OPTIMIZATION FOR CASH CROP PLANNING USING GENETIC ALGORITHM: A CASE STUDY OF UPPER MUN BASIN, NAKHON RATCHASIMA PROVINCE Patpida Patcharanuntawat Assoc.Prof.

OPTIMIZATION FOR CASH CROP PLANNING USING GENETIC ALGORITHM: A CASE

STUDY OF UPPER MUN BASIN, NAKHON RATCHASIMA PROVINCE

Patpida PatcharanuntawatAssoc.Prof. Kampanad BhaktikulAssoc.Prof. Charlie Navanugraha

Faculty of Environment and Resource StudiedMahidol University

Outline

• Background and Significance of the study

• Genetic Algorithm

• Research Objectives

• Method

• Results

• Conclusions

Background and Significance of the study

• Most people are agriculturist.

• Qualified lands available for agriculture are less.

• Thailand’s agricultural products per rai had tendency to decline.

Agriculture areas

113 million rais

(18.06 million hectare)

321 million rais (51.36 million hectare)

1 hectare = 6.25 rais

Qualified lands available for agriculture

34 million rais

(5.44 million hectare)

Agriculture areas

113 million rais

(18.06 million hectare)

321 million rais (51.36 million hectare)

1 hectare = 6.25 rais

Background and Significance of the study

• Most people are agriculturist.

• Qualified lands available for agriculture are less.

• Thailand’s agricultural products per rai had tendency to decline.

Genetic Algorithm

chromosome

Gene(Decision Variable)

Genetic Algorithm

Chromosomes

Original Species(Parents)

New Species(Offspring)

1. Selection

2. crossover and mutation

3. Replacement

Research Objectives

• To develop the decision-making process in order to finding appropriate cash crops for cultivation- crop type- cultivation area- economic return rate- major soil nutrients loss as fertilizer value

• To compare the finding results with the weight-score method.

11

2m

0j

2

0kijkikiij

n

0 iiii PRAFProdNACPProd MaxZ

Objective Function

Constrain

n

1ijij1 MaxSAR

m

1j

n

1ijij1 MaxSAPIf then

Decision variable was the cultivation area

Methods

1. Data Collection

2. GIS- Soil layer that suitable for cash crops

3. Land suitability for each cash crops (FAO & Weight-score)

4. Comparison of the results (FAO 1985 method and Weight-score method using Genetic Algorithm)

Results

Irrigation Project

Suitable Crops

FAO1985 Weight-Score

Lam Takhong

(ltk)

rice,

sugar cane

corn, soybean,

groundnut,sugar cane

mungbean, tomato

Mun Bon

(mb)

rice,

sugar cane

corn, soybean,

groundnut,sugar cane

mungbean, tomato

Lam Sae

(lc)

rice,

sugar cane

corn, groundnut,

mungbean, tomato

Lam Phraphlong

(lpp)

rice, soybean, groundnut, mungbean, sugar cane

corn, soybean,

groundnut,sugar cane

mungbean, tomato

Suitable crops from GA in dry season

ResultsComparison of maximum profits and soil nutrient loss with the application of FAO 1985 and weight-score in dry season.

Irrigation Project

maximum profits

(millionbaht)

nutrient loss

(millionbaht)

FAO1985 weight-score

FAO1985 weight-score

ltk17

2 30,3 7

4 7 7 6

mb 67 908

1 9 3 9

lc12

4

834 4 1 22

lpp13

6 1,147 4 6 4 4

Results

Irrigation Project

maximum profits

(millionbaht)

nutrient loss

(millionbaht)

FAO1985 weight-score

FAO1985 weight-score

ltk 562

29

4

9 2 108

mb 8 3 13

8

3 2 54

lc31,6 4

8 4 103 31

lpp29,8 7

157 9 2 54

Comparison of maximum profits and soil nutrient loss with the application of FAO 1985 and weight-score in rainy season.

0

500

1000

1500

2000

2500

3000

3500

ltk mb lc lpp

irrigation project

profit (million baht)

FAO1985 (dry season)

weight-score (dry season)

FAO1985 (rainy season)

weight-score (rainy season)

Comparison of maximum profits with the application of FAO 1985 and weight-score.

0

20

40

60

80

100

120

ltk mb lc lpp

irrigation project

nutrient loss (million baht)

FAO1985 (dry season)

weight-score (dry season)

FAO1985 (rainy season)

weight-score (rainy season)

Comparison of soil nutrients loss with the application of FAO 1985 and weight-score.

Conclusions

• FAO1985, dry season was suitable for growing rice and sugar cane, rainy season rice and groundnut should be grown.

• Weight-score, dry season was suitable for growing tomatoes and corns, rainy season rice and corns should be grown.

Temperature

Soil drainage

Effective soil depth

Organic matters

Available phosphorous

Soluble potassium

Soil physical and chemical properties

Cation exchange capacity

Base saturation percentage

Electrical conductivity of saturation

Soil texture

Slope

Moisture availability

Soil physical and chemical properties