{"id":5312,"date":"2026-09-16T12:46:04","date_gmt":"2026-09-16T12:46:04","guid":{"rendered":"https:\/\/agridatavalue.eu\/?p=5312"},"modified":"2026-09-16T12:47:44","modified_gmt":"2026-09-16T12:47:44","slug":"from-data-to-field-decisions-agridatavalue-fertilisation-model-enters-practical-testing-in-leek","status":"publish","type":"post","link":"https:\/\/agridatavalue.eu\/index.php\/2026\/09\/16\/from-data-to-field-decisions-agridatavalue-fertilisation-model-enters-practical-testing-in-leek\/","title":{"rendered":"From data to field decisions: AgriDataValue fertilisation model enters practical testing in leek"},"content":{"rendered":"\n
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After three years of development, the AgriDataValue leek fertilisation model is taking an important step from research to practice. In 2026, the model is being tested in a field trial at Inagro, where data from soil, weather and drone observations will be transformed into practical fertilisation advice.<\/p>\n\n\n\n

Putting the model to the test<\/h3>\n\n\n\n

The trial was planted on 2026 and consists of five fertilisation strategies, each repeated four times. By comparing these approaches under the same field conditions, the researchers can assess how well the AgriDataValue model performs against established recommendations and common advisory practice.<\/p>\n\n\n

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The unfertilised plots provide a clear baseline and are expected to show the effect of nitrogen shortage on crop development and yield. Two reference treatments represent current practice: one follows an existing fertilisation model, while the other is based on advice from an Inagro crop adviser. The final two treatments are guided by the AgriDataValue approach. Both received a limited mineral fertiliser application of 50 kg of active nitrogen per hectare in June, after which further decisions are supported by data and model predictions.<\/p>\n\n\n\n

Data collection in the field<\/h3>\n\n\n\n

A nearby weather station continuously provides the meteorological data needed by the model. Soil nitrate samples are needed to know the nitrogen already available to the crop, while drone imagery captures the crop growth and spatial differences in crop growth and development across the trial field.<\/p>\n\n\n\n

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Within AgriDataValue, Siemens uses these inputs to develop machine-learning predictions for key indicators, including biomass at harvest and total nitrogen uptake by the leek crop. The model will translate multiple streams of information into knowledge that can support timely and better-informed decisions.<\/p>\n\n\n\n

Towards fertilisation that balances yield and nitrate losses<\/h3>\n\n\n\n

For Inagro advisers, the trial provides an opportunity to evaluate whether data-driven recommendations can complement their experience and help tailor fertilisation more closely to actual crop needs.<\/p>\n\n\n\n

For farmers, this could mean using nitrogen more efficiently, reducing unnecessary inputs and nitrate leaching to the environment while maintaining crop quality and profitability.<\/p>\n\n\n\n

As the season progresses, the five treatments will be monitored and compared. Yield, crop quality, nitrogen uptake and model accuracy will reveal how the AgriDataValue strategies perform under real field conditions. The results will help refine the model and bring it another step closer to reliable use in leek production.<\/p>\n","protected":false},"excerpt":{"rendered":"

Data collection in the field<\/p>\n","protected":false},"author":3,"featured_media":5313,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"footnotes":""},"categories":[1],"tags":[],"cc_featured_image_caption":{"caption_text":"","source_text":"","source_url":""},"_links":{"self":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/5312"}],"collection":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/comments?post=5312"}],"version-history":[{"count":3,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/5312\/revisions"}],"predecessor-version":[{"id":5319,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/posts\/5312\/revisions\/5319"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/media\/5313"}],"wp:attachment":[{"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/media?parent=5312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/categories?post=5312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agridatavalue.eu\/index.php\/wp-json\/wp\/v2\/tags?post=5312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}