WEATHER BASED PEST FOREWARNING AND MARKETING ISSUES IN MANGO CROP
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Date
2017-09
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jau,junagadh
Abstract
Key words: Multiple regression, likart scale, Factors analysis, Garrett ranking technique
The present study entitled “Weather Based Pest Forewarning and Marketing Issues in Mango Crop”was under taken with the objectives of studying the socio economic profile of mango growers,Develop the weather based forewarning models for pest in mango crop. Satisfaction level towards excel crop care insecticide. Marketing problems faced by mango growers. Constraints faced by dealers in selling the excel crop care products. And 100 farmers, 50 dealers were selected for the study purpose. The tabular and graphical method, multiple regression analysis, likart scale, factor analysis and Garrett ranking technique were used for the analysis.
The population build-up of the mango hopper was significantly correlated negatively with minimum temperature as well as morning and evening relative humidity. Sun shine hours was significantly correlated positively with population build-up of mango hopper whereas none of the factors showed a significant effect on population build-up of mango hopper during the year 2000, 2001 and 2002.In case of satisfaction level of farmers with excel crop care products, the majority of the farmers (54 per cent) were not satisfied with the price of the excel crop care products followed by with the packaging of the excel crop care products. This calls for company’s decision to reduce the price of the product and to take necessary action to improve the packaging of this product. The marketing problem of mango growers identified new names which influence infrastructure facilities, accessibility, marketing and financial, government aid, borrowed capital and more assistance,it is observed that all the six factors jointly explained 67.45 per cent of the variance.Risky investment (high price) was ranked first based on the response of dealers in the survey. This means high price is prohibiting the company from making more sales because of competitive companies who offer their products for sale pat lower price.