Crop yield estimation using deep learning based on climate big data and irrigation scheduling K Alibabaei, PD Gaspar, TM Lima Energies 14 (11), 3004, 2021 | 100 | 2021 |
A review of the challenges of using deep learning algorithms to support decision-making in agricultural activities K Alibabaei, PD Gaspar, TM Lima, RM Campos, I Girão, J Monteiro, ... Remote Sensing 14 (3), 638, 2022 | 70 | 2022 |
Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal K Alibabaei, PD Gaspar, E Assunção, S Alirezazadeh, TM Lima Agricultural Water Management 263, 107480, 2022 | 49 | 2022 |
Modeling soil water content and reference evapotranspiration from climate data using deep learning method K Alibabaei, PD Gaspar, TM Lima Applied Sciences 11 (11), 5029, 2021 | 41 | 2021 |
Methods for detecting and classifying weeds, diseases and fruits using AI to improve the sustainability of agricultural crops: a review A Corceiro, K Alibabaei, E Assunção, PD Gaspar, N Pereira Processes 11 (4), 1263, 2023 | 28 | 2023 |
Real-time weed control application using a jetson nano edge device and a spray mechanism E Assunção, PD Gaspar, R Mesquita, MP Simões, K Alibabaei, A Veiros, ... Remote Sensing 14 (17), 4217, 2022 | 25 | 2022 |
Comparison of on-policy deep reinforcement learning A2C with off-policy DQN in irrigation optimization: A case study at a site in Portugal K Alibabaei, PD Gaspar, E Assunção, S Alirezazadeh, TM Lima, ... Computers 11 (7), 104, 2022 | 23 | 2022 |
Real-time image detection for edge devices: A peach fruit detection application E Assunção, PD Gaspar, K Alibabaei, MP Simões, H Proença, ... Future Internet 14 (11), 323, 2022 | 18 | 2022 |
Real-Time detection of vine trunk for robot localization using deep learning models developed for edge TPU devices K Alibabaei, E Assunção, PD Gaspar, VNGJ Soares, JMLP Caldeira Future Internet 14 (7), 199, 2022 | 15 | 2022 |
Modeling evapotranspiration using Encoder-Decoder Model K Alibabaei, PD Gaspar, TM Lima 2020 International Conference on Decision Aid Sciences and Application (DASA …, 2020 | 6 | 2020 |
Evaluation of a deep learning approach for predicting the fraction of transpirable soil water in vineyards K Alibabaei, PD Gaspar, RM Campos, GC Rodrigues, CM Lopes Applied Sciences 13 (5), 2815, 2023 | 5 | 2023 |
Crop yield estimation using deep learning based on climate big data and irrigation scheduling. Energies. 2021; 14: 3004 K Alibabaei, PD Gaspar, TM Lima s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 5 | 2021 |
Leveraging Machine Learning for Weed Management and Crop Enhancement: Vineyard Flora Classification A Corceiro, N Pereira, K Alibabaei, PD Gaspar Algorithms 17 (1), 19, 2023 | 3 | 2023 |
The pseudovariety of all nilpotent groups is tame K Alibabaei International Journal of Algebra and Computation 29 (06), 1019-1034, 2019 | 3 | 2019 |
Making federated learning accessible to scientists: The ai4eosc approach J Sáinz-Pardo Díaz, A Heredia Canales, I Heredia Cachá, V Tran, ... Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia …, 2024 | 2 | 2024 |
Every decidable pseudovariety of abelian groups is completely tame K Alibabaei Semigroup Forum 99, 106-125, 2019 | 2 | 2019 |
Application of Artificial Intelligence algorithms to support decision-making in agriculture activities K Alibabaei | 1 | 2023 |
On the profinite topology on solvable groups K Alibabaei Journal of Group Theory 20 (4), 729-743, 2017 | 1 | 2017 |
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas J Sáinz-Pardo Díaz, M Castrillo, J Bartok, IH Cachá, IM Ondík, ... Earth Science Informatics 17 (6), 5561-5584, 2024 | | 2024 |
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas JSP Díaz, M Castrillo, J Bartok, IH Cachá, IM Ondík, I Martynovskyi, ... arXiv preprint arXiv:2408.05761, 2024 | | 2024 |