Toward Quantum-Enabled Precision Farming: A Hybrid Quantum Machine Learning Approach to Plant Disease Detection

Vaibhav Narkhede; Priyanka Narkhede

doi:10.64643/ijirtv13i2-206735-459

July 14, 2026International Journal of Innovative Research in TechnologyOpen Access

Toward Quantum-Enabled Precision Farming: A Hybrid Quantum Machine Learning Approach to Plant Disease Detection

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Key Points

This research aims to enhance plant disease detection using a hybrid quantum machine learning approach.
Evaluated effectiveness of quantum machine learning in disease detection.
Implemented a hybrid approach combining classical and quantum methodologies.
Analyzed data from various farming scenarios for accuracy.
Demonstrated a significant increase in detection accuracy compared to traditional methods.
Achieved a detection accuracy of over 90% across test cases, improving farming efficiency.

Implication

Hybrid quantum machine learning approach detects plant diseases, suggesting improved farming practices.

Abstract

Explore the article titled Toward Quantum-Enabled Precision Farming: A Hybrid Quantum Machine Learning Approach to Plant Disease Detection from IJIRT Volume 13, Issue 2. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Narkhede et al. (2026) studied this question.

synapsesocial.com/papers/6a59c664a58755010b4718bb https://doi.org/10.64643/ijirtv13i2-206735-459

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Toward Quantum-Enabled Precision Farming: A Hybrid Quantum Machine Learning Approach to Plant Disease Detection

Key Points

Implication

Abstract

Discussion

Cite This Study

Toward Quantum-Enabled Precision Farming: A Hybrid Quantum Machine Learning Approach to Plant Disease Detection

Key Points

Implication

Abstract

Discussion

Cite This Study

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