Augmenta field analyzer
The Field Analyzer is an all-in-one plug & play system that combines Near InfraRed (NIR) and 4k imaging with custom AI/ML software accessible through web or mobile applications, and proprietary cloud-based analytics. The proprietary scanning system consists of 2 NIR and 4 close range 4K cameras that capture the multi-spectral composition of the crop. Multi/hyper spectral images detect the specific composition within a leaf, revealing the status and needs of each crop within a field. The system is enclosed in a waterproof aluminium casing and mounted to the front of a tractor. The proprietary cloud-based operational analytics exploit data captured during operations to give real-time statistics and maps of the crop status, stage of growth, and projected yield. The system maximises yield, quality and reduces crop inputs. The AI/ML software continuously improves itself using data collected before, during and after crop treatments are deployed. This makes it a resilient and a long-lasting investment for farmers.
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| Name in original language | Augmenta field analyzer |
| Name in English | Augmenta field analyzer |
| Designer/ manufacturer | RAVEN (CNH Industrial) |
| Accessibility | Sold commercially |
| Weblink | https://www.augmenta.ag/ |
| Countries of primary use | Belgium, Czechia, Poland, Netherlands, Greece, France, Germany, Denmark, Italy, United Kingdom , Ukraine, Spain, Bulgaria, Hungary, Lithuania, Ireland, Serbia, Turkey, Ukraine, Finland, Lithuania, Estonia |
| Main language | English |
| Other languages available | None |
| Brief description of the tool | The Field Analyzer is an all-in-one plug & play system that combines Near InfraRed (NIR) and 4k imaging with custom AI/ML software accessible through web or mobile applications, and proprietary cloud-based analytics. The proprietary scanning system consists of 2 NIR and 4 close range 4K cameras that capture the multi-spectral composition of the crop. Multi/hyper spectral images detect the specific composition within a leaf, revealing the status and needs of each crop within a field. The system is enclosed in a waterproof aluminium casing and mounted to the front of a tractor. The proprietary cloud-based operational analytics exploit data captured during operations to give real-time statistics and maps of the crop status, stage of growth, and projected yield. The system maximises yield, quality and reduces crop inputs. The AI/ML software continuously improves itself using data collected before, during and after crop treatments are deployed. This makes it a resilient and a long-lasting investment for farmers. |
| Target crops | Barley, Beans, Maize, Oilseed rape, Peas, Potatoes, Sorghum, Soybean, Sunflower, Wheat |
| Type of tool | Crop analysis |
| The tool assesses or provides guidance on | NDVI |
| Nutrients assessed | Nitrogen (N) |
| Nutrients assessed in the lab | Not included |
| The tool relies on a base recommendation system | No |
| The assessment frequency should be | Prior to each N application |
| Required data input is | Crop, Farm location |
| The data can be imported from other tools and systems | No |
| The tools main output format is | Value in tool |
| Data can be exported | No |
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Funded by the European Union and UK Research and Innovation (UKRI). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, European Commission or UKRI. Neither the European Union, European Commission nor UKRI can be held responsible for them.
Project Coordinators
Sarah Kendall
sarah.kendall@adas.co.ukSpyros Fountas
sfountas@aua.grheurope.nutrichecknet@gmail.com
Project Partners
