Artikel
Stochastic analysis and neural network-based yield prediction with precision agriculture
In this paper, we propose a general mathematical model for analyzing yield data. The data analyzed in this paper come from a characteristic corn field in the upper midwestern United States. We derive expressions for statistical moments from the underlying stochastic model. Consequently, we illustrate how a particular feature variable contributes to the statistical moments (and in effect, the characteristic function) of the target variable (i.e., yield). We also analyze the data with neural network techniques and provide two methods of data analysis. This mathematical model and neural network-based data analysis allow for better understanding of the variability within the data set, which is useful to farm managers attempting to make current and future decisions using the yield data. Lenders and risk management consultants may benefit from the insights of this mathematical model and neural network-based data analysis regarding yield expectations.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 14 ; Year: 2021 ; Issue: 9 ; Pages: 1-17 ; Basel: MDPI
- Classification
-
Wirtschaft
- Subject
-
categorical data
neural networks
precision agriculture
statistical moments
yield
- Event
-
Geistige Schöpfung
- (who)
-
Shoshi, Humayra
Hanson, Erik
Nganje, William
SenGupta, Indranil
- Event
-
Veröffentlichung
- (who)
-
MDPI
- (where)
-
Basel
- (when)
-
2021
- DOI
-
doi:10.3390/jrfm14090397
- Handle
- Last update
-
10.03.2025, 11:45 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Shoshi, Humayra
- Hanson, Erik
- Nganje, William
- SenGupta, Indranil
- MDPI
Time of origin
- 2021
Other Objects (12)
Phenotype Relevant Network-based Biomarker Discovery Integrating Multiple Omics Data : EMT Network-based Lung Cancer Prognosis Prediction
Yield curve prediction for the strategic investor
Yield curve prediction for the strategic investor
Bayesian prediction for stochastic processes
A network-based approach for semi-quantitative knowledge mining and its application to yield variability
Stochastic automata: stability, nondeterminism, and prediction
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Non-Bayesian testing of a stochastic prediction
Network-based asset allocation strategies
Contributions to neural network-based speech processing: nonlinear speech prediction, decoder postprocessing, and perceptual loss functions
Bayesian prediction for stochastic process models in reliability
Information Causality in the Prediction of Stochastic Networks
Phenotype Relevant Network-based Biomarker Discovery Integrating Multiple Omics Data : EMT Network-based Lung Cancer Prognosis Prediction
Yield curve prediction for the strategic investor
Yield curve prediction for the strategic investor
Bayesian prediction for stochastic processes
A network-based approach for semi-quantitative knowledge mining and its application to yield variability
Stochastic automata: stability, nondeterminism, and prediction
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Non-Bayesian testing of a stochastic prediction
Network-based asset allocation strategies
Contributions to neural network-based speech processing: nonlinear speech prediction, decoder postprocessing, and perceptual loss functions
Bayesian prediction for stochastic process models in reliability
Information Causality in the Prediction of Stochastic Networks
Phenotype Relevant Network-based Biomarker Discovery Integrating Multiple Omics Data : EMT Network-based Lung Cancer Prognosis Prediction
Yield curve prediction for the strategic investor
Yield curve prediction for the strategic investor
Bayesian prediction for stochastic processes
A network-based approach for semi-quantitative knowledge mining and its application to yield variability
Stochastic automata: stability, nondeterminism, and prediction
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Non-Bayesian testing of a stochastic prediction
Network-based asset allocation strategies
Contributions to neural network-based speech processing: nonlinear speech prediction, decoder postprocessing, and perceptual loss functions
Bayesian prediction for stochastic process models in reliability