Author(s): A. MAJUMDER, C.K. KUNDU, R. NATH, P.S. BERA* AND SK. J. ISLAM

Abstract: Calibration problem is normally used for estimation of an unknown value of an independent variable (X) corresponding to an observed value of a dependent variable (Y) which is functionally related to X. This paper is concerned with the development of a confidence interval (C.I.) for an unknown value of X corresponding to a specified or predetermined value of Y, where the relationship between X and Y may be linear or non-linear. The problem of weeds in mulberry cultivation is severe. The produce of mulberry cultivation is the leaf which is entirely dependent on the physiological condition of the plant. If weeds or unwanted plants make any disturbance to the mulberry plants, the leaf production declines, directly. The control of weeds in proper time in
mulberry cultivation, therefore, is vital. In the presentation piece of investigation, an attempt has been made to estimate the critical period of weed control (CPWC) in mulberry cultivation. We apply calibration techniques to linear and non-linear models to estimate the best period for weed control for, at least, 90% of leaf production for four different seasons (viz., August, 1992 to November,1992; November,1992 to March,1993; April, 1993 to June, 1993 and August 1993 to November, 1993.

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