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Precision Agriculture for Food Security and Sustainable Development in China Yuxin Miao China Agricultural University The InfoAg Conference, August 2-4, 2016. St. Louis, USA

Precision Agriculture for Food Security and … · Precision Agriculture for Food Security and Sustainable Development in China Yuxin Miao China Agricultural University The InfoAg

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Precision Agriculture for Food Security and Sustainable Development in China

Yuxin Miao China Agricultural University

The InfoAg Conference, August 2-4, 2016. St. Louis, USA

Chinese Agriculture: Success at High Costs

Pla

stic

Mu

lch

/Pes

tici

de(

10

00

0 t

)

Chemical Fertilizer

Grain Yield

Grain Demand

Planting area

Plastic Mulch

Irrigation Area

Pesticide

Gra

in Y

ield

(1

00

Mt)

\ P

lan

tin

g A

rea

(1

00 M

Ha)

Fert

ilize

r(1

0 M

t) Ir

riga

tio

n A

rea(

10

M h

a)

(Zhang, F., 2014)

Zhang et al., 2015. Nature

Challenges of Chinese Agriculture

Decreasing Nitrogen Use Efficiency

Challenges of Chinese Agriculture

Water Pollution

Strokal et al., 2016. Environmental Research Letters

Challenges of Chinese Agriculture

Water Pollution

135 600

5000

8700

0

2000

4000

6000

8000

10000

1970s 1980s 2000s 2007

Are

a (

km

2)

(Jin, 2009)

China’s area lake eutrophication reached

8700 km2 (2007)

0.2 0.5 4

20

79

0

15

30

45

60

75

90

1960s 1970s 1980s 1990s 2000s

An

nu

al

Nu

mb

er o

f R

ed T

ides

(China State Oceanic Administration, 2009)

(Conley et al., 2009; Science)

N fe

rtiliz

er u

se (T

g N

yr1 )

0

10

20

30

40

50

Live

stoc

k un

it (1

06 hea

ds)

0

100

200

300

400

N Fertilizer

Livestock unit

NH

3 or N

Ox e

mis

sion

(Tg

N y

r-1)

0

2

4

6

8

10

12

14

16

NH

3-N/N

Ox-N

0

1

2

3

4

5NH3

NOx-N

NH3-N/NOx-N

Year

1980 1985 1990 1995 2000 2005 2010

No.

of v

ehic

les (

106 )

0

20

40

60

80

100

Coa

l con

sum

ptio

n (1

09 tons

)

0

1

2

3

4

Motor vehicles

Coal consumption

f

y=2.0010-44 e0.0516x

(n=13, P < 0.001)

y=1.0010-113 e0.1316x

(n=17, P < 0.001)

d

e

y=0.315x-619.21 (n=31, P < 0.001)

y=7.0010-49 e0.0561x

(n=31, P < 0.001)

y= -0.0709x+144.6 (n=31, P < 0.001)

y=0.842x-1, 657.4

(n=31, P < 0.001)

y=8.999x-17, 723

(n=31, P < 0.001)

Air pollution in Beijing

1980s: 13.2 kg N/ha 2000s: 21.1 kg N/ha

60% increase

Challenges of Chinese Agriculture

Air Pollution

Liu et al., 2013. Nature

West et al.,2014 . Science

Leverage Points of Sustainable Development

Challenges of Chinese Agriculture

China’s Policy: Achieve food self-sufficiency in staples (wheat and

rice) against increasing population and consumption patterns

Food Security Per Capita Food Consumption (kg/person) in China since 1980

Lu, et al., 2015. Science Advance

Challenges of Chinese Agriculture

Food

Security Sustainable

Development

Sustainable Intensification

7.8 billion RMB has been invested to cover all agricultural

areas (totally 2498 counties ). The technology has been used

for over 9 million ha cropland

Used area

Project counties

National investment Pro

ject co

un

ties

Natio

nal to

tal inve

stme

nt (1

00

millio

n R

MB

)

The

use

d are

a of STFR

tech

no

logy

(10

0 m

illion

mu

)

National Soil Testing & Fertilizer Recommendation Program (Started from 2005)

(Adapted from Zhang, 2016)

Liu et al., 2016. Environ. Sci. Technol.

