Crop yield forecasting by long short‐term memory network with Adam optimizer and Huber loss function in Andhra Pradesh, India-Reference-Cited by-同舟云学术

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Crop yield forecasting by long short‐term memory network with Adam optimizer and Huber loss function in Andhra Pradesh, India

Published:2022-09-18 Issue:27 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Dwaram Jayanarayana Reddy¹^ORCID,Madapuri Rudra Kumar²

Affiliation:

1. Department of Computer Science and Engineering Jawaharlal Nehru Technological University Anantapur Ananthapuramu India

2. Department of Computer Science and Engineering G Pullaiah College Of Engineering and Technology (Autonomous) Kurnool India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7310

Reference41 articles.

1. Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models

2. Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods

3. Hybrid prediction strategy to predict agricultural information

4. County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

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