| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000432899 |
| 005 | | 20200225104159 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085727846 |
| 035 | |
▼a (MiAaPQ)AAI22589958 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 630 |
| 100 | 1 |
▼a Peter, Bradley George. |
| 245 | 10 |
▼a Integrated Remote Sensing and Crop System Modeling for Precision Agriculture Across Spatial and Temporal Scales. |
| 260 | |
▼a [S.l.]:
▼b Michigan State University.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 155 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-03, Section: B. |
| 500 | |
▼a Advisor: Messina, Joseph. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Michigan State University, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 506 | |
▼a This item must not be added to any third party search indexes. |
| 520 | |
▼a In light of global environmental change, population pressure, and food production demands, there is considerable value in mapping biogeographic crop niche and characterizing crop productivity at multiple scales to enhance the impact of agricultural improvement across Africa. Crop system research has advanced sustainable strategies for intensifying food production |
| 590 | |
▼a School code: 0128. |
| 650 | 4 |
▼a Geography. |
| 650 | 4 |
▼a Remote sensing. |
| 650 | 4 |
▼a Agronomy. |
| 690 | |
▼a 0366 |
| 690 | |
▼a 0799 |
| 690 | |
▼a 0285 |
| 710 | 20 |
▼a Michigan State University.
▼b Geography - Doctor of Philosophy. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-03B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0128 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493198
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |