Smart Agriculture



Following the growth of the population around the world, the need for food is very high. Given this need, the agricultural industry has a very high potential for the adoption of intelligent technologies such as the Internet of Things. The advent of the IoT has revolutionized the field because environmental and machine data collected by IoT sensors can give farmers a better view of their assets and enable them to make informed decisions to increase productivity. Assist in the production and improvement of all aspects of work from agriculture to animal husbandry.

IoT, as one of the most active companies in this field, by providing intelligent solutions based on IoT, has led to the possibility of monitoring and managing all various aspects of work, from soil, soil and crops to quantification, type of pesticide and The right fertilizer has been improved to achieve efficiency. Following the use of these intelligent facilities, farmers will be able to identify and eliminate waste and loss factors while managing resources and costs, which is an important factor in increasing the rate of return on investment.

Among the solutions of this company in the field of agriculture are:

  • Monitoring of weather conditions
  • Monitoring soil environmental conditions (temperature, humidity, ammonia content)
  • Monitor greenhouse conditions (brightness and amount of light, temperature, soil condition and humidity)
  • Supervision and management of products (temperature requirements, rainfall, soil conditions, health)
  • Monitor various aspects of agriculture using IoT drones


Benefits of the IoT solutions of this company in the field of agriculture:

  • Better control over internal processes and thus reduce production risk
  • Cost management and waste reduction seek to increase production oversight and control
  • Increase business productivity following the automation of IoT-based processes
  • Improving the quality and increasing the volume of products
  • Improve efficiency and make accurate decisions based on accurate data
  • Preventive analysis and increase effective forecasts

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