Crop Yield Prediction Using Machine Learning Hybridization-Based Crop Yield Prediction (MLH-CYP) System

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of System of Systems Engineering
Published
2024-10-20
DOI
https://doi.org/10.1504/ijsse.2026.10067295
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Crop Yield Prediction Using Machine Learning Hybridization-Based Crop Yield Prediction (MLH-CYP) System

Victo Sudha George, M. Revathi, V Kanya
International Journal of System of Systems Engineering
Smart Agriculture and AI
article

Crop Yield Prediction Using Machine Learning Hybridization-Based Crop Yield Prediction (MLH-CYP) System

Victo Sudha George, M. Revathi, V Kanya
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of System of Systems EngineeringVol. 16(6)
Zero hunger
Openalex Percentile: Top 90%
Smart Agriculture and AI
DOISourceOpenAlex
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Crop Yield Prediction Using Machine Learning Hybridization-Based Crop Yield Prediction (MLH-CYP) System — Victo Sudha George, M. Revathi, et al. · International Journal of System of Systems Engineering (2024) | TGRS Research Map | TGRS