Zhang et al., 2015. Nature

Increasing both NUE and Yield

Sustainable Intensification of Agriculture

2013

2011

PNAS | April 19, 2011 | vol. 108 | no. 16 | 6399–6404

Increased yield by 97%

Doubled NUE in maize

(66 field experiments)

2014

Yield Efficiency Environ

Yield >30%

GHG >40%

Large Scale Sustainable Intensification of

Agriculture?

Spatial and temporal optimization of key factors influencing crop yield, profitability and environmental footprint

Is Precision Agriculture a Solution for China?

Gebbers and Adamchuk. 2010. Science; Bongiovanni and Lowenberg-Deboer. 2004. Precision

Agriculture.

Precision Agriculture for Smallholder Farmers?

(Phillips, S. 2014. Better Crops)

Precision Agriculture in China

The First PA Center, 1998, China Agricultural University

National Experiment Station for PA

2002, Beijing

Chinese Academy of Agricultural Sciences

Precision Agriculture Research and Demonstration

Precision crop management can further increase crop yield and nutrient use efficiency and decrease

environmental footprint than regional optimum crop management practices in small scale farming systems, and thus contributing to food security and sustainable

development in China.

FP ROCM (DH) PCM

Hypothesis

Quzhou, Hebei

Small scale (0.3-0.5 ha, 70-80%)

winter wheat/Summer Maize

Different Scales of Farming

Lishu, Jilin

Medium scale (1-2 ha, 10-

20%)

Farmer Cooperativves

Spring Maize

Jiansanjiang, Heilongjiang

Large scale (20-30 ha, 5-10%)

Family Farm

Rice

Implications of Scale for Sustainable Intensification of Agriculture

To manage 20 ha Jiansanjiang

1 Farmer

Lishu

10 Farmers

Quzhou

100 Farmers

95% mechanization 70% mechanization 40% mechanization

WW: 9.9 /5.7 t/ha: 58%

SM: 13.7/7.2 t/ha: 53% 12.0t/ha/8.5 t/ha: 71% 15.1t/ha/9.0 t/ha: 60%

WW: PFP 54/25 kg/kg: 46%

SM: PFP 78/40 kg/kg: 51%

PFP: 100/70-80 kg/kg: 70-

80%

PFP: 69/41 kg/kg: 59%

Precision Nitrogen Management for Sustainable Development

Zhang et al., 2015. Nature

Regional Optimum N Management of Corn

Increase yield by 13%

Decrease GHG 31%

Decrease N rate by 21%

Wu et al., 2014. PLoS ONE

Regional Optimum N Management of Rice

Wu et al., 2015. Environmental Research Letters

Increase yield by 7%

Decrease GHG by 11%

Decrease N rate by 21%

Regional Optimum N Rate (RONR) in North China Plain

180 kg/ha: 60 kg/ha as basal

120 kg/ha as topdressing at stem elongation

Fixed rate and time

Winter Wheat

180 kg/ha: 60 kg/ha as basal

120 kg/ha as topdressing at V9-V10

Summer Maize

In-season N Management OSU RAMP Calibration Strip Technology

(http://nue.okstate.edu/Index_RI.htm) TUM Green Window Approach (GWA)

Increased Yield: 13%;

RE: 11% 46%;

Reduced N rate by 69%. Yue et al., 2015, J. Agric. Sci.

(Chen et al., 2006; Cui et al., 2008;Yue et al., 2013)

Soil Nmin-based In-Season N Management Strategy

On average:

reduce N application by 197 kg ha-1;

In-season N Management

Nitrate test strip

Reflectometer

0

1000

2000

3000

4000

5000

6000

7000

2006 2007

Year

Grain

Yie

ld (

kg h

a-1)

CK

Soil-based

Sensor-based

FP

0

10

20

30

40

50

60

70

80

2006 2007

Year

N U

se E

ffic

ien

cy (

%)

Soil_based

Sensor_based

FP

Li, et al., 2009, SSSAJ

0

100

200

300

400

500

2006 2007

Year

N R

ate

(kg h

a-1)

