What does this research mean for the field?

The integration of artificial intelligence techniques, such as machine learning and robotics, enhances agricultural productivity, efficiency, and sustainability by enabling data-driven farming decisions and minimizing resource wastage. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research investigates the applications and impact of artificial intelligence in agriculture.

June 1, 2025International Journal of Statistics and Applied MathematicsOpen Access

Role of artificial intelligence in agriculture: A comprehensive study for modern agriculture

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Authors

LKLalit KumarIndian Institute of Technology Ropar APAnkit ParwaliyaGovernment Ayurved College, Nanded SShiwamAmbedkar University Delhi

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Implication

Survey explores AI applications in agriculture, enhancing productivity and food security globally.

Key Points

This research investigates the applications and impact of artificial intelligence in agriculture.
Comprehensive survey of AI techniques used in agriculture
Review of case studies and global initiatives
Technical insight into AI algorithms and future adoption strategies.
AI enhances productivity and efficiency in agricultural practices.
Data-driven decision making improves resource management and food security.
Challenges and future prospects for AI integration in agriculture are identified.

Cite This Study

Kumar et al. (2025) studied this question.

synapsesocial.com/papers/6a207bd8389e15e238f48ebc https://doi.org/10.22271/maths.2025.v10.i6c.2074

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Role of artificial intelligence in agriculture: A comprehensive study for modern agriculture

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Implication

Key Points

Cite This Study

Role of artificial intelligence in agriculture: A comprehensive study for modern agriculture

Discussion

Member takes

Implication

Key Points

Cite This Study

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