Overview

Dataset statistics

Number of variables9
Number of observations210
Missing cells420
Missing cells (%)22.2%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory15.3 KiB
Average record size in memory74.6 B

Variable types

Categorical5
Text2
Unsupported2

Dataset

Description조경수목 관리방법에 대한 일반적인 사항(수형관리, 토양관리, 잡초관리, 병해충관리)과 병해충 특성 및 방제법을 수록한 책자 중 농약사용일람표 발췌
Author대구광역시
URLhttps://www.data.go.kr/data/15077735/fileData.do

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
계통 has a high cardinality: 51 distinct valuesHigh cardinality
비고 is highly overall correlated with 사용량High correlation
사용량 is highly overall correlated with 비고High correlation
작물명 is highly overall correlated with 적용병해충High correlation
적용병해충 is highly overall correlated with 작물명 and 1 other fieldsHigh correlation
계통 is highly overall correlated with 적용병해충High correlation
비고 is highly imbalanced (88.7%)Imbalance
Unnamed: 7 has 210 (100.0%) missing valuesMissing
Unnamed: 8 has 210 (100.0%) missing valuesMissing
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:58:07.477813
Analysis finished2023-12-12 10:58:08.941486
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작물명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
감나무
28 
배나무
17 
소나무
15 
복사나무
14 
사과나무
13 
Other values (38)
123 

Length

Max length10
Median length6
Mean length3.4571429
Min length2

Unique

Unique11 ?
Unique (%)5.2%

Sample

1st row소나무
2nd row소나무
3rd row소나무
4th row소나무
5th row소나무

Common Values

ValueCountFrequency (%)
감나무 28
 
13.3%
배나무 17
 
8.1%
소나무 15
 
7.1%
복사나무 14
 
6.7%
사과나무 13
 
6.2%
포도나무 8
 
3.8%
양앵두나무 8
 
3.8%
양버즘나무 7
 
3.3%
뽕나무 6
 
2.9%
국화 6
 
2.9%
Other values (33) 88
41.9%

Length

2023-12-12T19:58:09.088758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
감나무 28
 
13.3%
배나무 17
 
8.1%
소나무 15
 
7.1%
복사나무 14
 
6.7%
사과나무 13
 
6.2%
포도나무 8
 
3.8%
양앵두나무 8
 
3.8%
양버즘나무 7
 
3.3%
뽕나무 6
 
2.9%
국화 6
 
2.9%
Other values (33) 88
41.9%

적용병해충
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
점박이응애
32 
미국선녀벌레
20 
갈색날개매미충
18 
목화진딧물
16 
꽃매미
15 
Other values (26)
109 

Length

Max length10
Median length9
Mean length5.747619
Min length3

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row재선충병
2nd row재선충병
3rd row재선충병
4th row재선충병
5th row재선충병

Common Values

ValueCountFrequency (%)
점박이응애 32
15.2%
미국선녀벌레 20
 
9.5%
갈색날개매미충 18
 
8.6%
목화진딧물 16
 
7.6%
꽃매미 15
 
7.1%
복숭아유리나방 10
 
4.8%
붉은별무늬병 10
 
4.8%
재선충병 9
 
4.3%
솔껍질깍지벌레 8
 
3.8%
버즘나무방패벌레 8
 
3.8%
Other values (21) 64
30.5%

Length

2023-12-12T19:58:09.510900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
점박이응애 32
15.2%
미국선녀벌레 20
 
9.5%
갈색날개매미충 18
 
8.6%
목화진딧물 16
 
7.6%
꽃매미 15
 
7.1%
복숭아유리나방 10
 
4.8%
붉은별무늬병 10
 
4.8%
재선충병 9
 
4.3%
솔껍질깍지벌레 8
 
3.8%
버즘나무방패벌레 8
 
3.8%
Other values (21) 64
30.5%

유효성분
Text

Distinct113
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:58:09.868649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length17.447619
Min length11

