Digital Agricultural Technology: Shaping the Future of Farming

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With InSight you can track livestock and equipment using GPS, VHF, UHF, GSM, or satellite-based systems. Options range from ear tags and collars with real-time GPS tracking to devices that send alerts for theft or irregular animal behaviour. Equipment tracking typically uses devices like the AT4 Asset Tracker, which may use GSM or other network technologies.

Livestock tracking 

• Collar-based systems:  InSight require only one collar per group of animals and send an alarm to your phone for irregular movements. They offer live GPS tracking via a mobile app.

• Ear tags:  InSight smart ear tag provide real-time location monitoring and can integrate with a mobile app. Some models also have biosecurity features.

• Behavioural monitoring: InSight goes beyond simple location tracking to monitor animal behaviour, including idleness, sudden movements, or separation from the herd. 

Equipment tracking

• Insight technologies: These trackers use a range of technologies, including GSM, satellite, and other cellular networks to provide location data.

Integration: Some devices can integrate with your own end platform via APIs for more advanced control and monitoring. 

Agriculture IoT sensors and devices include a network of connected tools that monitor environmental conditions and manage farm operations through real-time data collection and analysis. Key devices include soil moisture sensors, temperature and humidity sensors. These technologies help farmers with tasks like precision irrigation, crop monitoring, and equipment maintenance. 

Drones are used in agriculture for a variety of tasks, including crop monitoring, spraying, and soil analysis, leading to greater efficiency, reduced costs, and a lower environmental impact. They provide valuable data through aerial imagery for tasks like crop health assessment and yield prediction, while also performing mechanical functions such as precision spraying and seed planting. This technology enables farmers to monitor fields, identify issues early, and apply resources precisely, which helps optimize yields and save on costs and waste. 

Informational and monitoring tasks

• Crop health monitoring: Drones use cameras and sensors to capture images that reveal crop health, identifying stress, disease, or nutrient deficiencies before they are visible to the naked eye through techniques like Normalized Difference Vegetation Index (NDVI) mapping.

• Field and soil mapping: Drones create detailed maps of fields to analyse soil moisture, temperature variations, and nutrient content, which helps with planning and resource management.

• Livestock monitoring: Ranchers use drones to count livestock, monitor their health, and check remote pastures, with thermal cameras helping to spot hidden animals.

Yield prediction: The data collected from drone surveys provides high-level data about crop yields, which can help farmers predict future outcomes.