Drones in agriculture at UC Davis Travis Parker Plant Biology - - PowerPoint PPT Presentation

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Nov 23, 2022 480 likes •734 views

Drones in agriculture at UC Davis Travis Parker Plant Biology Graduate Group LASER, January 31, 2019 Why dr hy drone ones in s in ag? g? -need for increased agricultural production -consumer demand for responsible farm management -farm

SLIDE 1

Drones in agriculture at UC Davis

Travis Parker Plant Biology Graduate Group LASER, January 31, 2019

SLIDE 2

Why dr hy drone

nes in

s in ag? g?

need for increased agricultural production
consumer demand for responsible farm management
farm labor concerns
agriculture will need to rapidly evolve… and

drones are a powerful, rapidly evolving tool

SLIDE 3

What can drones do in agriculture?

Research
Plant breeding
Improving agronomic practices
Precision agriculture
Eye in the sky for farmers
Application of sprays
Fewer recent advances than
ther sectors?

Which of these would you want to grow?

SLIDE 4

Typical UAS workflow for agricultural science:

1. Develop flight plan

SLIDE 5

Typical UAS workflow for agricultural science (cont’d):

2. Collect data
3. Transfer imagery

SLIDE 6

Typical UAS workflow for agricultural science (cont’d):

4. Construct

models

SLIDE 7

What questions can they solve?

SLIDE 8

SLIDE 9

Typical UAS workflow for agricultural science (cont’d):

5. Export to other

programs (e.g. QGIS)

SLIDE 10

Old method: Hand-

cut, dry, bag, weigh each plot individually

New method: Fly

drone, extract data from all plots simultaneously

Example: Alfalfa

SLIDE 11

Takeaway: A few years ago, these results would have been impossible

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True-color Health predicted by true-color Thermal (IR) Health predicted by infrared and true color

+shapefiles for data extraction (different camera)

Sensors and vegetation indices

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y = 1.0915x - 0.111 R² = 0.9708 (drought) y = 1.0984x - 0.1507 R² = 0.9649 (control) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Mean NDVI (Parrot Sequoia) Mean NDVI (RedEdge-M)

Tak akea eaway: Highl ay: Highly y pr prec ecise, ise, rep eprod

ucible, ible, an and d high high- th throu

ghpu put t resu esults lts

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Drones as an educational tool

Felicie elicien Zi Zida da tr trainin aining Lundber Lundberg g Famil amily y Far arms t ms training aining Picnic day booth Picnic day booth

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Drones as an educational tool

Field day demonstration flights with farmers

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PLS 198 student training

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PLS 198 students flying

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M 11am-12pm, W 1pm-4pm Instructor: Travis Parker trparker@ucdavis.edu Instructor of record: Paul Gepts

Unmanned Aerial Vehicles (UAVs) in Agriculture

PLS 198-32, Spring 2019, 2 units CRN: 87027

SLIDE 19

Educa Education and outr tion and outreac each

PLS 198 student groups

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Heirloom (at left) and new variety (right)

KPBS: “A Growing Passion”

SLIDE 21

The future of farming…

SLIDE 22

Summary ry

Agriculture will need major advances in

coming decades

Drones are useful for many different

agricultural applications

Drones collect highly precise, high-

throughput data, which was out of reach just a few years ago

Drones are an excellent tool for engaging

the next generation of innovators

SLIDE 23

Thanks!

This material is also supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number 2016-38640-25383 through the Western Sustainable Agriculture Research and Education program under subaward number 200592-448 [project number GW18-062]. USDA is an equal opportunity employer and service provider. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture."