Croptune
Croptune combines image analysis big data & cloud computing, to recognize nutritional deficiencies in real time. Croptune uses images taken with any smart-phone with machine-learning and big data to calculate nutrient uptake, then used to provide fertilisation recommendations.
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| Name in original language | Croptune |
| Name in English | Croptune |
| Designer/ manufacturer | Agri I.O.T. LTD |
| Accessibility | Sold commercially |
| Weblink | https://play.google.com/store/apps/details?id=com.onedigital.agriot_app&hl=en&gl=US |
| Countries of primary use | Greece, United Kingdom |
| Main language | English |
| Other languages available | None |
| Brief description of the tool | Croptune combines image analysis big data & cloud computing, to recognize nutritional deficiencies in real time. Croptune uses images taken with any smart-phone with machine-learning and big data to calculate nutrient uptake, then used to provide fertilisation recommendations. |
| Target crops | Maize, Potatoes, Wheat |
| Type of tool | Online tool/app |
| The tool assesses or provides guidance on | RBG imagery |
| Nutrients covered | Nitrogen (N), Phosphorus (P), Potassium (K), Other macro nutrients (S, Mg, Ca), Micro nutrients (B, Cl, Cu, Fe, Mn, Mo, Zn) |
| The tool relies on a base recommendation system | No |
| The assessment frequency should be | No stipulation |
| Required data input is | RGB images, Farm location, Crop |
| The data can be imported from other tools and systems | Yes |
| The tools main output format is | Value in tool |
| Data can be exported | No |
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
