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| Authors: | R.P. Singh, V. Tandon, N. Sharma, J.M. Singh |
| Keywords: | Irregular, Correlation, Regression, Prediction, Model |
Abstract:
Fruit set and yield of olives were negatively correlated with maximum temperature, minimum temperature, relative humidity, evaporation and soil temperature, but were positively correlated with rainfall and wet days.
Four prediction models were computed each for fruit set and yield.
The fruit set and yield of olives at location 1 can be accurately predicted in the months of November and December, and December and May, respectively.
But at location 2 fruit set and yield can be accurately predicted in the months of January and February.
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