Article

Review of The Current State of Deep Learning Applications in Agriculture

2025-04-16

Abstract excerpt

The integration of Deep Learning (DL) into agriculture marks a transformative shift towards Agriculture 4.0, addressing critical global challenges such as food security, climate change, and resource scarcity. This comprehensive review synthesizes the current state of DL applications in agriculture, focusing on key domains: precision crop management, livestock monitoring, soil analysis, and water management. DL, pr...

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Literature Corpus work: 4dacb042-0df7-57af-a1a8-8e86396fc60a
DOI: 10.20944/preprints202504.1290.v1

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