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November 10, 2025Recent Advances in Computer Science and Communications

Application of Machine Learning and Deep Learning in Precision Agriculture for Crop Disease Detection and Pest Management

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Authors

RKRitu Raj KumarSKSatendra KumarAMArun Mittal

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Overview

Research demonstrates improved crop disease detection and pest management using machine learning in precision agriculture, highlighting advancements in food security.

Key Points

  • This research explores the use of machine learning and deep learning technologies for crop disease detection and pest management.
  • Review of existing literature on machine learning and deep learning in precision agriculture.
  • Assessment of automated crop monitoring and forecasting systems.
  • Evaluation of environmental stressors affecting plant health.
  • Machine learning models significantly enhance accuracy in crop disease detection.
  • Deep learning techniques show promise in pest prediction and management.
  • AI-driven approaches contribute to improved agricultural sustainability.

Cite This Study

Kumar et al. (2025) studied this question.

synapsesocial.com/papers/69253a31c0ce034ddc35784ehttps://doi.org/10.2174/0126662558393789251013123155
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Also Consider

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  1. 1Efficient Model on Corp Disease and Pest Detection with Deep Learning2024
  2. 2Crop Disease Prediction Using Deep Learning Algorithm - A Review2025
  3. 3Deep Learning Approaches for Crop Health Monitoring and Early Disease Detection: A Review2025 · 1 citations
  4. 4AI APPLICATION FOR CROP MONITORING AND PREDICT CROP DISEASES & SOIL QUALITIES2024 · 1 citations
  5. 5Machine Learning Framework for Early Detection of Crop Disease2024