Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 25, 2026Journal of the Indian Society of Soil ScienceOpen Access

Comparative Analysis of Soil Classification Techniques to Predict Fertility Index for Kolhapur District, Maharashtra

View Full Paper
Ask AI
Bookmark
Share

Authors

VHVijayatai HukareSSSnehal SankannaVKVidya Kumbhar

Discussion

Loading...

Member takes

Overview

Comparative analysis predicts soil fertility index, suggesting optimal fertilizers for agriculture innovation.

Key Points

  • The aim is to predict soil fertility using classification techniques based on soil characteristics.
  • Analyzed soil data from 2019-20 with 7099 samples.
  • Examined properties like macronutrients and micronutrients.
  • Used data mining classification algorithms including J48, Naive Bayes, JRip, PART, and REPTree.
  • The J48 algorithm achieved 99% accuracy in predicting the fertility index.
  • Other algorithms showed lower accuracy compared to J48.
  • The decision tree provided by J48 helps suggest suitable fertilizers based on soil nutrients.

Cite This Study

Hukare et al. (2025) studied this question.

synapsesocial.com/papers/69c37c33b34aaaeb1a67ef7dhttps://doi.org/10.5958/0974-0228.2025.00016.8
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Prediction of soil fertility parameters using USB-microscope imagery and portable X-ray fluorescence spectrometry2024 · 15 citations
  2. 2Predicting Soil Fertility in Semi-Arid Agroecosystems Using Interpretable Machine Learning Models: A Sustainable Approach for Data-Sparse Regions2025 · 10 citations
  3. 3Fertility Evaluation of Temperate Farm Soils of Krishi Vigyan Kendra Doda in NW Himalayas, India2024
  4. 4Soil Fertility Detection For Crop Recommendation2024 · 1 citations
  5. 5Soil Fertility Prediction Using Combined USB-microscope Based Soil Image, Auxiliary Variables, and Portable X-Ray Fluorescence Spectrometry2024