Smart Agriculture with the Help of the Internet of Things

The agricultural domain is one of the most significant domains in the IoT. It has modernized the agricultural sector by decreasing waste generation and increasing productivity. IoT-based Smart Agriculture uses proficient instruments and methods for managing soil, crops, and animals. 

Definition of Smart Agriculture

Smart agriculture is a new concept that is becoming increasingly popular. It involves the introduction of smart technologies like wireless sensors, drones, automated machines, and actuators for controlling and operating agricultural lands. Here are some excellent applications of IoT in the agricultural sector:

  • Industrial Wireless Sensors for monitoring and tracking the status of insects and crops
  • Drones to monitor livestock (like hens)
  • Machines to perform route operations and ensure the proper functioning of the system
  • Automated systems for watering crops at convenient times

How Do Smart Farms Work?

Any farm which is operated using the latest technologies, as well as modern communication systems, is a smart farm. The multiple technologies used by farmers in a smart farm include:

  • A Wireless Vibration Sensor for water, soil, humidity, and moisture control
  • Tracking and sharing locations using satellite and GPS
  • Software for diagnosing animal and plant diseases, and treating the disease 

Robotics and automated tools together manage smart farms, thus reducing the cost of manual labor. 

Smart Agricultural Processes

1. Collection of data- This is the first step in which farmers collect data about the water levels, temperature, etc. by placing sensors in the fields.

2. Diagnostics- The accumulated information is sent to clouds so that it can be processed. Interpretation of the data results in weighted outputs.

3. Decision-making- This step is crucial, and it cannot be performed without a proper diagnosis of the data. Decision-making takes place with extreme precaution and care.

4. Taking action- When the decision is made, the final step deals with taking necessary steps for fulfilling short-term and long-term goals. 

Some Instances of Smart Agriculture

  • Usage of drones to monitor remote areas where humans can’t reach
  • Smart cameras and sensors to count the total number of animals on a farm
  • Keeping track of water levels in large tanks
  • Ensuring that plants thriving inside a greenhouse get adequate oxygen

Conclusion

So, while traditional farming relies on outdated farming techniques, IoT-based smart agriculture saves time and energy by using updated machines and systems. From managing greenhouse gases to monitoring the growth of crops in real-time, IoT has a solution to every problem. 

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