artificial neural network Concept

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Cock, James, Emerito, The Alliance of Bioversity International and CIAT, The Alliance of Bioversity and CIAT
Jimenez, Daniel, Scientist, The Alliance of Bioversity International and CIAT, The Alliance of Bioversity and CIAT
JULIANA, Philomin, Associate Scientist - Bread Wheat Breeder, CIMMYT, CIMMYT
PEREZ RODRIGUEZ, Paulino, Consultant, CIMMYT, CIMMYT

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A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data.
Agricultural Strategic Commodity Price Forecasting Using Artificial Neural Network
Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data
Application of artificial neural networks as a predictive method to differentiate the wood of Pinus sylvestris L. and Pinus nigra Arn subsp. salzmannii (Dunal) Franco
Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images.
Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials.
Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials.
Drought forecasting using artificial neural networks and time series of drought indices
Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models
Enhancing the performance of regional land cover mapping
Estimation of flow in ungauged catchments by coupling a hydrological model and neural networks: case study
Focused identification of germplasm strategy (FIGS) detects wheat stem rust resistance linked to environmental variables
Function Approximation and Documentation of Sampling Data Using Artificial Neural Networks
Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data.
Genome-enabled prediction of genetic values using radial basis function neural networks
Linking crop simulation models with Artificial Neural Networks for characterization of Target Population of Environments (TPEs) and abiotic stresses in lowland rice
Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture.
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
Technical Note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding
The institutional determinants of CO2 emissions: a computational modeling approach using Artificial Neural Networks and Genetic Programming
Understanding Helicoverpa armigera pest population dynamics related to chickpea crop using neural networks

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