We provide advanced crop & imagery analytics to farmers by ...€¦ · POTATO SOYBEAN SUGAR BEET...

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CANADA 2020

Transcript of We provide advanced crop & imagery analytics to farmers by ...€¦ · POTATO SOYBEAN SUGAR BEET...

Page 1: We provide advanced crop & imagery analytics to farmers by ...€¦ · POTATO SOYBEAN SUGAR BEET SUGAR CANE SUN FLOWER LETTUCE COTTON. PURPOSE USER CASE This map quantifies vegetation

CANADA2020

Page 2: We provide advanced crop & imagery analytics to farmers by ...€¦ · POTATO SOYBEAN SUGAR BEET SUGAR CANE SUN FLOWER LETTUCE COTTON. PURPOSE USER CASE This map quantifies vegetation

We provide advanced crop & imagery analytics to farmers by using drones, satellites and machine learning (ML).

World leading drone/satellite and machine learning player in the U.K. and Europe

3.2x revenue growth (2019 & 2020)

64 in core team: 15 Data Scientists, 20 Engineers, 4 Agronomists & 5 Ops Specialists

Over 250 customers across 8 countries

Proven ROI through targeted inputs

More than 90% customer retention

Sophisticated analytic solutions across multiple crop types

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Hummingbird’s software applies Machine Learning science to satellite, plane and drone imagery in order to help farmers and the Agricultural supply chain to:

PROTECT AND INCREASE YIELDS

OPTIMISE INPUTS (E.G CHEMICALS, WATER, SEED)

MAKE EARLIER AND BETTER DECISIONS

BE MORE SUSTAINABLE

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DATA IS COLLECTED FROM SATELLITES, PLANES, DRONES & ROBOTS

CROP HEALTH

DISEASE RISK

CORRECTED IMAGE

NITROGEN APPLICATION

MACHINE LEARNING

SHAPEFILES PLUGGED STRAIGHT INTO THE FARMING EQUIPMENT

BIOMASS & HEIGHT

SOIL MAP & HISTORIC YIELD

RAW IMAGE

OUR PROCESS

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CANADA

USA

BRAZIL

UKRAINE

UK

RUSSIA

AUSTRALIA

HUMMINGBIRD’SCOMMERCIAL OPPORTUNITIES...

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CSO

ADVISOR - AGRONOMY

OUR SENIOR CANADIAN TEAM

WILL WELLSCEO

AARON BEYDOUN

TOM GREENCHAIRMAN

KIP PENDLETONBOARD ADVISOR

KEITH NORMAN

BRIAN CUMMINGS

HEAD OF CANADA

KOLBY NICHOL

HEAD OF GROWTH

Hummingbird Global Staff

● 15 Data Scientists● 4 Agronomists● 20 Engineers● 5 Operations Staff

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2020CANADIAN CAPABILITIES

NDVI, Variability, Benchmarking

Seeding

Nutrition - VRN

Plant Protection - PGR

Plant Protection - Herbicide

Desiccation

Plant Protection - Fungicide

Plant Counting, Sizing, Grading

Gap Detection, Line Reconstruction

Crop Style Classification*

Yield Prediction, Yield Potential*

WHEAT BARLEY OSR /CANOLA

MAIZE (GRAIN)

MAIZE (FORAGE)

POTATO SOYBEAN SUGAR BEET

SUGAR CANE

SUN FLOWER

LETTUCE COTTON

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PURPOSE

USER CASE

This map quantifies vegetation by measuring the difference between near- infrared (reflected by healthy vegetation) and red light (absorbed by healthy vegetation).

The map gives you a total overview of the crop, compared to a view from the side of the field, and frequently shows variability during its growing cycle. Using this map, you can make precise and accurate decisions to help consistently improve your crop and prioritise areas that need further attention from your agronomists or field scouts.

We use our own NDVI transformation, rather than that of the photogrammetry software, in order to maintain robust radiometric calibration for comparison against other image sources.

The maps provided real insight to what was happening within the field and highlighted areas where we need to improve things like soil structure, nutritional indices and drainage.

SUBJECT TO CLOUD COVER, YOU WILL RECEIVE AN IMAGE EVERY WEEK

SENTINEL 2 SATELLITE IMAGE AT 10M GSD

HOW IT WORKS

BENEFITS & VALUE

NDVI - WHEAT, CANOLA, BARLEY

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This map identifies the variation of growth rate within a field.

Crop variability tracks the rate of development and identify areas of the field that require field scouts’ attention for further investigation. Furthermore, use of remote sensing removes the human subjectivity from crop walking.

USER CASEThis map is based on the rate of change in NDVI over time, identifying the best and worst performing areas of the field. We use a proprietary method to remove the reflectance contribution of the soil.

A farmer is able to identify areas that have been damaged by weather events such as frost, hurricanes, flooding and drought. It’s useful to be able view the damage in relation to the rest of the paddock. NB the satellite offering does not include damage from hail (which can be detected via UAV analysis).

PURPOSE BENEFITS & VALUE

HOW IT WORKS

CROP VARIABILITY - WHEAT, CANOLA, BARLEY

A CROP VARIABILITY MAP IS PROVIDED EVERY MONTH

IMAGING PLATFORM: SATELLITE IMAGE, GSD: 10M, SPECTRAL RESOLUTION: MULTISPECTRAL

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Use this tool to vary the amount of nitrogen rates in accordance with your crop requirement to avoid over / under supplying Nitrogen and precision target specific areas, optimising your return on investment. Whether your decision is based on plant numbers, tiller numbers, canopy assessment, plant health, you now have scientific data to accurately dictate what specific areas receive, in terms of nitrogen.

This map identifies areas that need more or less fertiliser in the crop.

HOW IT WORKS

BENEFITS & VALUEUSER CASER CASEAs a grower of malting barley we are always conscientious of nitrogen rates applied to our barley and the implication of exceeding our customers specifications on grain nitrogen. Through this tool we were able to evaluate the crop and apply what we thought was appropriate across the field. This resulted in a higher than average yield but also a sample that was consistent and below our customers specification

The application plan is constructed on NDVI measurement of the field with higher volumes of nitrogen applied on areas with lower NDVI values and vice versa.

VARIABLE RATE MAPS — NITROGEN, FUNGICIDE, DESICCATION

PURPOSE

LIVE PLATFORM

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This product provides an in-season prediction for expected yield at varying spatial resolutions, ranging from field-level to national level.

Understanding the crop production volume of a region months before harvest, gives our customers valuable time to make informed decisions, helping them to optimize their operations, strengthen their arbitrage planning, predict local cash market prices and streamline their financial assessment.

Our predictions are derived by using parameters such as historic yield information, soil and weather data to calibrate advanced phenological crop growth models. Data assimilation techniques are then used to further improve accuracy by combining insights observed from satellite imagery with the output of the numerical model.

PURPOSE BENEFITS & VALUE

HOW IT WORKS

Prediction average (t/ha): 6.75

YIELD PREDICTION - WHEAT, CANOLA, BARLEY

A YIELD PREDICTION IS PROVIDED c.60 AND 30 DAYS BEFORE HARVEST

IMAGING PLATFORM: SATELLITE IMAGE, GSD: 10M,

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[email protected]

UK - AUSTRALIA - BRAZIL - CANADA - RUSSIA - UKRAINE