Farm IoT

IOT in agriculture uses robots, drones, remote sensors, and computer imaging combined with continuously progressing machine learning and analytical tools for monitoring crops, surveying, and mapping the fields, and providing data to farmers for rational farm

FAQs

What is IoT?

IoT is the abbreviated form of the Internet of Things. IoT is a broad terminology given to every object that can relay information when connected to the network. The term Internet of Things was coined in 1999 by Kevin Ashton, co-founder and Executive Director of the MIT Auto-ID Laboratory while he was giving a presentation at Procter and Gamble (P&G) as their Brand Manager. He wanted to introduce RFID tags to manage the supply chain so that the location and stock at the hand of each item coming out of it can be more easily monitored.

    What is the role of IoT in agriculture?

    Agriculture through precision farming implements IoT through the use of robots, drones, sensors, and computer imaging integrated with analytical tools for getting insights and monitoring the farms. Placement of physical equipment on farms monitors and records data, which is then used to get valuable insights.

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    REMOTE SENSING IN AGRICULTURE

    Remote sensing in agriculture is revolutionizing the way data is acquired from different nodes in a farm’ IoT-based remote sensing utilizes sensors placed along with the farms like weather stations for gathering data, which is transmitted to analytical tools for analysis. Sensors are devices sensitive to anomalies. Farmers can monitor the crops from the analytical dashboard and take action based on insights.

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    Crop Monitoring

    Sensors placed along the farms monitor the crops for changes in light, humidity, temperature, shape, and size. Any anomaly detected by the sensors is analyzed and the farmer is notified. Thus remote sensing can help prevent the spread of diseases and keep an eye on the growth of crops.

    Weather conditions

    The data collected by sensors in terms of humidity, temperature, moisture precipitation, and dew detection helps in determining the weather pattern in farms so that cultivation is done for suitable crops.

    Soil quality

    Soil health analysis helps in determining the nutrient value and drier areas of farms, soil drainage capacity, or acidity, which allows to adjustment of the amount of water needed for irrigation and the opt most beneficial type of cultivation.

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