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Agri Business Review | Friday, September 02, 2022
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Smart sensor-equipped weather stations can gather meteorological data and provide vital information to farmers.
Fremont, CA: Modern technologies are effective in the sector of agriculture. However, many individuals would find the farming industry to be somewhat antiquated. Anyway, the idea of "smart farming" is not science fiction; instead, it is a practical method for streamlining and automating agricultural operations.
Use Cases For IoT In Agriculture
Livestock surveillance
Farmers can access all data and monitor the health of their cattle thanks to sensors and wearables. Farmers can track the whereabouts and health of their cows, hens, goats, and other livestock. To prevent a spread of a disease, it aids farmers in illness prediction and animal isolation.
Farmers may also spend less on labor since they are always familiar with their cattle and don't need to send someone to inspect them. For instance, Cowlar sells sophisticated cow monitoring systems that use collars to gather data on the animals' movement, temperature, and general health before transmitting it to a computer.
Monitoring Climate Conditions
Smart sensor-equipped weather stations can gather meteorological data and provide vital information to farmers. Additionally, the data is processed by specialized software, and the farmer receives a ready-made analysis that enables him to make an accurate prediction and prevent crop losses.
As an illustration, the IoT-based agricultural initiative allMETEO provides farmers with specialized equipment and software for meteorological condition monitoring.
Greenhouses Automation
An installed system with several sensors monitors the parameters and circumstances in a greenhouse and automatically modifies the equipment to maintain the ideal environment for each greenhouse.
The Growlink project, as an illustration, employs AI in conjunction with machine learning, computer vision, and sensor data to track the health of crops in greenhouses and automate related procedures.
Crop Surveillance
Sensors for crop monitoring gather all data, including crop health, humidity, precipitation, temperature, and other characteristics, much like in the case of monitoring weather conditions.
Farmers can anticipate any aberrations and take the necessary steps if they are there. Additionally, sensors assist farmers in deciding when is the optimal time to grow and harvest crops. One of the most well-known IoT initiatives for crop monitoring is Semios, which gives farmers remote control over weather, pest, and disease monitoring.
Farm Management Systems
These systems are necessary to assemble all information and handle it effectively. In addition, such systems are a need for farmers since they provide reporting, analytical, and accounting functionality.
The FarmLogs system has all the tools required to analyze the overall condition of the farm, monitor business operations, provide reports, and assist with accounting.