With Edge ML, agriculture solutions developers can help farmers automate and maximize output, leading to operational automation and machine-led decision making.
Optimizing harvesting season by reducing water use and optimizing soil health can be beneficial to yield efficiency and production.
Reducing pesticides use can lead to cost effective organic farming practices, increasing profits and consumer demand.
Preventing crop losses by precisely tracking plant growth, helping mitigate pest infestation, and weed detection.
Identify crop health using image or sensor data and respond without the need for human intervention.
Identify different crops to automate distribution of water, which can adapt to different environmental conditions.
Deploy smart devices in fields, on animals, in barns and sorting facilities to help farmers get real-time farm insights.
Ensure healthy livestock using biometric sensors for body temperature and heart rate to detect early diseases or health issues.
Use sensor data to monitor environmental conditions and potential natural disasters to ensure that action can be taken proactively to reduce crops damage.
Use computer vision techniques to develop robots to perform automated tasks such as crops maintenance and monitoring.
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