Precision agriculture with machine learning: multi-crop identification from remote sensing data

Khushbu Maurya

doi:10.1504/ijaitg.2026.10077279

January 1, 2026International Journal of Agriculture Innovation Technology and Globalisation

Precision agriculture with machine learning: multi-crop identification from remote sensing data

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Key Points

The aim is to utilize machine learning for accurately identifying multiple crops from remote sensing data.
Applied machine learning algorithms to analyze remote sensing images.
Collected data from various agricultural fields across different environments.
Utilized advanced data analysis techniques to enhance crop identification accuracy.
Achieved significant improvement in identifying multiple crops compared to traditional methods.
Demonstrated potential for increasing efficiency in agricultural monitoring and management.

Implication

This research demonstrates multi-crop identification using machine learning techniques on remote sensing data, suggesting improved agricultural practices.

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Cite This Study

Khushbu Maurya (2026) studied this question.

synapsesocial.com/papers/69c7724e8bbfbc51511e2b78 https://doi.org/10.1504/ijaitg.2026.10077279

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Precision agriculture with machine learning: multi-crop identification from remote sensing data

Key Points

Implication

Discussion

Cite This Study

Precision agriculture with machine learning: multi-crop identification from remote sensing data

Key Points

Implication

Discussion

Cite This Study

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