Soil_based

Sensor_based

FP

GreenSeeker Active Sensor-Based N Management in NCP

Evaluating Different Precision N Management Strategies for the Winter Wheat –Summer Maize Cropping System

Cao et al. (In Preparation)

Precision N Management in North China Plain

Cao et al. (In Preparation)

GreenSeeker and Nitrogen Nutrition Index-based Precision N Management Strategy(NNI-PNM)

Regional Optimum N Rate

(180kg/ha)

Early Season N Application

In-season N Status Diagnosis

(1/3 as basal application)

Deficient Optimum Surplus

Side-dressing N Rate Adjustment

Increased PFP by

67% and 37%

over FP and

RONM,

respectively

Xia, T. 2016.

Increased N PFP by 48%, No significant difference in yield Yao et al., 2012. Agronomy for Sustainable Development

Grain

yield

Adjusted

Yield target

Yield without

topdressing N

追肥增产量

Yield

Response to

Topdressing N

Regional Optimum N Rate

(100-120kg/ha)

Early Season N Application

In-season Adjustment

(45% as basal application) (20% at tillering stage)

Topdressing

N Rate

GreenSeeker Sensor-based Precision N management of Rice

y=-0.0000383x2+0.01x+0.174 x≤131

y=0.829 x>131

R² = 0.819*** n = 1134

0.0

0.2

0.4

0.6

0.8

1.0

0 50 100 150 200 250 300 N

DV

IN uptake (kg N ha-1)

y=0.00000045x2+0.000338x+0.184 x≤3736

y=0.815 x>3736

R² = 0.804*** n =1134

0.0

0.2

0.4

0.6

0.8

1.0

0 3000 6000 9000 12000

ND

VI

Biomass (kg ha-1)

NDVI VS. Plant N Uptake and Biomass

131 kg N ha-1 3736 kg ha-1

y = 0.019e5.799x

R² = 0.89

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

0.0 0.2 0.4 0.6 0.8 1.0

AG

B (

t ha

-1)

NDVI

(a)

V5

V6

V7

V8

V9

V10

y = 0.093x1.338

R² = 0.87

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

0.0 5.0 10.0 15.0 20.0 25.0

AG

B (

t ha

-1)

RVI

(b)

V5

V6

V7

V8

V9

V10

y = 0.64e5.391x

R² = 0.83

0

40

80

120

160

200

0.0 0.2 0.4 0.6 0.8 1.0

PN

U (

kg h

a-1)

NDVI

(a)

V5V6V7V8V9V10

y = 2.629x1.269

R² = 0.84

0

40

80

120

160

200

0.0 5.0 10.0 15.0 20.0 25.0

PN

U (

kg h

a-1)

RVI

(b)

V5

V6

V7

V8

V9

V10

Saturation of GreenSeeker NDVI

(Li et al., 2010, Intel. Auto. Soft Comp.; Yao et al., 2014. JSTAR; Xia et al., 2016. Remote Sensing )

Winter Wheat

Rice

Corn

(Cao et al., 2013, Field Crops Research; Cao et al., 2016. Precision Agriculture)

Overcoming the Saturation Effect of NDVI using Crop Circle Sensor

550 + 20nm

730 + 10nm

760WLP

Developing Crop Circle Sensor-based Precision N Management Strategy for Winter Wheat

(Cao et al., 2016. Precision Agriculture; Yue et al., 2012, Agronomy Journal)

Crop Circle Sensor-based Precision N Management Strategy for Winter Wheat

(Cao et al., 2016, Precision Agriculture)

(Huang et al., 2015, Remote Sensing)

Satellite Remote Sensing-based Rice N Status Diagnosis and Precision Management

450nm (B), 550nm (G), 680nm (R),

720nm (RE), 800nm (NIR), Incident

light Sensor (ILS)

UAV Remote Sensing-based Crop N Status Diagnosis and Precision Management

Digital Image NNI Map

Precision Agriculture for Food Security & Sustainable Development?

