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Big Data and advanced technology have significantly influenced the farming and food production industry, particularly in how management exercises its controlling function. This impact can be seen in two major areas of change and innovation:

Enhanced Predictive Abilities: Traditional farming relied heavily on a farmer's experience and intuition to predict weather patterns and crop behavior. The advent of Big Data technologies has revolutionized this aspect. Farmers now have access to detailed weather forecasts, soil health data, and predictive analytics about crop diseases. These tools allow for more precise and informed decision$-$making, reducing the reliance on guesswork and significantly improving crop management and yield.

Precision Agriculture: Big Data has introduced precision agriculture, which uses data analytics to optimize farming practices. This includes monitoring crop health through satellite images and sensors$,$ precise application of water and fertilizers, and understanding the exact needs of different sections of a farm. This level of precision was not achievable with traditional methods and has led to more efficient use of resources, reduced environmental impact, and increased crop yields.

In managing a corn farming operation, the challenge lies in transitioning from traditional methods to a data$-$driven approach. The Lewin$$s Change Management Model, as presented in Exhibit $15\mathrm{.}5,$ offers a structured method for this change through the "unfreeze$-$move$-$refreeze" stages:

Unfreeze: This stage involves preparing the organization for change. To motivate your employees, start by communicating the need for change. Explain how Big Data and technology can enhance farming practices and lead to better outcomes. For example, show them data on improved yields from farms that have adopted these technologies. Address their concerns and make it clear that while the traditional methods have value, the integration of technology is necessary for the farm's future success.

Move: During this stage, implement the changes. Provide training sessions to familiarize your employees with the new technologies. Start with small, manageable changes to build confidence. For instance, introduce soil moisture sensors or satellite imagery to assist in decision$-$making. Encourage experimentation and learning from mistakes. Reward early adopters and success stories to build momentum.

Refreeze: To cement the changes, integrate the new methods into the daily routines. Establish new standard operating procedures that incorporate data$-$driven practices. Continually support your team, reinforce the benefits of the new approach, and ensure that resources are available for ongoing use of technology. Over time, this will solidify the change and make the new methods a part of the farm's culture.