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5 Ways Big Data and Analytics Are Revolutionizing the Food Industry

The food industry is one of the largest sectors in the industrial world. With the increase in global competition, the food industry is facing numerous challenges like reducing supply chain waste, optimizing supply chain efficiency, boosting sustainable growth, implementing green policies and finding a competitive advantage. With growing complexities, businesses in the food industry need to keep close tabs on managing product and data throughout the supply chain.

Inefficient supply chain leads to low-profit margins and more wastage. Furthermore, if the supply chain is not optimized, it can result in the inability to adapt quickly to a problem and can increase operational costs. Therefore, players in the food industry must leverage the benefits of technology like big data and analytics to gain better insights into the ability to track and monitor supply chain activities in real time.

At Quantzig, we understand that to ensure the efficiency and performance of your supply chains, from sourcing to manufacturing to delivery, optimization is required. And to help food industry businesses thrive in the competitive landscape, our team of experts has highlighted five ways in which big data and analytics can help companies in the food industry to become market leaders. 

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Food from Thought – Big Data Revolution in the Food Industry

The food industry across the world is facing an interesting challenge. The world population is constantly on the rise whereas agricultural land is on a steep decline due to urbanization. To tackle such problems, key players in the food industry are resorting to vertical farming, genetic engineering, and most importantly big data. The explosion of data Free demoin the field of agriculture and food processing regarding seed type, soil type, climate, and other agri-supply chain data can help drive decision making, which, in turn, can transform the value chain of the food industry. Here’s a look at how big data can bring about a revolution in the food industry.

Precision Agriculture

The advent of GPS and GNSS technology has enabled precise location tracking of field maps to measure variables such as crop yield, terrain topography, organic matter content, and moisture levels. Such data helps the farmers in effective water management, waste minimization, crop yield increment, and minimizing environmental impact. The data captured from thousands of tractors on farms across the world can then be collected and analyzed in real-time.

Accurate Information and Forecasts

The food industry depends on accurate forecasts and right information to maximize crop yield. Integrating information relating to soil, weather, and market prices with granular data can provide inputs to optimize the agricultural input factors. Additionally, optimizing the agricultural input factors increases the crop yield, optimizes resource usage, and lowers cost.

Food Safety and Traceability

Big data is set to change the landscape of the food industry by enhancing food safety and traceability. Big data along with IoT proactively monitors the condition of food right from the farm to fork and sends out an alert when discrepancies are found. As a result, consumers are always assured of the food quality and food wastages are minimized.

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