Characters and Unicode

Total characters3664
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)35.2%

Sample

1st row메타소듐 액제(25%)
2nd row메탐소듐 액제(42%)
3rd row아바멕틴 유제(1.8%)
4th row아바멕틴 분산성액제(1.8%)
5th row아바멕틴 미탁제(1.8%)
ValueCountFrequency (%)
설폭사플로르 14
 
3.4%
액상수화제(10 14
 
3.4%
아세타미프리드 14
 
3.4%
액상수화제(20 12
 
2.9%
에마멕틴벤조에이트 9
 
2.2%
유제(1 9
 
2.2%
스피로메시펜 9
 
2.2%
액상수화제(7 8
 
1.9%
수화제(8 8
 
1.9%
수화제(20 7
 
1.7%
Other values (149) 311
74.9%
2023-12-12T19:58:10.442322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 234
 
6.4%
) 211
 
5.8%
제 211
 
5.8%
( 211
 
5.8%
206
 
5.6%
수 132
 
3.6%
화 124
 
3.4%
. 101
 
2.8%
0 94
 
2.6%
1 93
 
2.5%
Other values (131) 2047
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2269
61.9%
Decimal Number 429
 
11.7%
Other Punctuation 335
 
9.1%
Close Punctuation 211
 
5.8%
Open Punctuation 211
 
5.8%
Space Separator 206
 
5.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 211
 
9.3%
수 132
 
5.8%
화 124
 
5.5%
로 88
 
3.9%
상 87
 
3.8%
액 85
 
3.7%
아 70
 
3.1%
트 66
 
2.9%
프 65
 
2.9%
리 62
 
2.7%
Other values (113) 1279
56.4%
Decimal Number
ValueCountFrequency (%)
0 94
21.9%
1 93
21.7%
2 82
19.1%
5 61
14.2%
8 28
 
6.5%
7 27
 
6.3%
4 15
 
3.5%
6 12
 
2.8%
3 11
 
2.6%
9 6
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
V 1
33.3%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
% 234
69.9%
. 101
30.1%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Space Separator
ValueCountFrequency (%)
206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2269
61.9%
Common 1392
38.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 211
 
9.3%
수 132
 
5.8%
화 124
 
5.5%
로 88
 
3.9%
상 87
 
3.8%
액 85
 
3.7%
아 70
 
3.1%
트 66
 
2.9%
프 65
 
2.9%
리 62
 
2.7%
Other values (113) 1279
56.4%
Common
ValueCountFrequency (%)
% 234
16.8%
) 211
15.2%
( 211
15.2%
206
14.8%
. 101
7.3%
0 94
6.8%
1 93
 
6.7%
2 82
 
5.9%
5 61
 
4.4%
8 28
 
2.0%
Other values (5) 71
 
5.1%
Latin
ValueCountFrequency (%)
U 1
33.3%
V 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2269
61.9%
ASCII 1395
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 234
16.8%
) 211
15.1%
( 211
15.1%
206
14.8%
. 101
7.2%
0 94
6.7%
1 93
 
6.7%
2 82
 
5.9%
5 61
 
4.4%
8 28
 
2.0%
Other values (8) 74
 
5.3%
Hangul
ValueCountFrequency (%)
제 211
 
9.3%
수 132
 
5.8%
화 124
 
5.5%
로 88
 
3.9%
상 87
 
3.8%
액 85
 
3.7%
아 70
 
3.1%
트 66
 
2.9%
프 65
 
2.9%
리 62
 
2.7%
Other values (113) 1279
56.4%

사용적기 및 방법
Text

Distinct72
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T19:58:10.776930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length11.647619
Min length4

Characters and Unicode

Total characters2446
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)22.9%

Sample

1st row피해목 밀폐후 원액처리
2nd row피해목 밀폐후 원액처리
3rd row1~2월 원액 나무주사
4th row2월 원액 나무주사
5th row2월중순까지 나무주사
ValueCountFrequency (%)
다발생기 80
 
14.0%
경엽처리 49
 
8.6%
발생초기 34
 
5.9%
10일간격 30
 
5.2%
잎당 29
 
5.1%
2~3마리 29
 
5.1%
한 28
 
4.9%
발생시 28
 
4.9%
충분히 23
 
4.0%
약액이 22
 
3.8%
Other values (73) 220
38.5%
2023-12-12T19:58:11.353424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
362
 
