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Intelligent Soil Analysis and Precision Fertilizer & Pest Risk Management

K. S

2026 · DOI: 10.22214/ijraset.2026.78277
International Journal for Research in Applied Science and Engineering Technology · 0 Citations

TLDR

The project “Intelligent Soil Analysis and Precision Fertilizer & Pest Risk Management” proposes a smart digital solution that analyzes soil conditions using intelligent technologies such as image processing and machine learning and recommends suitable fertilizers to improve soil fertility and crop productivity.

Abstract

Agriculture plays an important role in global food production and economic development. Soil health directly affects

crop growth, productivity, and sustainable farming practices. Traditional soil testing methods require laboratory analysis, which

is often time-consuming and expensive for farmers. To address this challenge, the project “Intelligent Soil Analysis and

Precision Fertilizer & Pest Risk Management” proposes a smart digital solution. The system analyzes soil conditions using

intelligent technologies such as image processing and machine learning. Farmers can upload or capture soil images through the

application for analysis. The system identifies soil characteristics and evaluates soil quality. Based on the analysis, it

recommends suitable fertilizers to improve soil fertility and crop productivity. It also predicts possible pest risks that may affect

crops. The application provides preventive measures to reduce crop damage. The system is designed to be simple and userfriendly for farmers. This solution helps improve crop yield, reduce excessive fertilizer use, and support sustainable agriculture