Farmers can take advantage of the five major aspects of machine learning and artificial intelligence
The drone can be used in a variety of agricultural applications, such as allowing the user to see the entire field from a height of 400 feet and immediately zooming in on the aerial shot to check the problem 2 inches above the plant. According to Agriculture.com, DroneDeploy CEO Mike Winn said that people who want to improve farm productivity can consider using drones and provide five ways in which farmers can use aerial insight.
I. Identify pests, parasites, and fungi: The Drone software reveals important insights about plant health, allowing farmers to identify plant pests and diseases before they destroy the entire crop and make real-time decisions about the next steps.
Second, use machine learning to eliminate inefficient guesses: farmers can use machine learning and artificial intelligence (AI) to make plant population reports and build stand counts. Farmers and agronomists can replace traditional field reconnaissance methods with comprehensive aerial data. At the same time save thousands of dollars in the process.
3. Real-time assessment and mitigation of damage: Major natural disasters may lead to crop deaths. Farmers can use real-time aerial imagery and computer vision technology to assess losses in real time, so that immediate action can be taken to mitigate losses and negotiate with the insurance company for reasonable claims.
Planning a data-driven future: While drones can make immediate decisions, tools such as parallel maps and the ability to formulate pesticides at different rates can help with advanced crop management. In a data-driven world, precision agriculture projects do not use drones.
5. Prepare for the off-season: UAVs can help ensure crop growth and harvest success. The software helps to assess irrigation systems, scan the soil for pre-season problems, and even spot trends in previous maps to prepare farmers for the future farming season.
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