An automatic method based on daily in situ images and deep learning to date wheat heading stage (Record no. 62023)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02627nab a22003857a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 62023 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251010172732.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200602s2020 ne |||p|op||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
| International Standard Serial Number | 0378-4290 |
| 024 8# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | https://doi.org/10.1016/j.fcr.2020.107793 |
| 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 | |
| 9 (RLIN) | 13778 |
| Personal name | Velumani, K. |
| 245 13 - TITLE STATEMENT | |
| Title | An automatic method based on daily in situ images and deep learning to date wheat heading stage |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Amsterdam (Netherlands) : |
| Name of publisher, distributor, etc. | Elsevier, |
| Date of publication, distribution, etc. | 2020. |
| 500 ## - GENERAL NOTE | |
| General note | Peer review |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Accurate and timely observations of wheat phenology and, particularly, of heading date are instrumental for many scientific and technical domains such as wheat ecophysiology, crop breeding, crop management or precision agriculture. Visual annotation of the heading date in situ is a labour-intensive task that may become prohibitive in scientific and technical activities where high-throughput is needed. This study presents an automatic method to estimate wheat heading date from a series of daily images acquired by a fixed RGB camera in the field. A convolutional neural network (CNN) is trained to identify the presence of spikes in small patches. The heading date is then estimated from the dynamics of the spike presence in the patches over time. The method is applied and validated over a large set of 47 experimental sites located in different regions in France, covering three years with nine wheat cultivars. Results show that our method provides good estimates of the heading dates with a root mean square error close to 2 days when compared to the visual scoring from experts. It outperforms the predictions of a phenological model based on the ARCWHEAT crop model calibrated for our local conditions. The potentials and limits of the proposed methodology towards a possible operational implementation in agronomic applications and decision support systems are finally further discussed. |
| 546 ## - LANGUAGE NOTE | |
| Language note | Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 4770 |
| Topical term or geographic name as entry element | Phenology |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 4872 |
| Topical term or geographic name as entry element | Internet |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 9056 |
| Topical term or geographic name as entry element | Neural Networks |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 2530 |
| Topical term or geographic name as entry element | Sensors |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | AGROVOC |
| 9 (RLIN) | 11710 |
| Topical term or geographic name as entry element | Modelling |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 10190 |
| Personal name | Madec, S. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | De Solan, B. |
| 9 (RLIN) | 10072 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13779 |
| Personal name | Lopez-Lozano, R. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13780 |
| Personal name | Gillet, J. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13781 |
| Personal name | Labrosse, J. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 13782 |
| Personal name | Jezequel, S. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 10054 |
| Personal name | Comar, A. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 10106 |
| Personal name | Baret, F. |
| 773 0# - HOST ITEM ENTRY | |
| Place, publisher, and date of publication | Amsterdam (Netherlands) : Elsevier, 2020. |
| Related parts | v. 252, art. 107793 |
| Title | Field Crops Research |
| International Standard Serial Number | 0378-4290 |
| Record control number | u444314 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Article |
| Suppress in OPAC | No |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 06/04/2020 | 06/04/2020 | Article | Not Lost | Dewey Decimal Classification | Reprints Collection | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Knowledge Center: John Woolston Library | 06/04/2020 |