Loading…
Remote sensing for agricultural water management and crop yield prediction
Research we have conducted over the past several years relative to agricultural application of remote sensing is reviewed. In addition, new data are presented from recent experiments reported here for the first time. The subjects treated are soil moisture, evaporation, irrigation scheduling, and cro...
Saved in:
Published in: | Agricultural water management 1977-01, Vol.1 (4), p.299-310 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183 |
---|---|
cites | cdi_FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183 |
container_end_page | 310 |
container_issue | 4 |
container_start_page | 299 |
container_title | Agricultural water management |
container_volume | 1 |
creator | Idso, Sherwood B. Jackson, Ray D. Reginato, Robert J. |
description | Research we have conducted over the past several years relative to agricultural application of remote sensing is reviewed. In addition, new data are presented from recent experiments reported here for the first time.
The subjects treated are soil moisture, evaporation, irrigation scheduling, and crop yield estimation. The analyses indicate that we have the technology at hand to successfully integrate remote sensing techniques into agricultural operations designed to enhance production via intelligent water management.
Avenues for additional fruitful research are indicated. |
doi_str_mv | 10.1016/0378-3774(77)90021-X |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_18439452</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>037837747790021X</els_id><sourcerecordid>1265783463</sourcerecordid><originalsourceid>FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183</originalsourceid><addsrcrecordid>eNp9kc1rFTEUxUOx0Gfb_0AkK6mLsckkM8lsBCl-tDwUpEJ34b7k5hmZL5O8yvvvzTjSZReHuznn3JtfCHnF2TvOeHvNhNKVUEpeKfW2Y6zm1cMJ2XCtRFXXWrwgmyfLGXmZ0i_GmGRSbcjddxymjDThmMK4p36KFPYx2EOfDxF6-gcyRjrACHsccMwURkdtnGZ6DNg7Okd0weYwjRfk1EOf8PL_PCc_Pn28v_lSbb99vr35sK2sbFSunMQdMg3eteil2CHIXQudVdrxRqoGlGM1aqERfMt8uRKclbxuvbC65Vqckzdr7xyn3wdM2QwhWex7GHE6JMO1FJ1s6mK8et5Yt43SQraiWOVqLS9LKaI3cwwDxKPhzCyMzQLQLACNUuYfY_NQYrdrLOKM9imDiLAPhZx5NAJ40XGZXUkKCEWyaC6qu86IsuFnHkrX67XLw2SWL0jm67ZkumVzw3kxvF8NWOA-Bowm2YCjLfwj2mzcFJ6_9i_kAaYB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1265783463</pqid></control><display><type>article</type><title>Remote sensing for agricultural water management and crop yield prediction</title><source>ScienceDirect®</source><creator>Idso, Sherwood B. ; Jackson, Ray D. ; Reginato, Robert J.</creator><creatorcontrib>Idso, Sherwood B. ; Jackson, Ray D. ; Reginato, Robert J. ; US Water Conservation Lab., Phoenix, Ariz. (USA)</creatorcontrib><description>Research we have conducted over the past several years relative to agricultural application of remote sensing is reviewed. In addition, new data are presented from recent experiments reported here for the first time.
The subjects treated are soil moisture, evaporation, irrigation scheduling, and crop yield estimation. The analyses indicate that we have the technology at hand to successfully integrate remote sensing techniques into agricultural operations designed to enhance production via intelligent water management.
Avenues for additional fruitful research are indicated.</description><identifier>ISSN: 0378-3774</identifier><identifier>ISSN: 1873-2283</identifier><identifier>EISSN: 1873-2283</identifier><identifier>DOI: 10.1016/0378-3774(77)90021-X</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>agricultural management ; crop yield ; evaporation ; irrigation scheduling ; prediction ; remote sensing ; soil water</subject><ispartof>Agricultural water management, 1977-01, Vol.1 (4), p.299-310</ispartof><rights>1978</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183</citedby><cites>FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/037837747790021X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3547,27922,27923,45778</link.rule.ids><backlink>$$Uhttp://econpapers.repec.org/article/eeeagiwat/v_3a1_3ay_3a1977_3ai_3a4_3ap_3a299-310.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Idso, Sherwood B.</creatorcontrib><creatorcontrib>Jackson, Ray D.</creatorcontrib><creatorcontrib>Reginato, Robert J.</creatorcontrib><creatorcontrib>US Water Conservation Lab., Phoenix, Ariz. (USA)</creatorcontrib><title>Remote sensing for agricultural water management and crop yield prediction</title><title>Agricultural water management</title><description>Research we have conducted over the past several years relative to agricultural application of remote sensing is reviewed. In addition, new data are presented from recent experiments reported here for the first time.
The subjects treated are soil moisture, evaporation, irrigation scheduling, and crop yield estimation. The analyses indicate that we have the technology at hand to successfully integrate remote sensing techniques into agricultural operations designed to enhance production via intelligent water management.
