ISSN: 2265-6294

DEEP LEARNING APPROACH FOR MULTI-CLASS HOPS CLASSIFICATION FOR YIELD IMPROVMENT

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R. Dinesh Kumar , M. Arjun , A. Shankrith , K. Thrived Kumar

Abstract

Agriculture, the bedrock of human civilization, sustains life and fuels various industries. With burgeoning global populations and shifting climate patterns, there's a growing imperative for inventive methods to optimize crop production. Precision agriculture, leveraging technology, stands as a beacon, streamlining operations, curbing resource wastage, and bolstering yields. Advanced crop classification, notably in crops like hops, presents a potential paradigm shift in this domain. Traditional agriculture leaned heavily on manual labor and basic tools.

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