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AUTO REGRESSIVE MODELS FOR DROUGHT MANAGEMENT . NATIONAL SYMPOSIUM ON RECENT ADVANCES IN DRYLAND AGRICULTURE
KRISHI: Publication and Data Inventory Repository
View Archive Info| Field | Value | |
| Title |
AUTO REGRESSIVE MODELS FOR DROUGHT MANAGEMENT . NATIONAL SYMPOSIUM ON RECENT ADVANCES IN DRYLAND AGRICULTURE
Not Available |
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| Creator |
RN ADHIKARI
BHASKAR RAO P RAMA MOHAN MS RAO |
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| Subject |
DRYLAND AGRICULTURE, REGRESSIVE MODELS, DROUGHT MANAGEMENT
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| Description |
Not Available
THE WATER DEFICIT ANALYSIS IN THE PRESENT STUDY AIMED AT FINDING OUT THE MAGNITUDE OF MOISTURE STRESS THAT THE CROP EXPERIENCES IN DIFFERENT MONTHLY PERIODS. USING THE METEOROLOGICAL DATA ON RAINFALL AND EVAPORATION RECORDED FOR THE LOW RAINFALL TRACT OF BELLARY , WATER DEFICIT VALUES WERE CALCULATED BY USING THORNTHE WAITE'S TECHNIQUE . THE RESULTS REVEALED THAT ON AN AVERAGE NO SINGLE MONTH HAS RECORDED SURPLUS WATER DURING A YEAR. THE WATER DEFICITS WERE COMPARITIVELY LESS DURING RABI SEASON THAN KHARIF SEASON. AN ATTEMPT WAS MADE TO PREDICT THE MONTHLY WATER DEFICITS , WHICH IS ASSUMED TO BE THE MAGNITUDE OF DROUGHT , USING AUTO REGRESSIVE MODELS. Not Available |
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| Date |
2020-07-28T10:08:49Z
2020-07-28T10:08:49Z 1988-01-01 |
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| Type |
Research Paper
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| Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/38344 |
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| Language |
English
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| Relation |
Not Available;
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| Publisher |
Not Available
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