Institution
Indian Agricultural Statistics Research Institute
Facility•New Delhi, India•
About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.
Papers published on a yearly basis
Papers
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01 Jan 2017TL;DR: This chapter discusses in brief the methods of sequencing technologies, details the approaches of genome assembly, and presents the challenges of plant genome assembly.
Abstract: This chapter highlights strategies and tools for sequencing and assembly of plant genomes. It discusses in brief the methods of sequencing technologies (the first, second and third generations), details the approaches of genome assembly (the de novo and reference assembly) and presents the challenges of plant genome assembly.
4 citations
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01 Nov 2012TL;DR: The automatic image based disease diagnosis in crops may help farmers in early detection of diseases and losses due to the image infestation can be reduced.
Abstract: Farmers always need satisfactory and easy advice from experts. To get the advice from an expert system, it should have enough knowledge about the domain. Gathering enough knowledge and representing it in a machine understandable format is time consuming and difficult job. Also, representing each and every kind of knowledge is still a research issue. Since, a single picture is worth a thousand words, it will be a good idea to acquire knowledge also in images rather than only text. Image is an easy way of communication without any boundary of language. Hence there is a need for building an expert system with content based image retrieval which could acquire and deliver the knowledge by searching the image having the similar features that is searched by the user. In the presented work, a system is developed to diagnose diseases in crops by matching the uploaded image of a diseased plant from the corpus of images. Three techniques viz. CEDD, Auto Color Correlogram and FCTH are tested and the result is presented. The automatic image based disease diagnosis in crops may help farmers in early detection of diseases and losses due to the image infestation can be reduced.
4 citations
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TL;DR: Some methods of constructing circular neighbor balanced and circular partially neighbor balanced block designs for estimation of direct and neighbor effects of the treatments are described.
Abstract: This paper describes some methods of constructing circular neighbor balanced and circular partially neighbor balanced block designs for estimation of direct and neighbor effects of the treatments. A class of circular neighbor balanced block designs with unequal block sizes is also proposed.
4 citations
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TL;DR: This article proposes a new method of combining the volatility of these two competing models using the powerful technique of Kalman filter, and assesses their ability to predict the correct directional change in future values as well as other goodness-of-fit statistics.
Abstract: In this article, we study the volatility in the monthly price series of edible oils in domestic and international markets using the two popular family of nonlinear time-series models, viz, Generali...
4 citations
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TL;DR: Screening thousands of backcrossed plants with molecular markers in the vicinity of Sr26 may help recover some with RP genome and overcome the adverse effects associated with this introgression.
4 citations
Authors
Showing all 462 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sunil Kumar | 30 | 230 | 3194 |
Atmakuri Ramakrishna Rao | 21 | 109 | 1803 |
Charanjit Kaur | 20 | 80 | 4320 |
Anil Rai | 20 | 208 | 1595 |
Ranjit Kumar Paul | 17 | 93 | 875 |
Hukum Chandra | 17 | 75 | 825 |
Sudhir Srivastava | 17 | 69 | 1123 |
Krishan Lal | 16 | 68 | 1022 |
Ashish Das | 15 | 146 | 1218 |
Eldho Varghese | 15 | 127 | 842 |
Deepti Nigam | 14 | 29 | 812 |
Mir Asif Iquebal | 14 | 88 | 604 |
Rajender Parsad | 13 | 98 | 799 |
Deepak Singla | 13 | 32 | 422 |
Prem Narain | 13 | 80 | 503 |