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Singh, Niranjan
- Wire Ropes-description and Maintenance
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Indian Forester, Vol 86, No 1 (1960), Pagination: 33-36Abstract
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- Saw Files
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Indian Forester, Vol 85, No 12 (1959), Pagination: 742-744Abstract
Saw files playa very important role in the proper maintenance of all types of saws. Considerable damage is done to the saws as well as to the files by wrong choice of files for different jobs. This paper deals with certain basic facts regarding files and general instructions and recommendations for their use. (Collected from the book under reference).- Print v/s Digital Information Resources: A Qualitative Study
Abstract Views :263 |
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Authors
Affiliations
1 University Information Resource Centre, Guru Gobind Singh Indraprastha University, New Delhi
2 Kendriya Hindi Sansthan, Agra
1 University Information Resource Centre, Guru Gobind Singh Indraprastha University, New Delhi
2 Kendriya Hindi Sansthan, Agra
Source
International Journal of Information Library and Society, Vol 2, No 1 (2013), Pagination: 30-34Abstract
The present day libraries and information centre's houses many forms and formats of information resources for fulfilling the information needs of their users. Broadly, if we classify these resources then they fall under the two categories viz. print resources and digital resources. Now, at such a point of time, where both the resources has shown their strong presence in the library collection, it is generally asked, that which information resources have supremacy over the other. A featuristic study regarding their use, has been carried out amongst the users of Delhi university library system (DULS) and the results shows that out of the 12 features studied 6 are in favour of print resources.Keywords
Information Resources, Print Resources, E-Resources, Digital Information Resources, Library ResourcesReferences
- Kathleen Bauer. Indexes as Tools for Measuring Usage of Print and Electronic Resources. College and Research Libraries, vol. 62, pp. 36-42, 2001.
- N. Chowdappa, M. Chandrashekara and C.P. Ramasesh. Impact of Electronic Information Sources on the Academic Users in Mysore: An Analytical study. SRELS Journal of Information management, vol. 46, pp. 155-162, 2009.
- Ronald F. Dow. Editorial Gate Keepers: Confronted by the Electronic Journal. College and Research Libraries, vol. 61, p. 146-154, 2000.
- Shawn V. Lombardo and Cynthia E. Miree. Caught in the Web: The Impact of Library Instruction on Business Student’s Perceptions and Use of Print and Online Resources. College and Research Libraries, vol. 64, pp. 6-22, 2003.
- Decision Making in Integrated Pest Management and Bayesian Network
Abstract Views :246 |
PDF Views:129
Authors
Niranjan Singh
1,
Neha Gupta
1
Affiliations
1 ManavRachna International University, Faridabad-121004, IN
1 ManavRachna International University, Faridabad-121004, IN
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 2 (2017), Pagination: 31-37Abstract
Timely availability of expert support to the farmers for appropriate decision-making on 'whether and what pest management option is required' is imperative for effective Integrated Pest Management (IPM). For several decades Economic Threshold Level (ETL) has been the basis for decision-making but in modern IPM emphasis is given on agro-ecological situation wherein IPM decisions are based on large range of pest relevant information such as crop health, natural enemies, weather etc. beside pest incidence scientifically obtained through farmers' field scouting. But large farming community in India can rather obtain the tentative information of this kind, consisting uncertainties. Bayesian Network (BN), anartificial intelligence approach could help in developing technique/model to deal with tentative pest relevant information which can be used in field scouting based IPM Decision Support Systems (DSSs) to automate the process of advising appropriate pest management option to the farmers on the basis of tentative agro-ecological situation of their fields.Keywords
IPM, Field Scouting, Decision-Making, ETL, Agro-Ecological Situation.Full Text
References
- Chunguang Bi and Guifen Chen (2010). Bayesian Networks Modeling for Crop Diseases. Computer and Computing Technologies in Agriculture IV, Vol.344; 312-32.
- Fabre, F., Pierre J.S., Dedryver C.A. and Plantegenest M. (2006). Barley yellow low dwarf disease risk assessment based on Bayesian modelling of aphid population dynamics. Ecological Modelling, 193: 457-466.
- Isabel M. delAguila and Jos e del Sagrado (2012). Metamodeling of Bayesian networks for decision-support systems development, presented in workshop Knowledge Engineering and Software Engineering (KESE8) in ECAI 2012, At Montpelier.
- March J.G. Primer on Decision Making: How Decisions Happen(1994). The Free Press, New York, NY, USA; 289:
- Mead R., J. Paxton and R. Sojda (2006). Applications of Bayesian Networks in ecological modelling, The Second IASTED International Conference on Environmental Modelling and Simulation. St. Thomas, Virgin Islands
- PetrosDamos (2015). Modular structure of web-based decision support systems for integrated pest management. A review. Agronomy for Sustainable Development, 35:1347–1372
- Pan Heping, McMichael Daniel (1998). Fuzzy Causal Probabilistic Networks - A New Ideal and Practical Inference Engine. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1. 1.39.1482 rep=rep1&type=pdf.
- Rivot, E., Prevost E., Parent E. and Bagliniere J.L. (2004). A Bayesian state-space modelling framework for fitting a salmon stage-structured population dynamic model to multiple time series of field data. Ecological Modelling, 179(4): 463-485.
- Rossi V., Caffi T. and Salinari F. (2012). Helping farmers face the increasing complexity of decision-making for crop protection. PhytopathologiaMediterranea 51(3), pp. 457-479.
- Satyagopal, K., S.N. Sushil, P. Jeyakumar, G. Shankar, O.P. Sharma, S.K. Sain, D.R. Boina, D. Chattopadhyay, B.S. Sunanda, Ram Asre, K.S. Kapoor, Sanjay Arya, Subhash Kumar, C.S. Patni, Dhanapal, A.N. Sabalpara, S.K. Beura, R.K. Mesta, Biju, B.G. Naik, J. Halder, S. Saha. (2014). AESA based IPM package for Watermelon, pp 40.
- Serena H. Chen and Carmel A. Pollino(2012). Good Practice in Bayesian Network Modelling. Environmental Modelling & Software, 37: 134-145.