14.8%
발 183
 
7.5%
생 162
 
6.6%
기 146
 
6.0%
리 92
 
3.8%
다 82
 
3.4%
초 65
 
2.7%
처 63
 
2.6%
충 52
 
2.1%
엽 49
 
2.0%
Other values (91) 1190
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1851
75.7%
Space Separator 362
 
14.8%
Decimal Number 168
 
6.9%
Math Symbol 34
 
1.4%
Other Punctuation 25
 
1.0%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 183
 
9.9%
생 162
 
8.8%
기 146
 
7.9%
리 92
 
5.0%
다 82
 
4.4%
초 65
 
3.5%
처 63
 
3.4%
충 52
 
2.8%
엽 49
 
2.6%
경 49
 
2.6%
Other values (78) 908
49.1%
Decimal Number
ValueCountFrequency (%)
2 40
23.8%
1 39
23.2%
0 38
22.6%
3 30
17.9%
5 7
 
4.2%
6 6
 
3.6%
4 5
 
3.0%
7 3
 
1.8%
Space Separator
ValueCountFrequency (%)
362
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1851
75.7%
Common 595
 
24.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 183
 
9.9%
생 162
 
8.8%
기 146
 
7.9%
리 92
 
5.0%
다 82
 
4.4%
초 65
 
3.5%
처 63
 
3.4%
충 52
 
2.8%
엽 49
 
2.6%
경 49
 
2.6%
Other values (78) 908
49.1%
Common
ValueCountFrequency (%)
362
60.8%
2 40
 
6.7%
1 39
 
6.6%
0 38
 
6.4%
~ 34
 
5.7%
3 30
 
5.0%
, 25
 
4.2%
5 7
 
1.2%
6 6
 
1.0%
4 5
 
0.8%
Other values (3) 9
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1851
75.7%
ASCII 595
 
24.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
362
60.8%
2 40
 
6.7%
1 39
 
6.6%
0 38
 
6.4%
~ 34
 
5.7%
3 30
 
5.0%
, 25
 
4.2%
5 7
 
1.2%
6 6
 
1.0%
4 5
 
0.8%
Other values (3) 9
 
1.5%
Hangul
ValueCountFrequency (%)
발 183
 
9.9%
생 162
 
8.8%
기 146
 
7.9%
리 92
 
5.0%
다 82
 
4.4%
초 65
 
3.5%
처 63
 
3.4%
충 52
 
2.8%
엽 49
 
2.6%
경 49
 
2.6%
Other values (78) 908
49.1%

사용량
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
물 20ℓ 당 10㎖
61 
물 20ℓ 당 20㎖
40 
물 20ℓ 당 10g
34 
물 20ℓ 당 20g
14 
원액 1㎖/흉고직경 ㎝
11 
Other values (18)
50 

Length

Max length26
Median length11
Mean length11.338095
Min length10

Unique

Unique6 ?
Unique (%)2.9%

Sample

1st row1,000㎡ 당 1ℓ 원액/㎥
2nd row1,000㎡ 당 0.6ℓ/㎥
3rd row원액 1㎖/흉고직경 ㎝
4th row원액 1㎖/흉고직경 ㎝
5th row원액 1㎖/흉고직경 ㎝

Common Values

ValueCountFrequency (%)
물 20ℓ 당 10㎖ 61
29.0%
물 20ℓ 당 20㎖ 40
19.0%
물 20ℓ 당 10g 34
16.2%
물 20ℓ 당 20g 14
 
6.7%
원액 1㎖/흉고직경 ㎝ 11
 
5.2%
원액 0.3㎖/흉고직경 ㎝ 8
 
3.8%
물 20ℓ 당 6.7㎖ 7
 
3.3%
물 20ℓ 당 5㎖ 5
 
2.4%
물 20ℓ 당 25g 4
 
1.9%
물20ℓ 당 10g 3
 
1.4%
Other values (13) 23
 
11.0%

Length

2023-12-12T19:58:11.624368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당 189
23.1%
물 184
22.5%
20ℓ 184
22.5%
10㎖ 61
 
