Modern agriculture

With Edge ML, agriculture solutions developers can help farmers automate and maximize output, leading to operational automation and machine-led decision making.

Add value to agriculture with ML

Yield efficiency

Optimizing harvesting season by reducing water use and optimizing soil health can be beneficial to yield efficiency and production.

Healthier produce

Reducing pesticides use can lead to cost effective organic farming practices, increasing profits and consumer demand.

Operational reliability

Preventing crop losses by precisely tracking plant growth, helping mitigate pest infestation, and weed detection.

Agriculture use cases

Crop health

Identify crop health using image or sensor data and respond without the need for human intervention.

Smart irrigation

Identify different crops to automate distribution of water, which can adapt to different environmental conditions.

Remote farm monitoring

Deploy smart devices in fields, on animals, in barns and sorting facilities to help farmers get real-time farm insights.

Animal health monitoring

Ensure healthy livestock using biometric sensors for body temperature and heart rate to detect early diseases or health issues.

Crops disaster protection

Use sensor data to monitor environmental conditions and potential natural disasters to ensure that action can be taken proactively to reduce crops damage.

Agriculture robots

Use computer vision techniques to develop robots to perform automated tasks such as crops maintenance and monitoring.

Don’t see a use case that fits? Our team of experts can help you develop a custom solution. Contact us.

Accelerate solution development

Expert support

We are the leaders in embedded ML, with track records of working with top enterprises developing solutions across the wearables, industrial and consumer spaces.

Less engineering time

Speed up development timelines with the best-in-class embedded ML platform, designed to help you create production-grade software in less than six months.

Open source, royalty-free

All Edge Impulse developed algorithms are licensed under Apache 2.0, without royalties. This means that you completely own your algorithms, and no royalties exist when it comes to deploying them.

Flexible deployment

Models developed in Edge Impulse can be deployed to any edge device, whether that is a MCU, processor, GPU or even a mobile device.

Data agnostic

Our platform allows enterprises to manage their sensor, audio and vision data regardless of how it is formatted and where it exists today. From data transformation to DSP, we can help you visualize and wrangle your data to unlock its potential.

Develop new skillsets

Build in-house embedded ML skills over time with Edge Impulse, which can be accessed as a low-to-no code tool to a Jupyter notebook which can be used to make API calls to the platform.

Case studies

AI-Managed Crops Irrigation
Maximize crops yield and minimize soil degradation and water waste using the Arduino Edge Control and Edge Impulse.
Agricultural Robotics and ML
Record crop trials and provide precise irrigation levels to quantify the best crop-growing conditions with Edge Impulse.

Talk with an expert