Avenues for additional fruitful research are indicated.</description><subject>agricultural management</subject><subject>crop yield</subject><subject>evaporation</subject><subject>irrigation scheduling</subject><subject>prediction</subject><subject>remote sensing</subject><subject>soil water</subject><issn>0378-3774</issn><issn>1873-2283</issn><issn>1873-2283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1977</creationdate><recordtype>article</recordtype><recordid>eNp9kc1rFTEUxUOx0Gfb_0AkK6mLsckkM8lsBCl-tDwUpEJ34b7k5hmZL5O8yvvvzTjSZReHuznn3JtfCHnF2TvOeHvNhNKVUEpeKfW2Y6zm1cMJ2XCtRFXXWrwgmyfLGXmZ0i_GmGRSbcjddxymjDThmMK4p36KFPYx2EOfDxF6-gcyRjrACHsccMwURkdtnGZ6DNg7Okd0weYwjRfk1EOf8PL_PCc_Pn28v_lSbb99vr35sK2sbFSunMQdMg3eteil2CHIXQudVdrxRqoGlGM1aqERfMt8uRKclbxuvbC65Vqckzdr7xyn3wdM2QwhWex7GHE6JMO1FJ1s6mK8et5Yt43SQraiWOVqLS9LKaI3cwwDxKPhzCyMzQLQLACNUuYfY_NQYrdrLOKM9imDiLAPhZx5NAJ40XGZXUkKCEWyaC6qu86IsuFnHkrX67XLw2SWL0jm67ZkumVzw3kxvF8NWOA-Bowm2YCjLfwj2mzcFJ6_9i_kAaYB</recordid><startdate>19770101</startdate><enddate>19770101</enddate><creator>Idso, Sherwood B.</creator><creator>Jackson, Ray D.</creator><creator>Reginato, Robert J.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>FBQ</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>19770101</creationdate><title>Remote sensing for agricultural water management and crop yield prediction</title><author>Idso, Sherwood B. ; Jackson, Ray D. ; Reginato, Robert J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1977</creationdate><topic>agricultural management</topic><topic>crop yield</topic><topic>evaporation</topic><topic>irrigation scheduling</topic><topic>prediction</topic><topic>remote sensing</topic><topic>soil water</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Idso, Sherwood B.</creatorcontrib><creatorcontrib>Jackson, Ray D.</creatorcontrib><creatorcontrib>Reginato, Robert J.</creatorcontrib><creatorcontrib>US Water Conservation Lab., Phoenix, Ariz. (USA)</creatorcontrib><collection>AGRIS</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Agricultural water management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Idso, Sherwood B.</au><au>Jackson, Ray D.</au><au>Reginato, Robert J.</au><aucorp>US Water Conservation Lab., Phoenix, Ariz. (USA)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote sensing for agricultural water management and crop yield prediction</atitle><jtitle>Agricultural water management</jtitle><date>1977-01-01</date><risdate>1977</risdate><volume>1</volume><issue>4</issue><spage>299</spage><epage>310</epage><pages>299-310</pages><issn>0378-3774</issn><issn>1873-2283</issn><eissn>1873-2283</eissn><abstract>Research we have conducted over the past several years relative to agricultural application of remote sensing is reviewed. In addition, new data are presented from recent experiments reported here for the first time.
The subjects treated are soil moisture, evaporation, irrigation scheduling, and crop yield estimation. The analyses indicate that we have the technology at hand to successfully integrate remote sensing techniques into agricultural operations designed to enhance production via intelligent water management.
Avenues for additional fruitful research are indicated.</abstract><pub>Elsevier B.V</pub><doi>10.1016/0378-3774(77)90021-X</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0378-3774 |
ispartof | Agricultural water management, 1977-01, Vol.1 (4), p.299-310 |
issn | 0378-3774 1873-2283 1873-2283 |
language | eng |
recordid | cdi_proquest_miscellaneous_18439452 |
source | ScienceDirect® |
subjects | agricultural management crop yield evaporation irrigation scheduling prediction remote sensing soil water |
title | Remote sensing for agricultural water management and crop yield prediction |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A11%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Remote%20sensing%20for%20agricultural%20water%20management%20and%20crop%20yield%20prediction&rft.jtitle=Agricultural%20water%20management&rft.au=Idso,%20Sherwood%20B.&rft.aucorp=US%20Water%20Conservation%20Lab.,%20Phoenix,%20Ariz.%20(USA)&rft.date=1977-01-01&rft.volume=1&rft.issue=4&rft.spage=299&rft.epage=310&rft.pages=299-310&rft.issn=0378-3774&rft.eissn=1873-2283&rft_id=info:doi/10.1016/0378-3774(77)90021-X&rft_dat=%3Cproquest_cross%3E1265783463%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c457t-d4ebe08afd6ef43bea4b6a9c78d15475a7d02e838eaf60f047adc4126f3c86183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1265783463&rft_id=info:pmid/&rfr_iscdi=true |