7.5%
20㎖ 40
 
4.9%
10g 37
 
4.5%
㎝ 22
 
2.7%
원액 21
 
2.6%
20g 14
 
1.7%
1㎖/흉고직경 11
 
1.3%
Other values (22) 55
 
6.7%

계통
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct51
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
클로로니코티닐계
22 
네오니코티노이드계
20 
합성피레스로이드계
20 
항생제
18 
설폭시민계
14 
Other values (46)
116 

Length

Max length20
Median length17
Mean length7.1619048
Min length1

Unique

Unique23 ?
Unique (%)11.0%

Sample

1st row<NA>
2nd row<NA>
3rd row항생제
4th row항생제
5th row항생제

Common Values

ValueCountFrequency (%)
클로로니코티닐계 22
 
10.5%
네오니코티노이드계 20
 
9.5%
합성피레스로이드계 20
 
9.5%
항생제 18
 
8.6%
설폭시민계 14
 
6.7%
트리아졸계 11
 
5.2%
테트로닉에시드계 9
 
4.3%
- 8
 
3.8%
다이아마이드계 7
 
3.3%
유기인계 5
 
2.4%
Other values (41) 76
36.2%

Length

2023-12-12T19:58:11.901834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
클로로니코티닐계 22
 
10.5%
합성피레스로이드계 20
 
9.5%
네오니코티노이드계 20
 
9.5%
항생제 18
 
8.6%
설폭시민계 14
 
6.7%
트리아졸계 11
 
5.2%
테트로닉에시드계 9
 
4.3%
8
 
3.8%
다이아마이드계 7
 
3.3%
유기인계 5
 
2.4%
Other values (41) 76
36.2%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
205 
국가표준식물목록 미등재
 
4
세균성구멍병/세균구멍병
 
1

Length

Max length12
Median length4
Mean length4.1904762
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 205
97.6%
국가표준식물목록 미등재 4
 
1.9%
세균성구멍병/세균구멍병 1
 
0.5%

Length

2023-12-12T19:58:12.154199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:58:12.420638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
95.8%
국가표준식물목록 4
 
1.9%
미등재 4
 
1.9%
세균성구멍병/세균구멍병 1
 
0.5%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing210
Missing (%)100.0%
Memory size2.0 KiB

Correlations

2023-12-12T19:58:12.573360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명적용병해충사용적기 및 방법사용량계통비고
작물명1.0000.9760.8260.2510.0000.000
적용병해충0.9761.0000.9680.8290.9610.000
사용적기 및 방법0.8260.9681.0000.9540.9401.000
사용량0.2510.8290.9541.0000.8551.000
계통0.0000.9610.9400.8551.0000.000
비고0.0000.0001.0001.0000.0001.000
2023-12-12T19:58:12.766548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적용병해충비고사용량작물명계통
적용병해충1.0000.0000.3440.6240.523
비고0.0001.0001.0000.0000.000
사용량0.3441.0001.0000.0480.344
작물명0.6240.0000.0481.0000.000
계통0.5230.0000.3440.0001.000
2023-12-12T19:58:12.941643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작물명적용병해충사용량계통비고
작물명1.0000.6240.0480.0000.000
적용병해충0.6241.0000.3440.5230.000
사용량0.0480.3441.0000.3441.000
계통0.0000.5230.3441.0000.000
비고0.0000.0001.0000.0001.000

Missing values

2023-12-12T19:58:08.578727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:58:08.848559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

