Legume Cowpea Leaves Classification for Crop Phenotyping Using Deep Learning and Big Data

Crop phenotyping plays a critical role in precision agriculture by enabling the accurate assessment of plant traits, supporting improved crop management, breeding programs, and yield optimization. However, cowpea leaves prese... | Find, read and cite all the research you need on Tech Science Press

Authors

Vijaya Choudhary (ORCID: https://orcid.org/0000-0003-3417-1943)
Paramita Guha (ORCID: https://orcid.org/0000-0001-6696-4812)
Giovanni Pau (ORCID: https://orcid.org/0000-0002-5798-398X)

Publication Details

Journal: Journal on big data
Published: 2025-01-01
DOI: https://doi.org/10.32604/jbd.2025.065122
Primary Topic: Smart Agriculture and AI
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Physical Laboratory

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article

Legume Cowpea Leaves Classification for Crop Phenotyping Using Deep Learning and Big Data

Vijaya Choudhary, Paramita Guha, Giovanni Pau

Jan 1, 2025

Journal on big data

Smart Agriculture and AI

article

Legume Cowpea Leaves Classification for Crop Phenotyping Using Deep Learning and Big Data

Vijaya Choudhary, Paramita Guha, Giovanni Pau

January 1, 2025article en

Abstract

Journal on big dataVol. 7(1)

National Physical Laboratory

Zero hunger

Openalex Percentile: Top 85%

Smart Agriculture and AI

DOI Open Access PDF OpenAlex

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Legume Cowpea Leaves Classification for Crop Phenotyping Using Deep Learning and Big Data — Vijaya Choudhary, Paramita Guha, et al. · Journal on big data (2025) | TGRS Research Map | TGRS