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The concept of the Internet of things (IoT), introduced by Kevin Ashton a British technologist in 1999, has been proven to be one of the emerging technologies of recent times that have a slated effect on every industry and sector including the agriculture industry and farming.
Technically, IoT is the idea of interacting with generic objects based on radio frequency identification (RFID) tags, IP addresses for smart objects (IPSO), and sensor/sensing technologies. Internet is an IPSO-based network, while things are generic objects that can be people, animals, household products, houses, offices, a laptop, or even a vehicle. The adoption rate of IoT technology is skyrocketing across the board, and nearly 43% of worldwide enterprises have employed IoT applications in one way or the other, and agriculture and farming have no exception.
Industrial IoT (IIoT) refers to the application of IoT technology in industrial settings, especially with respect to instrumentation and control of sensors and devices that engage cloud technologies. Recently, industries have used machine-to-machine communication (M2M) to achieve wireless automation and control. But with the emergence of cloud and allied technologies (such as analytics and machine learning), industries can achieve a new automation layer and with it create new revenue and business models. IIoT is sometimes called the fourth wave of the industrial revolution, or Industry 4.0. The following are some common uses for IIoT: Smart Connected assets and preventive and predictive maintenance Smart power grids Smart cities Connected Logistics Smart digital supply chain
IoT-oriented farming or smart farming is now the future with promising applications and solutions which may include farm vehicle tracking, livestock monitoring, storage monitoring, crops/plants monitoring, and more. Smart farming promises greater efficiency, resources, and stock reduction, less human intervention, automation, data-driven processes, increased production, water conservation, real-time data and production insights and accurate farm and field evaluation, and many more.
The concept of the Internet of things (IoT), introduced by Kevin Ashton a British technologist in 1999, has been proven to be one of the emerging technologies of recent times that have a slated effect on every industry and sector including the agriculture industry and farming.
Technically, IoT is the idea of interacting with generic objects based on radio frequency identification (RFID) tags, IP addresses for smart objects (IPSO), and sensor/sensing technologies. Internet is an IPSO-based network, while things are generic objects that can be people, animals, household products, houses, offices, a laptop, or even a vehicle. The adoption rate of IoT technology is skyrocketing across the board, and nearly 43% of worldwide enterprises have employed IoT applications in one way or the other, and agriculture and farming have no exception.
Industrial IoT (IIoT) refers to the application of IoT technology in industrial settings, especially with respect to instrumentation and control of sensors and devices that engage cloud technologies. Recently, industries have used machine-to-machine communication (M2M) to achieve wireless automation and control. But with the emergence of cloud and allied technologies (such as analytics and machine learning), industries can achieve a new automation layer and with it create new revenue and business models. IIoT is sometimes called the fourth wave of the industrial revolution, or Industry 4.0. The following are some common uses for IIoT: Smart Connected assets and preventive and predictive maintenance Smart power grids Smart cities Connected Logistics Smart digital supply chain
IoT-oriented farming or smart farming is now the future with promising applications and solutions which may include farm vehicle tracking, livestock monitoring, storage monitoring, crops/plants monitoring, and more. Smart farming promises greater efficiency, resources, and stock reduction, less human intervention, automation, data-driven processes, increased production, water conservation, real-time data and production insights and accurate farm and field evaluation, and many more.
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