IoT-based System to Forecast Crop Frost. - M. Ángel Guillén-Navarro; Fernando Pereñíguez-Garcia; Raquel Martínez-España (Intelligent Environments, 2017)

A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process. - M. Ángel Guillén-Navarro; José Manuel Cadenas; M. Carmen Garrido; Belén Ayuso; Raquel Martínez-España (Intelligent Environments (Workshops), 2018)

An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture. - M. Ángel Guillén-Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Belén Ayuso; Jose Luis Moreno; José M. Cecilia (Intelligent Environments (Workshops), 2019)

Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops. - M. Ángel Guillén-Navarro; José Manuel Cadenas; M. Carmen Garrido; Belén Ayuso; Raquel Martínez-España (Agriculture and Environment Perspectives in Intelligent Systems, 2019)

Evaluation of parallel programming teaching methodologies: On-campus versus online methodologies. - Magdalena Cantabella; Miguel Ángel Guillén; Belén López; Andrés Muñoz 001; José M. Cecilia (Comput. Appl. Eng. Educ., 2020)

Making decisions for frost prediction in agricultural crops in a soft computing framework. - José Manuel Cadenas; María del Carmen Garrido; Raquel Martínez-España; Miguel A. Guillén-Navarro (Comput. Electron. Agric., 2020)

A deep learning model to predict lower temperatures in agriculture. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Antonio Llanes; Andrés Bueno-Crespo; José M. Cecilia (J. Ambient Intell. Smart Environ., 2020)

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Juan Morales-García; Belén Ayuso; José M. Cecilia (Sensors, 2020)

A high-performance IoT solution to reduce frost damages in stone fruits. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Belén López; José M. Cecilia (Concurr. Comput. Pract. Exp., 2021)

Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. - Miguel Ángel Guillén; Antonio Llanes; Baldomero Imbernón; Raquel Martínez-España; Andrés Bueno-Crespo; Juan-Carlos Cano; José M. Cecilia (J. Supercomput., 2021)