by precisely monitoring crop response. The very nature of farming also makes it data-rich: GPS enabled vehicles and ploughs, tillers, harvesters and other implements churning out crucial geographic data, drones that scan the fields, and a multitude of other devices that can provide soil, weather and crop data. All these streams of numbers can now be aggregated, and whipped into place by sophisticated data-management and analytics software. This amounts to the building of platforms that will make data ultimately the basis on which the next wave of agricultural productivity will be driven. Treatethield Connexions, is known as one promising “big data” project for farming, which will by and large wallets the sheer amount of data generated by existing precision farming equipment, transfers it to an independent data platform, and analyses them to increase profitability for one better-informed, yet potentially marginalized community concerned. Many types of support are connected with this BD initiative to improve agriculture security. This includes the development of a wide range of farming equipment that will feed data into lay down events of connection, establishing better logistics for food distribution, reducing transportation costs for farmers and streamlining bulk exports. On the other side, it involves taking steps to improve market opportunities for farmers. Tradable titles of fungible goods will be introduced, and, in conditions likely to benefit large-scale farmers, many items relating to pesticide and fertilizer will be removed from the list of control.