Fig 1.
Plot of normal probability for the citrus canker disease predictive model based on two years data.
Fig 2.
Residual versus fit plot for the regression model of citrus canker disease.
Table 1.
Regression model’s coefficients of variables for citrus canker disease.
Fig 3.
A fitted line plot for citrus canker disease with observed and predicted data points at 95% confidence and predictive intervals.
Table 2.
Pearson correlation matrix of various environmental factors with citrus canker disease on different citrus varieties during 2017–18.
Table 3.
Correlation of environmental factors with canker disease on different varieties of citrus for 2018–19.
Fig 4.
Relationship of maximum temperature with the development of citrus canker disease with during 2017–18 (A) and 2018–19 (B).
Fig 5.
Relationship of minimum temperature with the development of citrus canker disease during 2017–18 (A) and 2018–19 (B).
Fig 6.
Relationship of relative humidity with the development of citrus canker disease during 2017–18 (A) and 2018–19 (B).
Fig 7.
Relationship of rainfall with the development of citrus canker disease during 2017–18 (A) and 2018–19 (B).
Fig 8.
Relationship of wind speed with the development of citrus canker disease during 2017–18 (A) and 2018–19 (B).