Data Fusion in Agriculture Hands on Solutions for farmers and - - PowerPoint PPT Presentation

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Data Fusion in Agriculture Hands on Solutions for farmers and - - PowerPoint PPT Presentation

Dec 29, 2022 124 likes •380 views

AgriCircle Data Fusion in Agriculture Hands on Solutions for farmers and Scientists Peter Frhlich August 2016 1 AgriCircle Vision Technology to produce more and healthier Food For Farmers Financial Success Subsistence

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AgriCircle

Data Fusion in Agriculture

Hands on Solutions for farmers and Scientists

Peter Fröhlich August 2016

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More Yield

AgriCircle Vision

Technology to produce more and healthier Food

Less Emissions

For Farmers

  • Financial Success
  • Subsistence
  • Less area needed to

grow Food for people

  • Sustainability
  • Measurable decrease of

Emissions in air, water and soil per qty. of Food

  • Better Nutrition
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The AgriCircle Tool

Easy to use GIS-Field Management as base

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The AgriCircle Tool

Datasets linked to AgriCircle by End of 2016

Satellite Data (Sentinel 2) Weather Data (10 Years + 14days) Emission Data Remote Sensing (GeoTIFFs) Maschinery Data Farmers Data

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AgriCircle Innovation

Current Projects at AgriCircle

Quality improvement in vineyards

  • All projects are related to agronomy
  • We are working on the foundation to be able to plan and schedule robotic tasks
  • We work on an ICT-AGRI-Project in robotics in Europe that is focused on sensor fusion

Optimal application

  • f crop protection

Easier ensurance in agriculture ESA – revolutionary soil data

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Project Goals

Less Emissions

  • Development of an integrated system for targeted quality guidance in viticulture thanks to the usage
  • f the most innovative hardware and software
  • Creation of the basis for early detection of water stress and disease patterns
  • Identification of first new insights for the optimization of input application for the improvement of yield

and taste

  • Start of data collection for step wise optimization of harvest time and leaf-wall management

Higher Yield Constant Quality

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Benefits

Detect and Visualize the Invisible

1) Third Dimension

Surface Covering and highly resoluted Aerial Overview. Fast detection and correction of management failures (from winter cutting to harvesting).

2) Early Detection (before the human eye detects it)

Hyperspectral Images have a higher spectrum than the human eye. Diseases and stresses are detected earlier.

3) Changes over Time

Thanks to the data illustration on the AgriCircle Platform we create a temporal

  • verview and show new insights

Hyperspectral Images enable conclusions for further factors which influence vine up to its taste Water Stress can be made visible (Red points on the field)

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Primary Optimization Goals:

  • Harvest Point
  • Leaf-wall Management
  • Quantity Regulation
  • Irrigation

Secondary Optimization Goals:

  • Soil Management
  • Root cutting
  • Temporary Greening
  • Fertilisation
  • Plant Protection
  • Vine Cutting

Systematic Management of Wine Quality

  • Carotin
  • Terpene
  • Pyracine
  • Anthocyan
  • Glycoside
  • Acid
  • Sugar
  • pH

More Constant Flavour Profile

Goal: Active crop management for constant wine quality

Measure Optimize

Süsse

Influence

  • Hyperspectral Image
  • Leaf-wall volume
  • Pest & Vitality (Leaf

Colour)

  • Chlorophyll

Manage Action Steps

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AgriCircle Innovation

What we are currently doing to get there

Scan Vineyard with Hyperspectral Cam

  • In all cases we work with specialists and have established development and business

partnerships

  • We are currently producing THE vineyard with the most complete dataset on the planet

Collect data vertically with caterpillar Crop assessments on the ground Chemical analysis of grapes and leafs

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AgriCircle Innovation

Hyperspectral Camera and Drone Solution

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AgriCircle Innovation

Optimal application of Crop Protection Products

Interface for application map exchange with machinery and other FMIS Data and insights from latest Satellite technology Calculation of field variance and application map Crop models for PGR application rate and timing based on FMIS data and biomass

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  • The first use case is around PGR-application
  • The project includes remote sensing data and ground truth data
  • The whole solution is around easy to use for farmers
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AgriCircle Innovation

Project Pillars

Satellite process chain and data correction

  • The data process chain will provide access to all spectral bands of Copernicus
  • The system creates a base for other global products and uses to be built
  • The data shall be available for free for research projects and partners
  • A first choice of different crop indices shall be provided

