Anikó Éva Nyéki
Citata da
Citata da
Effects of soil compaction on cereal yield: A review
A Nyéki, G Milics, AJ Kovács, M Neményi
Cereal research communications 45, 1-22, 2017
Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods
A Nyéki, C Kerepesi, B Daróczy, A Benczúr, G Milics, J Nagy, E Harsányi, ...
Precision Agriculture 22, 1397-1415, 2021
Crop yield prediction in precision agriculture
A Nyéki, M Neményi
Agronomy 12 (10), 2460, 2022
Improving yield advisory models for precision agriculture with special regards to soil compaction in maize production
A Nyéki, G Milics, AJ Kovács, M Neményi
Precision agriculture'13, 443-450, 2013
Applying IoT sensors and big data to improve precision crop production: a review
T Alahmad, M Neményi, A Nyéki
Agronomy 13 (10), 2603, 2023
Using the Ceres-Maize model to simulate crop yield in a long-term field experiment in Hungary
A Zelenák, A Szabó, J Nagy, A Nyéki
Agronomy 12 (4), 785, 2022
Soil moisture distribution mapping in topsoil and its effect on maize yield
G Milics, AJ Kovács, A Pörneczi, A Nyéki, Z Varga, V Nagy, Ľ Lichner, ...
Biologia 72 (8), 847-853, 2017
Architecting farmer-centric internet of things for precision crop production
AÉ Nyéki, G Teschner, B Ambrus, M Neményi, AJ Kovács
Hungarian Agricultural Engineering 38, 71-78, 2020
Maize yield prediction based on artificial intelligence using spatio-temporal data
A Nyéki, C Kerepesi, B Daróczy, A Benczúr, G Milics, AJ Kovács, ...
Precision agriculture'19, 1011-1017, 2019
Climate change and sustainable precision crop production with regard to maize (Zea mays L.)
AJ Kovács, A Nyéki, G Milics, M Neményi
International Conference on Precision Agriculture. Sacramento, CA, USA, 2014
Spatial variability of soil properties and its effect on maize yields within field—a case Study in Hungary
A Nyéki, B Daróczy, C Kerepesi, M Neményi, AJ Kovács
Agronomy 12 (2), 395, 2022
Challenges of sustainable agricultural development with special regard to Internet of Things: Survey
M Neményi, AJ Kovács, J Oláh, J Popp, E Erdei, E Harsányi, B Ambrus, ...
Progress in Agricultural Engineering Sciences 18 (1), 95-114, 2022
Predicting modified Fournier index by using artificial neural network in Central Europe
E Harsányi, B Bashir, F Alsilibe, MFU Moazzam, T Ratonyi, A Alsalman, ...
International Journal of Environmental Research and Public Health 19 (17), 10653, 2022
Application possiblities and benefits of IOT (internet of things) in agricultural practice. Quo vadis IOT?
A Nyéki, M Neményi, G Teschner, G Milics, AJ Kovács
Hungarian Agricultural Engineering, 90-96, 2020
Conference report from 13th European Conference on Precision Agriculture (ECPA)
A Nyéki, AJ Kovács, M Neményi, G Milics
Environmental Sciences Europe 33, 1-3, 2021
Drónnal végzett mezőgazdasági területmérés színszűrés és Fuzzy logika segítségével
G Teschner, N Gombkötő, AÉ Nyéki
Acta Agronomica Óváriensis 60 (1), 118-138, 2019
The energy balance of maize production–alternative approaches
T Horváth, A Nyéki, M Neményi
Acta Agraria Debreceniensis, 59-63, 2018
Precision agricultural technology for advanced monitoring of maize yield under different fertilization and irrigation regimes: A case study in Eastern Hungary (Debrecen)
A Széles, L Huzsvai, S Mohammed, A Nyéki, P Zagyi, É Horváth, K Simon, ...
Journal of Agriculture and Food Research 15, 100967, 2024
Global challenges and the ‘farm to fork’strategies of the European Green Deal: Blessing or curse
J Popp, J Oláh, M Neményi, A Nyéki
Progress in Agricultural Engineering Sciences, 2024
Weed Detection and Classification with Computer Vision Using a Limited Image Dataset
L Moldvai, PÁ Mesterházi, G Teschner, A Nyéki
Applied Sciences 14 (11), 4839, 2024
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
Articoli 1–20