KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
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http://krishi.icar.gov.in/jspui/handle/123456789/47729Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shashi Bhushan Kumar | en_US |
| dc.contributor.author | Ashok Kumar | en_US |
| dc.contributor.author | Madhuka Kumar | en_US |
| dc.contributor.author | M.B.B. Prasad Babu | en_US |
| dc.contributor.author | Sumanth Kumar V.V | en_US |
| dc.contributor.author | T. Nagender | en_US |
| dc.date.accessioned | 2021-07-12T08:16:33Z | - |
| dc.date.available | 2021-07-12T08:16:33Z | - |
| dc.date.issued | 2016-01-01 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/47729 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Assessing and monitoring crop growth, identifying the stress conditions are extremely important to develop strategies for yield forecast. Field experiment was conducted in the research farm of Indian Agricultural Research Institute (IARI), New Delhi in the year 1999 and 2001 for puddling and unpuddling rice. Statistical correlations were developed between NDVI (Normalized Difference Vegetation Index) and RVI (Ratio Vegetation Index) with LAI (Leaf Area Index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of Band Ratio were found to be better fitted than NDVI with crop biometrics. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Not Available | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | an im por tant; ciency in food but; dry mat ter; food pro duc tion; in dia at tained; ing food; lai; leaf chlo ro phyll; ndvi; not only self-suf fi; rvi and rice; step to wards achiev; sur plus | en_US |
| dc.title | EVAL U AT ING CROP BIOMETRICS BY RE MOTE SENS ING TECH NIQUES | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Journal | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Progressive Research: An International Journal | en_US |
| dc.publication.volumeno | 11 | en_US |
| dc.publication.pagenumber | 971-973 | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | Not Available | en_US |
| dc.publication.authorAffiliation | Department of Soil Science and Agricultural Chemistry | en_US |
| dc.publication.authorAffiliation | De part ment of Soil Sci ence and Ag ri cul tural Chem is try, | en_US |
| dc.publication.authorAffiliation | ICRISAT, Patancheru, Hyderabad | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | 3.78 | - |
| Appears in Collections: | AEdu-NAARM-Publication | |
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