Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector

Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector

Abstract Policymaking and administration of national tactics of action for food security rely heavily on advances in models for accurate estimation of food output. In several fields, including food science and engineering, machine learning (ML) has been established to be an effective tool for data i...

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Bibliographic Details
Main Authors: Swathi Baswaraju, V. Uma Maheswari, krishna Keerthi Chennam, Arunadevi Thirumalraj, M. V. V. Prasad Kantipudi, Rajanikanth Aluvalu
Format: Article
Language:English
Published: Springer Nature 2023-10-01
Series:Human-Centric Intelligent Systems
Subjects:
Accurate food production
Dense convolutional network
Rider optimization algorithm
Arithmetic optimization algorithm
Agricultural production
Livestock yield
Online Access:https://doi.org/10.1007/s44230-023-00046-y

Internet

https://doi.org/10.1007/s44230-023-00046-y

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