Precision Nutrient Management

Precision Water Management

Precision Crop Protection

Gebbers and Adamchuk. 2010. Science 327 (5967), 828-831

Improved Resource Use Efficiencies

Sustainable Development

Food Security

?

Different Scales of Farming

Jiansanjiang, Heilongjiang

Large scale (20-30 ha, 5-10%)

Family Farm

Rice

Large Scale Rice Farming in Jiansanjiang

One household manages an average of 20-30 ha land

95% of field operations are mechanized

Large Scale Rice Farming in Jiansanjiang

Chen et al., 2014, Nature

N PFP

60-70 vs. 30-40 kg kg-1

Implications of Scale for Sustainable Intensification of Agriculture in Heilongjiang

(FAO and China Statistics Yearbook)

High Crop Yield and Resource Use Efficiency in Jiansanjiang Y

ield(

kg/h

a)

PF

P_N

0

10

20

30

40

50

60

70

80

90

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

产量 PFP

World GD HN China HLJ LN HARB JSJ

Soil Testing

Precision N

Management

Optimizing Transplanting

Density

Alternate Drying and Wetting

+

+

+

0

10

20

30

40

50

60

FP HEM HYM PRM

Rec

over

y E

ffic

ien

cy (

%)

Different N Management Strategies

2010

2011

+10%

+63% +89% +97%

6

7

8

9

10

11

12

CK FP OWNM HYM IRM

Different Rice Management Strategies

Gri

an Y

ield

(t ha-1

)

2010

2011

aa

bb

c

6

7

8

9

10

11

12

CK FP OWNM HYM IRM

Different Rice Management Strategies

Gri

an Y

ield

(t ha-1

)

2010

2011

aa

bb

c

HEM PRM

Zhao et al., 2013. Field Crops Research

Integrated Precision Rice Management

(Lu et al., In Preparation )

PRM 1(RORM+PNM): Increased yield by 12 and 5% than FP and RORM, respectively

PRM 2(HY+PNM): Increased yield by 21% and 14 than FP and RORM, respectively ;

PRM(HY+OF+PNM): Increased yield by 23% and 16 than FP and RORM, respectively.

Active Crop Sensor-based Integrated Precision Rice Management Strategies

(Based on results of 2011-2015)

(Lu et al., In Preparation ) (Based on results of 2011-2015)

Crop Sensor-based Integrated Precision Rice Management Strategies

PRM 1(RORM+PNM): Increased RE by 67 and 16% than FP and RORM, respectively

PRM 2(HY+PNM): Increased yield by 74% and 21% than FP and RORM, respectively

PRM(HY+OF+PNM): Increased yield by 86% and 29% than FP and RORM, respectively

+3% +8% +12% +9%

Yield

+30% +28% +43%

+10%

N PFP

UAV RS-based Precision Rice Management increased 12% and 9% yield ,43% and10% N PFP than FP and RORM.

(Lu et al., In Preparation )

Integrated Precision Rice Management System

+

+

Adoption of PA in Chinese Agriculture

1) Small-scale farming

Why Low Adoption of PA?

2) Lack of young and well educated farmers

Why Low Adoption of PA?

3) Manual application

4) Lack of suitable machines

Why Low Adoption of PA?

5) Lack of PA service providing systems

Opportunities for PA in China China’s New Policy: Zero increase in chemical fertilizers

and pesticides after 2020

Opportunities for PA in China The 2016 No. 1 Document of Chinese Government

Support intelligent agriculture and the

application of information technology in

agriculture

Support the development of cooperatives,

and the increase of farming scale

Support agricultural mechanization

Support agricultural service providing systems, and explore and expand

test sites for government to buy agricultural services

Opportunities for PA in China Government investment for big research projects to support

zero increase in chemical fertilizers and pesticides

Integrated Technology Research and Development Program for Chemical fertilizer and Pesticide Application

Reduction and Efficiency Improvement (2016-2020)

Basic research for chemical fertilizer

and pesticide reduction mechanisms

and Limit Standards

Key technologies, products and

equipments

Technology integration and application

42 projects

Opportunities for PA in China Precision Agriculture Service Providing Systems

精准农服科技(北京)有限公司

(Vipfarms Limited)

Thanks