AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction

AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction

Abstract This article explores the integration of advanced Artificial Intelligence (AI) enabled deep learning methods with accurate crop yield prediction. The objective of the work is to enhance the accuracy, sensitivity, and specificity of crop yield prediction. Also, false positive and false negat...

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Bibliographic Details
Main Authors: Rajesh Kumar Dhanaraj, Nithya Rekha Sivakumar, Firoz Khan, Mahmoud Ahmad Al-Khasawneh
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Barilai–Borwein gradient
Min–max Normalization
Blinder–Oaxaca Statistical Decomposition
Bernoulli Deep Belief Network
Online Access:https://doi.org/10.1038/s41598-025-03935-3
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https://doi.org/10.1038/s41598-025-03935-3

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