Environmental Conservation and Tech

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4. IoT for Agro

Sensor Systems for Agro

Learning Objectives:

  • Discover the extensive list of potential IoT use-cases within the agricultural field

Here are some examples of sensors that can be integrated with IoT-based systems for agriculture and smart farming:

SensorWhat they measureHow IoT integration benefits
Light. Light intensity
. Duration of light
. Enables identification of best planting times
. Allows precise control in controlled environments like greenhouses
Soil moisture. Moisture content. Optimization of irrigation schedules
. Avoiding over-watering or under-watering
. Enables water usage efficiency
Water quality. Temperature
. pH
. Dissolved oxygen
. Nutrient levels
. Real-time monitoring of water quality
. Identification of potential pollution sources, such as agricultural runoff or sedimentation.
Livestock monitoring. Body temperature
. Activity level
. Feeding habits
. Early detection of health issues
. Improving herd management
Pest control. Noise emitted by pests. Triggers alerts and actions to minimize damage
. Reduces the dependence on pesticides
Greenhouse gases. Carbon dioxide
. Methane
. Other greenhouse gases
. Assessing the environmental impact of agricultural practices
. Helps make informed decisions to mitigate climate change
Precision agriculture using GPS. Planting
. Fertilizing
. Harvesting
. Optimizes resource usageMinimizes environmental impact
Supply chain. Agricultural products in the supply chain. Ensures products are transported and stored under optimal conditions
. Reduces spoilage and improving overall product quality.

In addition to the aforementioned sensors, adapting some of the environmental monitoring sensors described in Week 3 (that specialize in monitoring air quality, soil erosion, and weather patterns) would be optimal for smart farming.

Watch the below video to get a better idea to learn what IoT adaptation means for farmers, and for the agricultural industry: