Crop Health Management

Crop health management is a smart farming application that drastically reduces the human labor required to monitor crops.

Crop Health Management

What is IoT-Enabled Crop Health Management?

Crop health management utilizes modern information and communication technologies, like IoT-enabled sensors or drones, to monitor the condition of crops as well as critical environmental factors, like moisture levels. Smart agriculture applications boast improved operational efficiency and allow farmers to quickly respond to if conditions threaten their yield.

Value Proposition

In the United States, 20 to 25 percent of all crop yields are lost due to pests, crop disease, or post-harvest losses. These losses mean not only lost revenue from a decreased yield but wasted water, fertilizers and time spent manually monitoring and tending to crops.

Traditional methods for monitoring crops rely heavily on human labor, sometimes including a physical inspection of each inidividual plant for parasites or disease. This method is not only costly, but it’s also highly prone to human error – say, missing a diseased leaf or failing to notice an infestation, which can quickly degrade the quality of an entire yield.

While IoT crop health management or monitoring solutions require a higher upfront cost, they can provide much more flexibility to scale, decrease operational costs over time, and provide a more reliable long-term solution.

Crop Health Management

How it Works

Crop monitoring solutions use sensors to track environmental changes in real-time. This can include conditions like temperature, humidity, precipitation, and soil quality. In cases of swift environmental changes, like an overnight freeze, crop monitoring solutions can enable farmers to respond immediately, even if they aren’t on-site.

Crop Health Management

Key Benefits of IoT-Enabled Crop Health Management

  • Reduce the human labor required to monitor the condition and health of crops, minimizing human error and reducing labor costs.
  • Maintain historical records of changes in environmental factors to make better, more informed decisions.
  • Receive real-time alerts to infestations, disease or changes in critical environmental conditions to reduce crop loss and decrease response time.
  • Loop in remote stakeholders by providing access to crop conditions from anywhere.

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