Present study utilizes Principal Component Analysis (PCA) of 13 soil testing variables obtained from 28 vegetable growing locations of Kottayam district and there were a total of 718 samples for analysis. Thirteen Principal Components (PCs) were generated and five PCs could expla...
Open access
Research Article10.9734/irjpac/2021/v22i430404
The present paper used Principal Component Analysis (PCA) on 13 soil fertility parameters including soil pH and electrical conductivity of 17 vegetable growing panchyat/locations in Ernakulam district of Kerala based on 583 soil samples. Soil pH of panchayats varied from 4.2- 5.8...
Open access
Research Article10.9734/irjpac/2020/v21i1030208
The central composite design of Response surface methodology, statistical tool was used in this study for analyzing the effects of enzymatic treatment conditions namely; incubation time, incubation temperature and enzyme concentration on the percent yield. The jackfruit koozha pu...
Open access
Research Article10.9734/ejnfs/2020/v12i630235