IoT in Agriculture
At Ground Control, we take pride in collaborating with numerous customers who are at the forefront of driving IoT advancements in Agriculture. One outstanding example is Synnefa, a company that equips 8,726 farmers across Kenya with integrated IoT devices and farming software.
By harnessing data from IoT devices in the field, along with farmer activity and trend analysis, Synnefa empowers farmers with valuable insights. These insights enable informed decision-making and facilitate automated tasks within Synnefa’s smart greenhouses, such as sensor-based fertilization. Together, these capabilities revolutionize farming practices, enhancing efficiency and productivity.
• Water usage down 50%
• Fertiliser application down 41%
• Average 30% increase in production yields vs before IoT device implementation.
Drones play a crucial role in automating tasks and optimizing crop yields in various ways, including:
Crop monitoring: Equipped with sensors or cameras, drones collect data on crop growth, health, and water stress by surveying fields. This information enables farmers to create detailed maps and identify areas requiring attention, facilitating precise irrigation and fertilizer application.
Crop spraying: Fitted with spray nozzles, drones apply pesticides and chemicals with exceptional precision, reducing the quantity required and minimizing environmental impact.
Livestock monitoring: Drone cameras provide real-time information on animal health and behavior, assisting in tracking grazing patterns and identifying stressed or sick animals.
4. Autonomous tractors
Autonomous tractors are at the forefront of revolutionizing farming practices across the United States. These self-driving vehicles are equipped with advanced sensors, cutting-edge GPS technology, and high-resolution cameras, meaning they’re able to perform tasks like plowing, tilling, and crop spraying with unprecedented accuracy.
They can also act as data collection hubs. Integrated sensors capture vital information on soil health, nutrient levels, moisture content, and even weather conditions. This real-time data provides farmers with valuable insights into the overall well-being of their crops, allowing for proactive decision-making. By monitoring crop growth patterns and soil conditions, farmers can implement targeted interventions, adjust irrigation schedules, and fine-tune fertilization strategies for optimal results.
In addition, as autonomous tractors can operate around the clock without fatigue, they enable Ag operators to mitigate worker exposure to harsh conditions. Meaning farmers can allocate human resources to more complex tasks, further maximizing productivity.
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