The goal of this study was to evaluate different clustering techniques in classifying the vegetable growing locations of Ernakulam (EKM) district of Kerala so that same nutrient recommendation can be prescribed for panchayats coming under the same cluster. Hierarchical clustering...
Open access
Research Article10.9734/ijpss/2022/v34i242666
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 study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from e...
Open access
Research Article10.9734/ajaees/2023/v41i92100
The study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from e...
Open access
Research Article10.9734/jeai/2023/v45i92182