Remote sensing in studies of the growing season: a bibliometric analysis
M Siłuch, P Bartmiński, W Zgłobicki - Remote Sensing, 2022 - mdpi.com
Analyses of climate change based on point observations indicate an extension of the plant
growing season, which may have an impact on plant production and functioning of natural …
growing season, which may have an impact on plant production and functioning of natural …
Simple model based on artificial neural network for early prediction and simulation winter rapeseed yield
G Niedbała - Journal of integrative agriculture, 2019 - Elsevier
The aim of the research was to create a prediction model for winter rapeseed yield. The
constructed model enabled to perform simulation on 30 June, in the current year …
constructed model enabled to perform simulation on 30 June, in the current year …
Application of artificial neural networks for multi-criteria yield prediction of winter rapeseed
G Niedbała - Sustainability, 2019 - mdpi.com
The aim of the work was to produce three independent, multi-criteria models for the
prediction of winter rapeseed yield. Each of the models was constructed in such a way that …
prediction of winter rapeseed yield. Each of the models was constructed in such a way that …
Application of artificial neural networks for yield modeling of winter rapeseed based on combined quantitative and qualitative data
Rapeseed is considered as one of the most important oilseed crops in the world. Vegetable
oil obtained from rapeseed is a valuable raw material for the food and energy industry as …
oil obtained from rapeseed is a valuable raw material for the food and energy industry as …
[PDF][PDF] Winter oilseed rape and winter wheat growth prediction using remote sensing methods.
JA Domínguez, J Kumhálová, P Novák - 2015 - researchgate.net
Remote sensing is often used for yield prediction as well as for crop monitoring. This paper
describes how Landsat satellite data can be used to derive a growth model calculated from …
describes how Landsat satellite data can be used to derive a growth model calculated from …
Using artificial neural network in determining postharvest LIFE of kiwifruit
A Mohammadi Torkashvand, A Ahmadi… - Journal of the …, 2019 - Wiley Online Library
BACKGROUND Artificial intelligence systems have been employed for the development of
predictive models that estimate many agricultural processes. RESULTS In present study, the …
predictive models that estimate many agricultural processes. RESULTS In present study, the …
Estimation of kiwifruit yield by leaf nutrients concentration and artificial neural network
AM Torkashvand, A Ahmadipour… - The Journal of …, 2020 - cambridge.org
There is a fundamental concern regarding the prediction of kiwifruit yield based on the
concentration of nutrients in the leaf (2–3 months before fruits harvesting). For this purpose …
concentration of nutrients in the leaf (2–3 months before fruits harvesting). For this purpose …
[PDF][PDF] Remote estimation of crop canopy parameters by statistical regression algorithms for winter rapeseed using Sentinel-2 multispectral images
D Ganeva, E Roumenina - Aerosp. Res. Bulg, 2018 - researchgate.net
Еstimation of crop canopy parameters is important task for remote sensing monitoring of
agriculture and constructing strategies for within-field management. The main objective of …
agriculture and constructing strategies for within-field management. The main objective of …
Applicability of parametric and nonparametric regression models for retrieval of crop canopy parameters for winter rapeseed and wheat crops using Sentinel-2 …
Parametric and nonparametric regression methods have been proven to successfully
retrieve crop canopy parameters. However, once those models are calibrated for certain …
retrieve crop canopy parameters. However, once those models are calibrated for certain …
Prediction of chamomile essential oil yield (Matricaria chamomilla L.) by physicochemical characteristics of soil.
N Khakipour, AM Torkashvand… - Advances in …, 2023 - search.ebscohost.com
The purpose of this study was to predict the percentage and yield of chamomile essential
oils using the artificial neural network system based on some soil physicochemical …
oils using the artificial neural network system based on some soil physicochemical …