Estimating the content of clover and grass in the

Estimating the content of clover and grass in the Estimating the content of clover and grass in the - Start

2016-07-24 54K 54 0 0

Download Presentation

Estimating the content of clover and grass in the




Download Presentation - The PPT/PDF document "Estimating the content of clover and gra..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.



Presentations text content in Estimating the content of clover and grass in the

Slide1

Estimating the content of clover and grass in the sward using a consumer camera and image processing

A. K. Mortensen

1

, H. Karstoft

1

, K. Søegaard

2

and R. N. Jørgensen

1

1

Department of Engineering, Aarhus University

2

Department of

Agroecology

, Aarhus University

Slide2

Outline

Motivation

Test bed and data acquisition

Methodology

Results

Conclusion and future work

Slide3

Motivation

Clover and grass is sown as a catch crop and as a feed crop

However,

it

is unknown how the distribution is in the field

The distribution and total dry matter determines

the N-uptake in the field

As feed for dairy cows

intake

milk yield

Current method is destructive analysis

Labour intensive

Cumbersome

Slide4

Test bed and data acquisition

Plot experiment (2013) near Research

Center

Foulum

, Denmark

Two different seed mixtures:

“Blanding 35”:

perennial ryegrass and white clover

“Blanding 45”:

perennial ryegrass,

festulolium

, red clover and white clover

Photographed and cut on 4 different occasions

Cuts made within 3 days after photograph

Photographed from above

45 images

Dry matter analysis in laboratory

Dry matter: 195 kg/ha

 6111 kg/ha

Clover: 10-72%

Grass: 26-90%

Weed: 0-3%

Slide5

Test bed and data acquisition

Slide6

Test bed and data acquisition

Slide7

Methodology

Slide8

Methodology

Illumination classification

Direct and indirect sun lightHistogram of pixel intensitiesCross correlation used for classification

Slide9

Methodology

Coverage estimationRemove background:Soil, dead plant material and deep shadowsExtract clover leafs:Inverted edge image + erosionGrass:RemainingTrained on patches

Slide10

MEthodology

Transformation of coverage to dry matter distribution

Slide11

Results

Coverage estimation

 

Direct light

 

 

Indirect light

 

Sh

*

So*

G*

C*

F*

W*

 

 

Sh

*

So*

G*

C*

F*

W*

Sh

66%

1%

25%

8%

0%

0%

2955

 

Sh

52%

11%

29%

9%

0%

0%

3934

So

0%

0%

0%

0%

0%

0%

0

 

So

11%

87%

2%

1%

0%

0%

2422

G

9%

0%

73%

17%

0%

0%

4745

 

G

11%

1%

65%

23%

0%

0%

6757

C

13%

0%

39%

48%

0%

0%

6565

 

C

3%

0%

29%

68%

0%

0%

13491

F

30%

20%

46%

4%

0%

0%

254

 

F

18%

0%

77%

5%

0%

0%

79

W

24%

0%

71%

4%

0%

0%

181

 

W

7%

0%

52%

41%

0%

0%

617

∑*

3361

98

6986

4255

0

0

-

 

∑*

3541

2654

9795

11310

0

0

-

Slide12

Results

Dry matter distributionNo correlation between error and mixture, clover dry matter or total dry matter.

 Error (%-points) Absolute error (%-points) MeanStd.MaxMin MeanStd.MaxMinTest set:      Clover-2.19.819.1-15.6 7.95.819.10.0 Grass2.610.417.4-18.7 8.85.718.71.3Training set:      Clover0.012.918.9-50.3 8.69.450.30.2 Grass0.013.551.0-20.7 9.29.751.00.2

Slide13

Conclusion and future work

It is possible with a reasonable accuracy (8-9%-points)

Greatest source of error

Coverage estimation

Room for improvement

Better estimation of coverage

Texture analysis

Illumination invariant model

Include growth models

Time since last harvest

Temperature sum

Available water

Slide14

Slide15

Slide16

Slide17

Slide18

Slide19

Slide20


About DocSlides
DocSlides allows users to easily upload and share presentations, PDF documents, and images.Share your documents with the world , watch,share and upload any time you want. How can you benefit from using DocSlides? DocSlides consists documents from individuals and organizations on topics ranging from technology and business to travel, health, and education. Find and search for what interests you, and learn from people and more. You can also download DocSlides to read or reference later.