AADYA -National Journal of Management and Technology

Sharayu G. Karandikar ¹

Affiliations
1 YMT College of Management, MCA Department, Kharghar, IN

Abstract

In today's technology oriented world e-learning is an emerging trend in teaching-learning process. It provides a facility of anytime/anywhere learning without a classroom and a teacher. This research paper reviews togetherness of computer science technique of e-learning and ancient methodology of Vedic Mathematics. It aims at enhancing global technology trends in revealing alternatives methodology in computational science and generating awareness about Vedic Mathematics through e-learning. To achieve these objectives, case based study is conducted of Vedic Mathematical sutras. The case study has examined working of Vedic sutras in performing arithmetic operations. These Vedic sutras with a handful of examples are presented to people in form of a web-site. The web-site has provided prominent feature of user input for enabling people to practice with their own data. Also a feature of working with conventional method is provided for enabling people to check correctness of result as well as to perform comparative analysis between two methodologies. The web-site is demonstrated to the audience and feedback is collected with the help of feed-back form. Answers to questions generated in the feedback form were analyzed and presented in form of a spread sheet with consolidated results. The response of audience was positively significant and the views expressed were valuable and motivating. The study makes contributions to the enhancement of e-learning and to the awareness of alternative computational method with Vedic Mathematics.

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Sharayu G. Karandikar ¹

Affiliations
1 YMT College of Management, Kharghar-Navi Mumbai, IN

Abstract

Soft computing is a problem solving methodology applied in the domain of impreciseness to address complex analytical problems and to model solution framework based on human intelligence. Soft computing paradigm is imminent as a decision support model in the domain of uncertainty, vagueness and human behavior. The methodology of soft computing is studied and applied in many areas of research and development in last few years. In agricultural sector researchers and analysts have developed new methods using soft computing constituents like evolutionary computing, fuzzy logic, artificial neural network and genetic algorithm to study soil conditions, to analyze fertilizer applications and to monitor crop growth in view of improving crop productivity. Fertilizer management is a multifaceted and complex process that greatly affects crop productivity. This paper presents the study of soft computing techniques in agricultural domain. A review of Soft computing methodology to improve crop productivity, to perform complex analysis and to support decision making with respect to fertilizer management is presented.

Keywords

Soft Computing, DSS, Agriculture, Fertilizer Management.

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