A STUDY ON DISCRIMINATING THE PROTECTED AND OPEN FIELD CULTIVATION USING LINEAR DISCRIMINANT ANALYSISPravin Vekariya, Kalpesh Kumar, Viral Chaudhary and Mahammadhusen K.
The paper scrutinizes the factors that distinguish between protected farmers and open field farmer groups. To anticipate this, linear discrimination approach was employed in the order to indentify the influence of these factors. One hundred farmers were selected randomly, among them fifty were protected and remaining fifty were open field cultivators of cucumber. The coefficient of the function is an indicator of the relative importance of individual variable. The study had found that factors such under protected farming, input cost per acre, institutional participation and distance from market place were significantly discriminate two groups. Wilks Lambda of the model was 0.032 that sufficiently made strong group difference. Furthermore, overall mean score (Z) was found 1.22. So, for the prediction of farmers if value of Z would higher it belongs to protected cultivation while low value of Z would for open field cultivation. Result of the confusion metrics clearly indicated that only single respondent was misclassified which conclude that two groups were rightly classified.
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