High-throughput plot-level quantitative phenotyping using convolutional neural networks on very high-resolution satellite images (Record no. 67170)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02645nab|a22004097a|4500 |
| 001 - CONTROL NUMBER | |
| control field | 67170 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240919021234.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 20241s2024||||mx |||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 2072-4292 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | https://doi.org/10.3390/rs16020282 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MX-TxCIM |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Victor, B. |
| 9 (RLIN) | 33127 |
| 245 10 - TITLE STATEMENT | |
| Title | High-throughput plot-level quantitative phenotyping using convolutional neural networks on very high-resolution satellite images |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | MDPI, |
| Date of publication, distribution, etc. | 2024. |
| Place of publication, distribution, etc. | Basel (Switzerland) : |
| 500 ## - GENERAL NOTE | |
| General note | Peer review |
| 500 ## - GENERAL NOTE | |
| General note | Open Access |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | To ensure global food security, crop breeders conduct extensive trials across various locations to discover new crop varieties that grow more robustly, have higher yields, and are resilient to local stress factors. These trials consist of thousands of plots, each containing a unique crop variety monitored at intervals during the growing season, requiring considerable manual effort. In this study, we combined satellite imagery and deep learning techniques to automatically collect plot-level phenotypes from plant breeding trials in South Australia and Sonora, Mexico. We implemented two novel methods, utilising state-of-the-art computer vision architectures, to predict plot-level phenotypes: flowering, canopy cover, greenness, height, biomass, and normalised difference vegetation index (NDVI). The first approach uses a classification model to predict for just the centred plot. The second approach predicts per-pixel and then aggregates predictions to determine a value per-plot. Using a modified ResNet18 model to predict the centred plot was found to be the most effective method. These results highlight the exciting potential for improving crop trials with remote sensing and machine learning. |
| 546 ## - LANGUAGE NOTE | |
| Language note | Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Agriculture |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 1007 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image analysis |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 6509 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Plant breeding |
| Miscellaneous information | AGROVOC |
| Source of heading or term | |
| 9 (RLIN) | 1203 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Remote sensing |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 1986 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 11127 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nibali, A. |
| 9 (RLIN) | 33128 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Newman, S.J. |
| 9 (RLIN) | 33129 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Coram, T. |
| 9 (RLIN) | 17729 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pinto Espinosa, F. |
| Field link and sequence number | I1707012 |
| 9 (RLIN) | 4431 |
| Miscellaneous information | Formerly Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Reynolds, M.P. |
| Field link and sequence number | INT1511 |
| 9 (RLIN) | 831 |
| Miscellaneous information | Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Furbank, R.T. |
| 9 (RLIN) | 8940 |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhen He |
| 9 (RLIN) | 10981 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Remote Sensing |
| Related parts | v. 16, no. 2, art. 282 |
| Place, publisher, and date of publication | Basel (Switzerland) : MDPI, 2024. |
| Record control number | u57403 |
| International Standard Serial Number | 2072-4292 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS | |
| Link text | Open Access through DSpace |
| Uniform Resource Identifier | https://hdl.handle.net/10883/23043 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Article |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Date last seen | Total Checkouts | Price effective from | Koha item type | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 02/03/2024 | 02/03/2024 | Article | Not Lost | Dewey Decimal Classification | CIMMYT Staff Publications Collection | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Knowledge Center: John Woolston Library | 02/03/2024 |