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http://krishi.icar.gov.in/jspui/handle/123456789/65926
Title: | Application of GPS, GIS and related techniques in the diagnosis and management of plant diseases. |
Other Titles: | Not Available |
Authors: | S. Saha, A. B. Rai and B. K. Sharma |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Vegetable Research |
Published/ Complete Date: | 2012-01-01 |
Project Code: | Not Available |
Keywords: | Plant disease , diagnosis, management, agricultural, heterogeneity |
Publisher: | New India Publishing Agency, New Delhi. |
Citation: | S. Saha, A. B. Rai and B. K. Sharma (2012) Application of GPS, GIS and related techniques in the diagnosis and management of plant diseases.In: Applied Computational Biology and Statistics in Biotechnology and Bioinformatics Ed: A.K. Roy 775-790 Pub: New India Publishing Agency, New Delhi. |
Series/Report no.: | Not Available; |
Abstract/Description: | Plant disease has been highly impacted by the development of new technology. The degree of the impact depends on how much the technology affects the component steps of the system. Many of the steps in plant disease diagnosis and management depends heavily on accurate and timely information and so can greatly benefit from the development of improved methods of accessing and disseminating information. Computers provide a wide range of tools which are extensively used in plant disease diagnosis and management. In fact, they will be a key to improve farm practices in the coming decades as it is scientifically pertinent to organize farm information in spatial database because agricultural systems are inherently spatial. Biological and physical aspects of agricultural system create spatial heterogeneity and as a result, patchiness in the rule in the occurrence and distribution of plant pathogens and disease (Campbell and Madden, 1990). In the area of plant diseases computers are useful. a. To store, retrieve and analysed data such as survey, surveillance and maintaining of disease incidences. b. To create database. c. For modelling and simulation of disease incidence/forewarming. d. For developing expert system for disease problems and decision making (Dhandapani et al., 2001) |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Book chapter |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Applied Computational Biology and Statistics in Biotechnology and Bioinformatics |
Volume No.: | Not Available |
Page Number: | 775-790 |
Name of the Division/Regional Station: | Varanasi, Uttar Pradesh |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/65926 |
Appears in Collections: | HS-NRCG-Publication |
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