Calculation of crop vitality and variance

  • AgriCircle and specialists from ETH Zürich will calculate crop vitality and variance
  • Different indices will be tracked over time
  • Crop variance will be shown per field and area

PGR Algorithm

  • The algorithm will combine remote sensing, ground truth and other datasets like

weather and more

  • Datasets have been collected for more than 5 years

Easy to use System

  • AgriCircle connects machines via ISOBUS that allows to send application maps to

the tractor independent of its brand

  • The platform will also offer a REST API to connect via another FMIS and to provide

access to other 3rd parties (f.e. in R&D)

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Approach and Results – Work Stream 1

Overview work stream 1

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Storage of indexed file images:

  • One index for

Germany

  • Approx. 20 pics per

field and year t Farmer requests data for his fields 1) Process Satellite Image 2) Atmospheric and cloud corrections 3) Calculation of indexed file image used for PGR modelling Indexed satellite image series is loaded to FMIS for relevant fields

Sentinel 2 data interface

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Approach and Results – Work Stream 2

Overview work stream 2

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S2 index file series with :

  • Field shape
  • Indexed satellite image over time

Is used in combination with drone field trial data for PGR application t Correlate index with crop vitality is modeled based on gathered data. Based on vitality variance (in %) is calculated

Calculation of crop vitality and variance

Variance is display in GIS- application map as a shape file

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Approach and Results – Work Stream 3

Overview work stream 3

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Trial-data for PGR that includes:

  • Crop & Variety drilled
  • Drilling date
  • Fertilizer applied
  • Fertilizer planned
  • Crop Protection applied
  • Soil type and pH
  • BBCH

AgriCircle application map includes:

  • Field shape
  • S2 index files
  • Application Variance

(0- 100%) (WS2) AgriCircle historic weather data

  • Temp. Sum
  • Soil Temp. Sum
  • Sunshine hours (Sum)
  • Rain Sum

PGR-Algorithm that uses local as well as remote sensing data

Crop models for PGR application

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Approach and Results – Work Stream 4

Overview work stream 4

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Integration of PGR algorithm into AgriCircle and connect it with application map Shape-ISOXML converter that allows to transfer application map

Platform Integration and interface for application map exchange

Output:

Application Map with:

  • Dosage
  • Variety

Input:

  • Crop
  • Drilling date
  • Fertilizer applied
  • Crop Protection

applied

  • Soil type
  • pH
  • BBCH

Open Interface to other FMIS

Algorithm Integration Conversion to ISOBUS Format Interface to Tractor and other FMIS

Universal logger box allows machine independent use

  • f application map
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AgriCircle Innovation

Innovation partnerships

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AgriCircle Innovation

Innovation partnerships – EnMAP - HyperspecSat

  • Full range VNIR/SWIR (420 nm –

2450 nm) satellite imaging spectrometer for quantitative surface parameter retrieval

  • Frequent coverage for monitoring
  • n global basis
  • Pixelsize: 30 m
  • Repeat cycle of 27 days
  • ± 30°off-nadir pointing for

frequent revisit (≤ 4 days )

  • GFZ scientific PI supported by

international science team

  • Launch in 2018
  • Further hyperspectral missions in planning: HISUI, SHALOM, HySPIRI, PRISMA
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Phenotyping – With first of its kind trial site

AgriCircle Innovation Continuous scans for agronomic purposes for more than 5 years

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AgriCircle Innovation

Knowing what Indices to be used for which Situation

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AgriCircle

What makes us different

1

First truly geo-based farm management system that allows farmer to view and track activities based on agronomy in the field

2

First farm management tool that tracks CO2 emissions in the field

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High innovation drive combined with a very competitive cost structure

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Connects data to optimize yields and saves costs through more precise application of crop protection, fertilizer and seeds Independent from any large player or industry

Platform Organization

Farmer centered product focus that puts agronomy first

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Collaboration

How is this relevant to me

  • 1. We can deliver the agronomy to schedule robotic tasks
  • 2. We do partner in innovation with other companies and know different

funding schemes in Europe

  • 3. We will provide APIs for development linked to our portal soon – Just ask

what you need

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Contacts

Peter Fröhlich CEO MBA-HSG, Ing. Agr. FH T: +41 79 871 99 88 peter.froehlich@agricircle.com Daniel Markward COO, Chairman MBA-HSG T: +41 79 227 98 24 daniel.markward@agricircle.com AgriCircle AG Herrenberg 35 CH-8640 Rapperswil www.agricircle.com

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Q&A