New Holland is moving ForageCam from technology demonstration into commercial deployment on its FR Forage Cruiser range, bringing AI-based crop-quality measurement directly into the harvesting process. First shown ahead of Agritechnica 2025, where it received a Silver Innovation Award, the system is now available to order for the 2027 season. A spout-mounted camera continuously analyzes chopped maize as it leaves the harvester, generating a live Kernel Processing Score and comparing crop quality against a target established by the operator.
The more significant capability is the closed-loop response. Rather than simply displaying the KPS, ForageCam can use the measurement to continuously adjust the kernel processor toward the desired result. This potentially reduces the need to over-process crop as an insurance against inadequate kernel cracking, helping balance forage quality against throughput, fuel consumption and processor wear. New Holland stresses that laboratory analysis remains the accuracy benchmark, but ForageCam provides continuous information during harvesting rather than relying on delayed analysis of individual samples.
The technology also extends beyond the cab. KPS information can be displayed through IntelliView IV Plus and subsequently analyzed through reports and field layers in FieldOps, adding forage-processing quality to the growing set of operational data captured during harvesting. Importantly, New Holland says ForageCam will also become available as a retrofit kit for existing FR machines, potentially extending the technology beyond new MY2027 sales and into the installed fleet.
Bottom Line: ForageCam is not a September 2026 technology reveal; New Holland introduced the concept in 2025. What has changed is commercialization. More importantly, the technology illustrates where harvest automation is heading: from measuring machine performance toward measuring the biological quality of the crop and automatically adjusting the machine in response. That closed-loop relationship between sensing, AI and machine control could become an increasingly important competitive frontier in harvesting equipment.
