Added value weeding data
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This document discusses a project that aims to create high precision maps of crop size and weed pressure in fields using image processing. The maps would show information on individual plants like number, crop size, and weed density. This could help farmers make better decisions to optimize yield, increasing it by 5% and labor efficiency by 5% while decreasing required labor and fuel use by 5%. The maps would be integrated with farm management information systems and data sharing platforms to enable yield prediction and food traceability improvements. A timeline is provided outlining the minimum viable product releases from April to September 2018 to refine the algorithms and integrate the heat maps.
Added value weeding data
- 1. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 High precision maps of crop size and weed pressure on the field UC4.3. ADDED VALUE WEEDING DATA Coordinators: Erik Pekkeriet, WUR Presenter: Remco van den Berg, Neways This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884
- 2. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 FARM ASSET PRODUCTION FARM PRODUCTION PROCESSING INDUSTRY TRANSPORT RETAILER & END-CONSUMER The Value Chain Crop Map Data Sharing & Exploitation for yield prediction & food traceability
- 3. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 Crop growth during the growing season is highly dependent on climate available inputs. Farmers lack information to make better decisions to optimize the yield. Major Challenge Here is what we aim to improve (KPIs) Crop yield Field images – Take images of the complete field with the Steketee machine. After processing the images data on every plant in the field is available. Crop map – map of the field providing information on the number of plants and crop size on individual plant level. Fuel efficiency Core Product Features Crop Map Farmers Create heat maps of number of plants, crop size and weed pressure in the field. These heat maps can be combined with other data from the field. High precision maps of crop size and weed pressure on the field. Farmers +5% +5% These values derive from comparison of a standard farm’s performance prior to the installation of our system and after. Required labor -5% Product Factsheet SAAS / fee per map 365FarmNet Data Brokerage Efficiency in weed removal +5%
- 4. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 Nr and size of individual crops Weed density on the field Yield mapping Product Impressions
- 5. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 Here is the difference Precision Accuracy Work required Without our Product or Service With our Product or Service Manual crop observations The crop status on the field is registered manually. This needs to be analyzed manually in the office. Generated heat maps of crop The crop status is known on plant level by using image processing. Logging of the crops is done automatically. Target User – Focussed on, but not limited to, organic farmers Increased precision and non-biased results Yield prediction Yield prediction is based on manual observations during the growing season and experience from last years. Weeding activity Moment for weeding is based on manual observations on some parts on the field Yield prediction improvement Combined crop growth and climate information will generate more accurate yield prediction Weeding activity Improved weeding activity by using weed density maps. Fields can by weeded partially. Product User Story
- 6. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 Here is the difference Precision Accuracy Work required Without our Product or Service With our Product or Service Manual crop observations The crop status on the field is registered manually by the farmer. Generated heat maps of crop By image processing the crop status in the field is known on plant level Increased precision and non-biased results Yield prediction Yield prediction is done on manual observations and historical experience Weeding activity Moment for weeding is based on manual observations on some parts on the field Yield prediction improvement Combined crop growth and climate information will generate more accurate yield prediction Weeding activity Improved weeding activity by using weed density maps. Fields can by weeded partially. Product User Story FMISTarget User – Farm Management Information System
- 7. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement №731884 MVP Time Plan September 2018 • Yield map after harvest April 2018 • Crop size map in FMIS • Crop density map in FMIS • Weed pressure map in FMIS July 2018 • Improved algorithms with more precise heat maps May 2018 • Heat maps from weeding machines online on 365FarmNet 2nd MVP 3rd MVP 4th MVP1st MVP
Editor's Notes
- #6: Fot the farmer the main advantage is that data becomes available in an easier understandable format and multiple years can be compared easily As a result the farmer can make better decisions
- #7: Farm management information system suppliers can compare dat of multiple farms and potentially create models on how to optimise weeding. For example when to weed to prevent weeds seeding, or doing localised weeding given the weed heat maps of the previous weeding cycle.