BECOME A MEMBERAPPLICATION OF DATA MINING IN CROP PROTECTION
Read Full ArticleKeywords
- Crop protection
- Data mining
- Machine learning
- Precision agriculture
- Pest detection
Magazine: July-September 2025
Page: 57 - 69
Volume: 5
Issue: 3
Issue Date: 10 October 2025
Abstract
Artificial Intelligence (AI) has revolutionized agriculture by generating vast amounts of data through technologies like drones and GPS. However, managing and analyzing such complex data requires advanced approaches. Data mining has emerged as a vital tool for uncovering hidden patterns, supporting precise decision-making, and addressing critical challenges in crop protection. Applications include classifying herbicide resistance detecting invasive weeds using deep neural networks monitoring pesticide residues through intelligent systems like PRIAS diagnosing plant diseases using SVM classifiers and improving paddy leaf disease monitoring with big data models. Overall, data mining strengthens agricultural sustainability and food security in a data-driven era.