Solutions

Bringing hardware intelligence to agriculture

Simms helps system integrators, software companies and OEMs develop and deploy these intelligent applications, bringing together the edge computing, vision technology and industrial hardware needed to operate reliably in real-world agricultural environments.

Discuss your project

Where Edge AI makes a difference

Enabling smarter farming through Edge AI, machine vision and autonomous technologies.

Crop health & detection

Enable AI-powered monitoring of crops, plants and growing conditions using machine vision and intelligent sensing. Identify disease indicators, detect weeds and recognise changes in crop health, supporting earlier interventions and more informed agricultural decisions.

Precision agriculture

Improve the accuracy of agricultural processes through real-time object detection, counting and classification. Vision-based AI can support targeted crop treatment, yield assessment and automated inspection to reduce waste and optimise resource use.

Autonomous machinery

Give agricultural machinery greater awareness of its surroundings through Edge AI, cameras and depth-sensing technology. Support the development of robotic systems capable of navigation, object recognition and obstacle avoidance in demanding outdoor environments.

Farm monitoring

Support smarter monitoring of animals, equipment and agricultural facilities using connected sensors and AI-powered vision. Enable technology providers to develop systems that improve operational visibility and identify unusual activity or conditions.

Helping the innovators behind smarter agriculture

Deliver intelligent agricultural solutions

We help agricultural technology and automation integrators identify the hardware required to deliver machine vision, monitoring and autonomous systems for their customers.

Taking agricultural Edge AI into the field

You've developed software capable of analysing crops, animals or agricultural environments. We help identify the edge hardware and vision platforms needed to run it.

Build intelligence into agricultural machinery

We help equipment manufacturers evaluate and integrate AI computing, vision technology and industrial components into intelligent agricultural products and machinery.

Our approach and value

Agricultural AI solutions must perform beyond controlled environments. Variable lighting, dust, moisture, vibration, temperature and limited connectivity all influence hardware selection.

Simms helps technology providers navigate these challenges, bringing together specialist compute platforms, vision technology and industrial-grade components to support solutions designed for demanding agricultural applications.

01

Define

Understand your application, operating environment, and technical requirements

02

Develop

Identify the suitable compute, vision (if needed), and industrial hardware to make it happen

03

Validate

Support your evaluation, integration, and testing with our technical partners

04

Deploy

Enable repeatable hardware supply, lifecycle planning, and rollout

Our Edge AI hardware solutions

Jetson inference systems

  • Powerful, low power edge compute
  • Suitable for all sizes of AI
  • Easily embeddable form factor

Edge AI systems

  • NVIDIA, Qualcomm and Intel solutions
  • Customisation services from Innodisk
  • Durable, industrial-grade components

Embedded AI camera

  • USB 2.0 Fixed Focus Modules
  • MIPI Fixed Focus/Varifocal Modules
  • GMSL2 Fixed Focus Modules

3D depth cameras

  • Stereo Depth Cameras
  • Ruggedised and Industrial
  • Facial Authentication

Industrial-grade DRAM

  • CXL Modules
  • DDR5 Generation
  • SDRAM to DDR4 legacy

Industrial-grade storage

  • M.2, U.2, and EDSFF
  • PCIe and SATA
  • PATA Compact Flash Card

Real-world applications from our vendors

We work directly with world-leading Edge AI manufacturers to bring you such solutions. Discover how their solutions are already supporting innovation across agriculture and smart farming.

aetina

Crop health

Developed with an ISV partner, Aetina's Edge AI solution uses machine vision to analyse mango leaves and detect potential diseases directly in the field, delivering timely insights without depending on cloud processing.

Innodisk

Farm automation

Innodisk supported the development of an automated farm equipment system through industrial connectivity, helping communication capabilities for monitoring, control and obstacle detection.

RealSense

Robotics

Directed Machines uses RealSense depth cameras to help autonomous land-care robots navigate challenging environments, perceive obstacles and operate where GPS-based positioning can be unreliable.

Let’s talk through your next Edge AI project

Chat with our team over a quick deep dive into your business or project and how you’re currently using – or plan to use – Edge AI hardware.