Robust Multisensor Prediction of Drought-Induced Yield Anomalies of Soybeans in Argentina
Author:
Affiliation:
1. CONICET, Buenos Aires, Argentina
2. FAUBA, Buenos Aires, Argentina
Funder
ANPIDTI
SISSA Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09770421.pdf?arnumber=9770421
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1. Regression Shrinkage and Selection Via the Lasso
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1. Devising of an Efficient Multi-parametric System for Prediction of Crop Yield using Augmented Incremental Machine & Deep Learning Operations;Journal of Electrical Systems;2024
2. Prediction of Crops Based on a Machine Learning Algorithm;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23
3. IOT-Based Innovative Agriculture Farming System Based on Rover-Drone Surveillance Sensing Unit Using Feature Selection and Classification Techniques;Transactions on Computer Systems and Networks;2023
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