# data[].attributes.body
1 Yellowish powdery lesions
1.shoots
3.coffee
4.infected leaves
5.bare
6.defoliation
7.nodes
8.b
9.A
10.C.
11.E
12.G
13B
14F

# data[].attributes.body
1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 60
5. 288.3 million
6. 267

# data[].attributes.body
1.lession
2.shoots
3.coffee
4.Leaves
5.Bare
6.Defoliation
7.Nodes
8.B
9.A
10.C
11.E
12.G
13.B
14.A

# data[].attributes.body
1. Yellowish powdery lesions
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F
___________________________

1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 600
5. 288.3
6. 267

# data[].attributes.body
1. yellowish powdery lesions
2. green shoots
3. green coffee
4. infected  leaves
5. bare
6. defoliation
7. nodes
8. B
9. A
10. C
11 E
12 G
13 B
14 F
1 30 pounds
2 80 pounds
3 3.70 pounds
4 almost 60
5 288.3
6 267

# data[].attributes.body
1. Yellowish powdery lesions
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 600
5. 288.3
6. 267

# data[].attributes.body
1 lesions
2 shoots
3 coffee
4 leaves
5 bare
6 defoliation
7 nodes
8 B
9 a
10 c
11 e
12 g
13 b
14 f

1 30 pounds
2 80 pounds
3 3,70pounds
4 almost 600
5 288,3
6 267

# data[].attributes.body
1) lesions
2) shoots
3) coffee
4) leaves
5) bare
6) defoliation
7) nodes
8) B
9) A
10) C
11) E
12)G
13)B
14) F

# data[].attributes.body
1. Yellowish Powdery Lesions
2. Shoots
3. Coffee
4. Leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

# data[].attributes.body
1. Yellowish powdery
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 60
5. 288.3
6. 267

# data[].attributes.body
1. Lesions
2. Shoots
3. Coffee
4. Leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

# data[].attributes.body
1: Lesions
2: Shoots
3: Coffee
4: Leaves
5: Bare
6: Defoliation
7: Nodes
8B
9A
10C
11E
12G
13A
14F
Ex2
1: 30 pounds
2: 80 pounds
3: 3.70 pounds
4: almost 600
5: 288.3
6: 267

# data[].attributes.body
1: Lesions
2: Shoots
3: Coffee
4: Leaves
5: Bare
6: Defoliation
7: Nodes
8: B
9: A
10: C
11: E
12: G
13: B
14: F

# data[].attributes.body
1. Yellowish powdery lesions
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

(1) £30
(2) £80
(3) £3.70
(4) £600 million
(5) 5.5 million
(6) 300,000

# data[].attributes.body
1.lesions
2.shoots
3.coffee
4.leaves
5.bare
6.defoliation
7.nodes
8.B
9.A
10.C
11.E
12.A
13.B
14.D

# data[].attributes.body
1. Yellowish powdery lesions
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

# data[].attributes.body
1. Lesions
2. Shoots
3. Coffee
4. Leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

EX2
1. 30 pound
2, 80 pounds
3, 3.7 pounds
4. Almost 600
5. 288,3
6. 267

# data[].attributes.body
1. yellowish powdery lesions
2. green shoots
3. green coffee
4. infected  leaves
5. bare
6. defoliation
7. nodes
8. b
9. a
10. c
11 e
12 g
13 b
14 a

1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 600
5. 288.3
6. 267

# data[].attributes.body
1 lesions
2 shoots
3 coffee
4 leaves
5 bare
6 defoliation
7 nodes
8 B
9 A
10 C
11 E
12 G
13 B
14 F

1)30 pounds
2)80 pounds
3)3.70 pounds
4)almost 600
5)288.3
6)267

# data[].attributes.body
1. lesions
2. shoots
3. coffee
4. leaves
5. bare
6. defoliation
7. nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

ex2:
1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 600
5.288.3
6.267

# data[].attributes.body
1, yellowish powdery lesions
2, shoots
3, Coffee
4, Infected leaves
5, Bare
6, Defoliation
7, Nodes
8, B
9, A
10, C
11, E
12, G
13, B
14, F

1, 30 pounds
2, 80 pounds
3, 3.70 pounds
4, almost 600
5, 288.3
6, 267

# data[].attributes.body
1. lesions
2. shoots
3. coffee
4. leaves
5. bare
6. defoliation
7. nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F

# data[].attributes.body
1.lesions
2.shoots
3.coffee
4.leaves
5.bare
6.defoliation
7.nodes
8.B
9.A
10.C
11.E
12.A
13.b
14.d

1, 30 pounds
2, 80 pounds
3, 3.70 pounds
4, almost 600
5, 288.3
6, 267

# data[].attributes.body
Bài làm
1:lesions
2:shoots
3:coffee
4:Leaves
5:bare
6:defoliation
7:nodes
8:B
9:A
10:C
11:E
12:G
13:A
14:F
1:30 pounds
2:80 pounds
3:3.70 pounds
4:almost 600
5:288.3
6:267

# data[].attributes.body
Coffee rust:
1:lesions
2:shoots
3:coffee
4:Leaves
5:bare
6:defoliation
7:nodes
8:B
9:A
10:C
11:E
12:G
13:A
14:F
Obesity:
1:30 pounds
2:80 pounds
3:3.70 pounds
4:almost 600
5:288.3
6:267

# data[].attributes.body
1 yellowish powdery lesions
2 green shoots
3 green coffee
4 infected leaves
5 bare
6 defoliation
7 nodes
8 b
9 a
10 c
11 e
12 g
13 a
14 f
..........................................................
1 30 pounds
2 80 pounds
3 3.70 pounds
4 almost 60
5 288.3
6 267

# data[].attributes.body
1. Yellowish powdery lesions
2. Shoots
3. Coffee
4. Infected leaves
5. Bare
6. Defoliation
7. Nodes
8. B
9. A
10. C
11. E
12. G
13. B
14. F
-------------------------------
1. 30 pounds
2. 80 pounds
3. 3.70 pounds
4. almost 600
5. 288.3
6. 267

# data[].attributes.body
1. yellowish powdery lesions
2. green shoots
3. green coffee
4. infected  leaves
5. bare
6. defoliation
7. nodes
8. b
9. a
10. c
11 e
12 g
13 b
14 a
1 30 pounds
2 80 pounds
3 3.70 pounds
4 almost 600
5 288.3
6 267