Results 31 to 40 of about 321,230 (311)

CONSISTENT YIELD CURVE PREDICTION

ASTIN Bulletin, 2016
AbstractWe present an arbitrage-free non-parametric yield curve prediction model which takes the full discretized yield curve data as input state variable. Absence of arbitrage is a particularly important model feature for prediction models in case of highly correlated data as, for instance, interest rates.
Teichmann, Josef, Wüthrich, Mario V.
openaire   +2 more sources

Artificial Neural Network Based Apple Yield Prediction Using Morphological Characters

Horticulturae, 2023
The yield of the crop is a complex function of a number of dependent traits, which makes yield prediction a statistically difficult task. A number of work on yield prediction using morphological characters already exists in the literature.
Bharti, Pankaj Das, Rahul Banerjee, Tauqueer Ahmad, Sarita Devi, Geeta Verma   +5 more
doaj   +1 more source

High-Resolution Flowering Index for Canola Yield Modelling

Remote Sensing, 2022
Canola (Brassica napus), with its prominent yellow flowers, has unique spectral characteristics and necessitates special spectral indices to quantify the flowers. This study investigated four spectral indices for high-resolution RGB images for segmenting
Hansanee Fernando, Thuan Ha, Anjika Attanayake, Dilshan Benaragama, Kwabena Abrefa Nketia, Olakorede Kanmi-Obembe, Steven J. Shirtliffe   +6 more
doaj   +1 more source

Development of a Multi-Scale Tomato Yield Prediction Model in Azerbaijan Using Spectral Indices from Sentinel-2 Imagery

Remote Sensing, 2022
This paper presents the development and update of a multi-scale yield prediction model for processing tomatoes. The study was carried out under the EU-funded programme “Support to Development of a Rural Business Information System (RBIS)”, and the ...
Vasilis Psiroukis, Nicoleta Darra, Aikaterini Kasimati, Pavel Trojacek, Gunay Hasanli, Spyros Fountas   +5 more
doaj   +1 more source

Genetic relationships between spring emergence, canopy phenology, and biomass yield increase the accuracy of genomic prediction in Miscanthus [PDF]

, 2017
Miscanthus has potential as a bioenergy crop but the rapid development of high-yielding varieties is challenging. Previous studies have suggested that phenology and canopy height are important determinants of biomass yield. Furthermore, while genome-wide
Robson, P., Sarah Hawkins, Kerrie Farrar, Davey, C. L., John C Clifton-Brown, Slavov, G., Clifton-Brown, J. C., Hawkins, S., Farrar, K., Paul Robson, Gancho T Slavov, Donnison, I. S., Iain S Donnison, Christopher L Davey   +13 more
core   +1 more source

The Yield Curve and Predicting Recessions [PDF]

SSRN Electronic Journal, 2006
The slope of the Treasury yield curve has often been cited as a leading economic indicator, with inversion of the curve being thought of as a harbinger of a recession. In this paper, I consider a number of probit models using the yield curve to forecast recessions. Models that use both the level of the federal funds rate and the term spread give better
openaire   +2 more sources

Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables [PDF]

, 2022
Crop yield forecasting is critical for enhancing food security and ensuring an appropriate food supply. It is critical to complete this activity with high precision at the regional and national levels to facilitate speedy decision-making.
Ahmed, A. A. Masrur, Sharma, Ekta, Raj, Nawin, Md Wasique Islam Chowdhury, A. A. Masrur Ahmed, Soar, Jeffrey, S Janifer Jabin Jui, Nawin Raj, Jeffrey Soar, Aditi Bose, Bose, Aditi, Ekta Sharma, Jui, S. Janifer Jabin, Chowdhury, Md Wasique Islam   +13 more
core   +1 more source

Reaction classification and yield prediction using the differential reaction fingerprint DRFP [PDF]

, 2021
Predicting the nature and outcome of reactions using computational methods is a crucial tool to accelerate chemical research. The recent application of deep learning-based learned fingerprints to reaction classification and reaction yield prediction has ...
Reymond, Jean-Louis, Probst, Daniel, Jean-Louis, Reymond, Daniel, Probst, Philippe , Schwaller, Schwaller, Philippe   +5 more
core   +1 more source

Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging

Agronomy, 2019
An early and precise yield estimation in intensive managed grassland is mandatory for economic management decisions. RGB (red, green, blue) cameras attached on an unmanned aerial vehicle (UAV) represent a promising non-destructive technology for the ...
Esther Grüner, Thomas Astor, Michael Wachendorf   +2 more
doaj   +1 more source

Corn Yield Prediction With Ensemble CNN-DNN [PDF]

Frontiers in Plant Science, 2021
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The developed data set is a combination of management, environment, and historical corn yields from 1980 to 2019.
Shahhosseini, Mohsen, Khaki, Saeed, Archontoulis, Sotirios, Hu, Guiping   +3 more
openaire   +5 more sources