작물명적용병해충유효성분사용적기 및 방법사용량계통비고Unnamed: 7Unnamed: 8
0소나무재선충병메타소듐 액제(25%)피해목 밀폐후 원액처리1,000㎡ 당 1ℓ 원액/㎥<NA><NA><NA><NA>
1소나무재선충병메탐소듐 액제(42%)피해목 밀폐후 원액처리1,000㎡ 당 0.6ℓ/㎥<NA><NA><NA><NA>
2소나무재선충병아바멕틴 유제(1.8%)1~2월 원액 나무주사원액 1㎖/흉고직경 ㎝항생제<NA><NA><NA>
3소나무재선충병아바멕틴 분산성액제(1.8%)2월 원액 나무주사원액 1㎖/흉고직경 ㎝항생제<NA><NA><NA>
4소나무재선충병아바멕틴 미탁제(1.8%)2월중순까지 나무주사원액 1㎖/흉고직경 ㎝항생제<NA><NA><NA>
5소나무재선충병에마멕틴벤조에이트 유제(2.15%)1~2월 원액 나무주사원액 1㎖/흉고직경 ㎝항생제<NA><NA><NA>
6소나무재선충병에마멕틴벤조에이트 유탁제(2.2%)12~2월 원액 나무주사원액 1㎖/흉고직경 ㎝항생제<NA><NA><NA>
7소나무재선충병에마멕틴벤조에이트 직접살포액제(9.7%)12~2월 원액 나무주사원액 0.3㎖/흉고직경 ㎝항생제<NA><NA><NA>
8소나무재선충병포스티아제이트 액제(30%)성충 비래시기 4월부터 5월초까지 토양관주처리물 20ℓ 당 400㎖, 1ℓ/흉고직경 ㎝유기인계<NA><NA><NA>
9매실나무고약병디티아논.피라클로스트로빈 유현탁제(24%.8%)월동전, 개화직전물 20ℓ 당 10㎖퀴논계+스트로빌루린계<NA><NA><NA>
작물명적용병해충유효성분사용적기 및 방법사용량계통비고Unnamed: 7Unnamed: 8
200잇꽃(홍화)점박이응애플루페녹수론 분산성액제(5%)발생초기 경엽처리물 20ℓ 당 20㎖아실우레아계<NA><NA><NA>
201양앵두나무점박이응애클로르페나피르 액상수화제(10%)한 잎당 2~3마리 발생시 경엽처리물 20ℓ 당 6.7㎖파이롤계<NA><NA><NA>
202배나무점박이응애클로르페나피르 액상수화제(10%)한 잎당 2~3마리 발생시 경엽처리물 20ℓ 당 6.7㎖파이롤계<NA><NA><NA>
203배나무점박이응애아바멕틴.아세타미프리드 미탁제(1.6%.7%)한 잎당 2~3마리 발생시 경엽처리물 20ℓ 당 10㎖항생제+클로로니코티닐계<NA><NA><NA>
204사과나무점박이응애아바멕틴.아세타미프리드 미탁제(1.6%.7%)한 잎당 2~3마리 발생시 경엽처리물 20ℓ 당 10㎖항생제+클로로니코티닐계<NA><NA><NA>
205장미점박이응애아바멕틴.아세타미프리드 미탁제(1.6%.7%)발생초기 경엽처리물 20ℓ 당 6.7㎖항생제+클로로니코티닐계<NA><NA><NA>
206사과나무점박이응애피플루뷰마이드 액상수화제(10%)한 잎당 2~3마리 발생시물 20ℓ 당 10㎖카복사닐리드계<NA><NA><NA>
207배나무점박이응애피플루뷰마이드 액상수화제(10%)한 잎당 2~3마리 발생시물 20ℓ 당 10㎖카복사닐리드계<NA><NA><NA>
208감나무점박이응애피플루뷰마이드 액상수화제(10%)한 잎당 2~3마리 발생시물 20ℓ 당 10㎖카복사닐리드계<NA><NA><NA>
209복사나무점박이응애피플루뷰마이드 액상수화제(10%)한 잎당 2~3마리 발생시물 20ℓ 당 10㎖카복사닐리드계<NA><NA><NA>

Duplicate rows

Most frequently occurring

작물명적용병해충유효성분사용적기 및 방법사용량계통비고# duplicates
0소나무솔껍질깍지벌레에마멕틴벤조에이트 유제(2.15%)후약충기 나무주사원액 1㎖/흉고직경 ㎝항생제<NA>2