Building IoT Infrastructure for a Smarter World

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Agriculture IoT

agriculture-iot

Integrated Crop Health Monitoring Solution has the following components:

  • Drone for collecting near real time field image for generating crop stress map
  • Field survey team to survey areas of concern and generate crop advisory for stressed areas depending on the visual inputs received from the area.
  • Analytical tools for processing big data with near real time prediction that would prevent crop loss.
  • Artificial Intelligence powered simulation tools
  • Mobile app for registering a user and placing a request for drone survey. The app would also provide a platform for the registered user to visualize his plot for locating areas of stress with necessary irrigation advisories for the same.
  • Web app is the web version for registered users to visualize the current stress status of his/her plot on web with facility to store and view all information for the current crop year.
  • IOT sensor for providing advance advisory related to stress area along with development of dedicated irrigation model related to water scheduling, application of fertilizer and pesticide
Modules:
  • Drone for collecting near real-time images of the field for generating crop stress map
  • Field survey team to survey areas of concern and generate crop advisory for stressed areas depending on the visual inputs received from the area.
  • Analytical tools for processing big data with near real time prediction that would prevent crop loss.
  • Artificial Intelligence powered simulation tools
  • Mobile app for registering a user and placing a request for drone survey. The app would also provide a platform for the registered user to visualize his plot for locating areas of stress with necessary irrigation advisories for the same.
  • Web app is the web version for registered users to visualize the current stress status of his/her plot on web with facility to store and view all information for the current crop year.
  • IOT sensor for providing advance advisory related to stress area along with development of dedicated irrigation model related to water scheduling, application of fertilizer and pesticide
Cognitive IoT for Precision Farming:
  • A. Real Time Sensing of Critical parameters affecting the crop output on as demand basis through intelligent sensors.
  • B. Optimal control of agricultural inputs backed by remote analytics
  • C. Continuous advisory on crop health and parameters through a mobile App
Agri IoT Kit
A. Real Time Sensing of Critical parameters affecting the crop output on as demand basis through intelligent sensors. B. Optimal
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IRNSS SatCom Terminals
SatCom Terminals Stesalit is developing the SatCom Terminals based on IRNSS from ISRO, with collaboration with Space Application Center, ISRO,
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Single Board Computer
Integrated Electronic Ticketing and OnlineReservations Network edge devices from Stesalit connects with numerous devices and communicate with the cloud through
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GPS Container Tracking Device
GPS Container Tracker, Long battery life There are more than millions cargo containers throughout the world with ocean liners, with
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