CHN-conduite
Sold commercially
Arvalis Institut du Végétal has been developing since 2017 an integral management tool of nitrogen (N) fertilization in wheat, called « CHN-conduite ». CHN-conduite is based on an innovative coupling between a crop model (« CHN »), and data from satellite sensors to access near real-time diagnostics-prognostics of plant nitrogen status. CHN-conduite does not rely on a forecasted N dose, in favor of a more flexible approach which makes it possible to adjust nitrogen inputs to the real crop needs on the basis of objective criteria, taking into account the particularities of the crop context and the year's climate. It includes daily estimation of soil N and water stocks available for the crop, as well as impacts of N or water deficiency on crop growth. Several elements are considered in the reasoning of the tactical advice, as the notion of minimal nitrogen nutrition index path, and forecasted rainfall for the next 15 days. Real-time access to biophysical variables from sensors (leaf area index and canopy chlorophyll concentration) through digital images, and the ability of the CHN model to integrate this information, offer the opportunity to establish a relevant N rate advice at a intra-field scale.
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Name in original language | CHN-conduite |
Name in English | CHN-conduite |
Designer/ manufacturer | Arvalis |
Accessibility | Sold commercially |
Weblink | https://www.arvalis.fr/sites/default/files/imported_files/ra2020-defi5731922913625834024.pdf |
Countries of primary use | France |
Main language | French |
Other languages available | None |
Brief description of the tool | Arvalis Institut du Végétal has been developing since 2017 an integral management tool of nitrogen (N) fertilization in wheat, called « CHN-conduite ». CHN-conduite is based on an innovative coupling between a crop model (« CHN »), and data from satellite sensors to access near real-time diagnostics-prognostics of plant nitrogen status. CHN-conduite does not rely on a forecasted N dose, in favor of a more flexible approach which makes it possible to adjust nitrogen inputs to the real crop needs on the basis of objective criteria, taking into account the particularities of the crop context and the year's climate. It includes daily estimation of soil N and water stocks available for the crop, as well as impacts of N or water deficiency on crop growth. Several elements are considered in the reasoning of the tactical advice, as the notion of minimal nitrogen nutrition index path, and forecasted rainfall for the next 15 days. Real-time access to biophysical variables from sensors (leaf area index and canopy chlorophyll concentration) through digital images, and the ability of the CHN model to integrate this information, offer the opportunity to establish a relevant N rate advice at a intra-field scale. |
Target user | Advisors |
Target crops | Wheat |
Type of tool | Crop analysis |
The tool assesses or provides guidance on | Green Area Index (GAI), Leaf nutrient content |
Nutrients assessed | Nitrogen (N) |
Nutrients assessed in the lab | N |
The tool relies on a base recommendation system | No |
The assessment frequency should be | Once per week |
Required data input is | Crop, Variety, Farm location, Soil analysis result, Nutrient input, Growth stage, Soil type, Numerous information about the field, mandatory for the use of the CHN crop model : previous crop (Nature, date of harvest, Yied, residue management), Crop management (sowing date, sowing denity, tillage - date and depth -), irrigation (date, amount of each irrigation), etc... |
The data can be imported from other tools and systems | Yes |
The tools main output format is | PDF file |
Data can be exported | Yes |