Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
9994 | 1100 | 24.6 | 53% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
10 | 4 | OPTICS//PHYSICS, PARTICLES & FIELDS//PHYSICS, MULTIDISCIPLINARY | 1131262 |
311 | 3 | SERS//SURFACE ENHANCED RAMAN SCATTERING//CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 40151 |
322 | 2 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS//NEAR INFRARED SPECTROSCOPY//JOURNAL OF CHEMOMETRICS | 18229 |
9994 | 1 | ELLIPTIC FOURIER DESCRIPTORS//SINGLE SEED//CEREAL GRAIN CLASSIFICATION | 1100 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | ELLIPTIC FOURIER DESCRIPTORS | authKW | 353529 | 2% | 58% | 22 |
2 | SINGLE SEED | authKW | 297397 | 1% | 71% | 15 |
3 | CEREAL GRAIN CLASSIFICATION | authKW | 249821 | 1% | 100% | 9 |
4 | SINGLE KERNEL | authKW | 167925 | 1% | 55% | 11 |
5 | AUTOMATED GRAIN GRADING | authKW | 138789 | 0% | 100% | 5 |
6 | MACHINE VISION | authKW | 118235 | 7% | 6% | 75 |
7 | INTERNAL INFESTATION | authKW | 115656 | 0% | 83% | 5 |
8 | AUTOMATED KERNEL GRADING | authKW | 111031 | 0% | 100% | 4 |
9 | SINGLE KERNEL ANALYSIS | authKW | 111031 | 0% | 100% | 4 |
10 | NEAR INFRARED HYPERSPECTRAL IMAGING | authKW | 89924 | 1% | 36% | 9 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Agricultural Engineering | 27860 | 20% | 0% | 225 |
2 | Food Science & Technology | 9514 | 34% | 0% | 375 |
3 | Chemistry, Applied | 4160 | 19% | 0% | 206 |
4 | Agriculture, Multidisciplinary | 3472 | 12% | 0% | 132 |
5 | Agronomy | 1976 | 12% | 0% | 129 |
6 | Horticulture | 1284 | 6% | 0% | 64 |
7 | Spectroscopy | 533 | 7% | 0% | 73 |
8 | Plant Sciences | 356 | 9% | 0% | 103 |
9 | Computer Science, Interdisciplinary Applications | 244 | 5% | 0% | 51 |
10 | Entomology | 195 | 4% | 0% | 40 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | DIPARTIMENTO SCI VITA AMBIENTE DISCIVA | 83274 | 0% | 100% | 3 |
2 | GRAIN MKT PROD | 72429 | 3% | 8% | 33 |
3 | KBC HUSET | 69390 | 0% | 50% | 5 |
4 | CANADA CHAIR STORED GRAIN ECOSYST | 62454 | 0% | 75% | 3 |
5 | ENGN UNIT | 60754 | 1% | 24% | 9 |
6 | BIOSYST ENGN | 60507 | 7% | 3% | 73 |
7 | AGRON PLANT BREADING | 55516 | 0% | 100% | 2 |
8 | AGRI FOOD PROC ENGN | 55508 | 1% | 33% | 6 |
9 | FO T SEED SCI | 53374 | 0% | 38% | 5 |
10 | UNIT BIOMASS TECHNOL CHEM | 40769 | 1% | 11% | 13 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | JOURNAL OF NEAR INFRARED SPECTROSCOPY | 36757 | 3% | 4% | 32 |
2 | TRANSACTIONS OF THE ASAE | 36140 | 9% | 1% | 94 |
3 | CEREAL CHEMISTRY | 32000 | 7% | 2% | 72 |
4 | COMPUTERS AND ELECTRONICS IN AGRICULTURE | 22826 | 4% | 2% | 45 |
5 | BIOSYSTEMS ENGINEERING | 17158 | 3% | 2% | 38 |
6 | APPLIED ENGINEERING IN AGRICULTURE | 14701 | 3% | 2% | 31 |
7 | PLANT VARIETIES AND SEEDS | 13650 | 1% | 6% | 8 |
8 | JOURNAL OF CEREAL SCIENCE | 12119 | 3% | 1% | 35 |
9 | JOURNAL OF STORED PRODUCTS RESEARCH | 8104 | 2% | 1% | 22 |
10 | TRANSACTIONS OF THE ASABE | 7129 | 2% | 1% | 24 |
Author Key Words |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
LCSH search | Wikipedia search |
---|---|---|---|---|---|---|---|
1 | ELLIPTIC FOURIER DESCRIPTORS | 353529 | 2% | 58% | 22 | Search ELLIPTIC+FOURIER+DESCRIPTORS | Search ELLIPTIC+FOURIER+DESCRIPTORS |
2 | SINGLE SEED | 297397 | 1% | 71% | 15 | Search SINGLE+SEED | Search SINGLE+SEED |
