New technology can remove the guesswork from operating equipment and help drive management decisions, so it’s important to know which options are best for your operation. Consider incorporating these productivity-enhancing tech solutions into your 2020 fleet.Click here to see more...
From harvest to tillage, automation brings a new level of simplicity to operations by helping decrease operator fatigue and reduce errors. During harvesting, fine-tuning settings and adjustments to maximize clean high-quality grain is a tough task no matter your level of experience. AFS Harvest Command™ refines the harvesting process by reducing the number of functions operators need to monitor in the cab from 12 to just three, depending on the level of automation selected.
After harvest, incorporate tillage technology like AFS Soil Command™ to help ensure your equipment is always running at peak agronomic performance. This technology gives producers the capability to precisely control the entire tillage tool, not just depth, in order to adapt to variable field conditions. With AFS Soil Command™, as the operator adjusts the depth all other functions of the machine automatically adjust with main shank and disk depth adjustments.
Guidance systems are one of the most popular technology additions in the world of farm equipment. From basic accuracy options to pinpoint sub-inch RTK+ guidance, Case IH offers solutions to fit your operation. AFS AccuGuide™ autoguidance delivers repeatable guidance, minimizing skips and overlaps, and maintaining accurate row positioning across different types of terrain and field conditions.
Using software logic from the Case IH Autonomous Concept Vehicle, AFS AccuTurn™ works with AFS AccuGuide to provide hands-free, automatic and repeatable turns to maximize a vehicle’s turning accuracy and overall efficiency.
With the right connectivity technology, producers can take access data from anywhere. AFS Connect™ is designed to make field data easier to collect and interpret. Producers can view every field operation, bringing together data from multiple machines. Agronomic data allows producers to determine solutions to longstanding problems. For instance, yield data across a field can be cross-referenced with its history, which can be used to identify areas for improvement and make better-informed agronomic decisions as a result.