International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 2
April-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-based Fertilizer Recommendation System for Sustainable Agriculture

Author(s) Poojasree, B. Archana, K. Sravani, P. Suneetha
Country India
Abstract Farmers often struggle with fertilizer application due to limited access to scientific soil analysis and reliance on traditional methods. This leads to nutrient imbalance, soil degradation, higher costs, and reduced yields. Existing advisory systems provide only general recommendations, while government soil testing services are slow and lack farm-specific guidance.To address these challenges, this paper proposes an AI-based fertilizer recommendation system that analyzes soil nutrients (N, P, K), pH levels, and environmental conditions to deliver precise, crop-specific guidance. Machine learning algorithms such as Decision Trees and Random Forests are used to improve accuracy and reliability. A voice-enabled interface, supporting local languages like Telugu and Hindi, ensures accessibility for both literate and illiterate farmers.The system empowers farmers with personalized, real-time recommendations that reduce costs, improve productivity, and prevent fertilizer misuse. By promoting sustainable practices and protecting soil health, the solution bridges the gap between advanced agricultural science and everyday farming, contributing to long-term food security and rural development.
Keywords AI-based fertilizer recommendation system, Machine Learning algorithms (Decision Tree, Random Forest), Soil nutrient analysis (N, P, K, pH), Voice-enabled farmer advisory in local languages, Precision farming technology, Sustainable agriculture practices, Crop yield optimization.
Field Engineering
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-04-06
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org