Automation

See how Case IH is defining new categories of autonomy and automation in agricultural field applications.

High-Efficiency Farming For Today and Tomorrow

Since its reveal of the autonomous concept vehicle in 2016, Case IH has continued evolving the technology and further defining automation and autonomy for agriculture. Discussions with customers around the world have helped us study how this technology can be implemented for maximum benefit in all types of operations. Now, through our Autonomy and Automation Program, we’re researching and piloting autonomous technology in real-life scenarios.

Five Categories of Automation for Agriculture

Through extensive Customer Driven Product Design research, we’ve found that current and future technology needs fall into five categories of automation for agricultural field applications. Learn about the kinds of activities associated with each category below.

Category 1: Guidance

While vehicles are still manned by an operator, guidance can provide efficiencies to the farming operation from plating season through to harvesting season. AFS technologies that fall into this category - like AccGuide and AccTurn - help maintain row-to-row vehicle accuracy in the field in order to to reduce overlaps and skips. Ultimately, these technologies help save fuel, decrease labor costs, and reduce operator fatigue while also maximizing crop yield.

Learn More About AFS

Category 2: Coordination & Optimization

This category of automation uses both vehicle and environmental data to develop an information hub that allows for plot wide communication between manned equipment. Case IH equipment with ISOBUS Class 3 functionality fall into this category as this technology allows implements to control tractor functions like ground speed and rear PTO for increased performance and throughput. Coordination and optimization technologies also help organize data such as imported satellite imagery, soil sampling maps, and in-field path plans into a single program accessible from any compatible Case IH vehicle.

Learn More About Data Sharing

Category 3: Operator Assisted Autonomy

Operator assisted autonomy allows operators to focus on the planter or implement behind them as their vehicle drives itself. This allows operators to perform activities like assessing a seedbed’s agronomic potential using AFS Soil Command™ from the tractor cab, while simply monitoring automated functions and only providing backup and support when needed.

Watch AFS Soil Command Video

Category 4: Supervised Autonomy

The supervised autonomy category of automation allows producers to provide in-field supervision while unmanned vehicles perform designated tasks. With unmanned equipment, supervised autonomy takes productivity and efficiency to a new level by enabling would-be-operators to monitor the performance of their vehicles while simultaneously accomplishing other strategic, in-field tasks. Vehicles with this autonomous capability are equipped with GPS precision down to sub-inch accuracy and intermediate level sensing and perception to avoid environmental obstacles.

Category 5: Full Autonomy

Full autonomy is the most advanced category of automation. Full autonomy allows vehicles to be operated with remote supervision - such as from the farm office - or via artificial intelligence. Additionally, vehicles with full autonomy have the ability to account for weather and moisture levels, which serve to further increase productivity and efficiency of the farming operation.

Researching and Piloting Autonomous Technology in the Field

The only way to validate on-farm uses for autonomous technology is with field pilots where farmers use it on their own farm, integrate it into their own fleet and conduct their everyday activities.

Today, we’re collaborating with Bolthouse Farms — one of the largest carrot producers in North America, operating across four states and Canada — on an autonomous tractor pilot program. The goal is to understand how new autonomous technology can be used and how it meets real-world on-farm requirements. Watch the video to learn more.

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