Burdwanriceyield

Contains the Years and yield data in Tonnes per hectare

datasets

Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.

Akhilesh Kumar Gupta

weatherindices

Calculate Weather Indices

Kader Ali Sarkar

Digvijay Singh Dhakre

Debasis Bhattacharya

Burdwanriceyield function

A data frame with 39 rows of 2 variables<dl>
<dt>Year</dt>
<dd>starting year of data</dd><dt>burdwan</dt>
<dd>rice yield data of burdwan district</dd>
</dl>

Format

Yearly Yield data of rice  in Burdwan district of West Bengal, India over 39 years — Burdwanriceyield

A data frame with 39 rows of 2 variables<dl>
<dt>Year</dt>
<dd>starting year of data</dd>

<dt>burdwan</dt>
<dd>rice yield data of burdwan district</dd>


</dl>

Burdwanriceyield: Yearly Yield data of rice in Burdwan district of West Bengal, India over 39 years

Description

Usage

Arguments

Format

Examples