3 | CEREAL GRAIN CLASSIFICATION | 249821 | 1% | 100% | 9 | Search CEREAL+GRAIN+CLASSIFICATION | Search CEREAL+GRAIN+CLASSIFICATION |
4 | SINGLE KERNEL | 167925 | 1% | 55% | 11 | Search SINGLE+KERNEL | Search SINGLE+KERNEL |
5 | AUTOMATED GRAIN GRADING | 138789 | 0% | 100% | 5 | Search AUTOMATED+GRAIN+GRADING | Search AUTOMATED+GRAIN+GRADING |
6 | MACHINE VISION | 118235 | 7% | 6% | 75 | Search MACHINE+VISION | Search MACHINE+VISION |
7 | INTERNAL INFESTATION | 115656 | 0% | 83% | 5 | Search INTERNAL+INFESTATION | Search INTERNAL+INFESTATION |
8 | AUTOMATED KERNEL GRADING | 111031 | 0% | 100% | 4 | Search AUTOMATED+KERNEL+GRADING | Search AUTOMATED+KERNEL+GRADING |
9 | SINGLE KERNEL ANALYSIS | 111031 | 0% | 100% | 4 | Search SINGLE+KERNEL+ANALYSIS | Search SINGLE+KERNEL+ANALYSIS |
10 | NEAR INFRARED HYPERSPECTRAL IMAGING | 89924 | 1% | 36% | 9 | Search NEAR+INFRARED+HYPERSPECTRAL+IMAGING | Search NEAR+INFRARED+HYPERSPECTRAL+IMAGING |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | AGELET, LE , HURBURGH, CR , (2014) LIMITATIONS AND CURRENT APPLICATIONS OF NEAR INFRARED SPECTROSCOPY FOR SINGLE SEED ANALYSIS.TALANTA. VOL. 121. ISSUE . P. 288 -299 | 87 | 73% | 13 |
2 | RAHMAN, A , CHO, BK , (2016) ASSESSMENT OF SEED QUALITY USING NON-DESTRUCTIVE MEASUREMENT TECHNIQUES: A REVIEW.SEED SCIENCE RESEARCH. VOL. 26. ISSUE 4. P. 285 -305 | 89 | 64% | 0 |
3 | HUANG, M , WANG, QG , ZHU, QB , QIN, JW , HUANG, G , (2015) REVIEW OF SEED QUALITY AND SAFETY TESTS USING OPTICAL SENSING TECHNOLOGIES.SEED SCIENCE AND TECHNOLOGY. VOL. 43. ISSUE 3. P. 337 -366 | 74 | 58% | 2 |
4 | POJIC, MM , MASTILOVIC, JS , (2013) NEAR INFRARED SPECTROSCOPY-ADVANCED ANALYTICAL TOOL IN WHEAT BREEDING, TRADE, AND PROCESSING.FOOD AND BIOPROCESS TECHNOLOGY. VOL. 6. ISSUE 2. P. 330-352 | 65 | 56% | 24 |
5 | FOX, G , MANLEY, M , (2014) APPLICATIONS OF SINGLE KERNEL CONVENTIONAL AND HYPERSPECTRAL IMAGING NEAR INFRARED SPECTROSCOPY IN CEREALS.JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE. VOL. 94. ISSUE 2. P. 174-179 | 39 | 76% | 9 |
6 | HOSSAIN, MZ , GOTO, T , (2014) NEAR- AND MID-INFRARED SPECTROSCOPY AS EFFICIENT TOOLS FOR DETECTION OF FUNGAL AND MYCOTOXIN CONTAMINATION IN AGRICULTURAL COMMODITIES.WORLD MYCOTOXIN JOURNAL. VOL. 7. ISSUE 4. P. 507 -515 | 36 | 69% | 10 |
7 | YU, HW , WANG, Q , LIU, L , SHI, AM , HU, H , LIU, HZ , (2016) RESEARCH PROCESS ON HYPERSPECTRAL IMAGING DETECTION TECHNOLOGY FOR THE QUALITY AND SAFETY OF GRAIN AND OILS.SPECTROSCOPY AND SPECTRAL ANALYSIS. VOL. 36. ISSUE 11. P. 3643 -3650 | 31 | 76% | 0 |
8 | MEBATSION, HK , PALIWAL, J , JAYAS, DS , (2012) EVALUATION OF VARIATIONS IN THE SHAPE OF GRAIN TYPES USING PRINCIPAL COMPONENTS ANALYSIS OF THE ELLIPTIC FOURIER DESCRIPTORS.COMPUTERS AND ELECTRONICS IN AGRICULTURE. VOL. 80. ISSUE . P. 63-70 | 23 | 92% | 25 |
9 | ZAPOTOCZNY, P , (2011) DISCRIMINATION OF WHEAT GRAIN VARIETIES USING IMAGE ANALYSIS AND NEURAL NETWORKS. PART I. SINGLE KERNEL TEXTURE.JOURNAL OF CEREAL SCIENCE. VOL. 54. ISSUE 1. P. 60-68 | 24 | 92% | 16 |
10 | VITHU, P , MOSES, JA , (2016) MACHINE VISION SYSTEM FOR FOOD GRAIN QUALITY EVALUATION: A REVIEW.TRENDS IN FOOD SCIENCE & TECHNOLOGY. VOL. 56. ISSUE . P. 13 -20 | 37 | 56% | 0 |
Classes with closest relation at Level 1 |