Norbert Barta
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View article: Estimating Wheat Traits Using Artificial Neural Network-Based Radiative Transfer Model Inversion
Estimating Wheat Traits Using Artificial Neural Network-Based Radiative Transfer Model Inversion Open
Estimating wheat traits based on spectral reflectance measurements and machine learning remains challenging due to the large datasets required for model training and testing. To overcome this limitation, a simulated dataset was generated u…
WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture Open
Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective wee…
WE3DS: An RGB-D image dataset for semantic segmentation in agriculture Open
Here, we introduce a novel RGB-D image database (WE3DS) for semantic segmentation in crop farming. It contains 2,568 RGB-D images (color image and distance map) and hand-annotated ground-truth masks for semantic segmentation and is the fir…
WE3DS: An RGB-D image dataset for semantic segmentation in agriculture Open
Here, we introduce a novel RGB-D image database (WE3DS) for semantic segmentation in crop farming. It contains 2,568 RGB-D images (color image and distance map) and hand-annotated ground-truth masks for semantic segmentation and is the fir…
Modelling soil emissions and precision agriculture in fertilization life cycle assessment - A case study of wheat production in Austria Open
The environmental assessment of using optical crop sensors for variable rate nitrogen application (VRNA) has been limited by the lack of a robust method to quantify site- and technology-specific impacts. This study aimed to (1) present a c…
Yield and yield components of facultative wheat are affected by sowing time, nitrogen fertilization and environment Open
Production of wheat (Triticum aestivum L.) is affected by changing weather conditions, which are difficult to predict especially under climate change. Therefore, facultative varieties can be beneficial, because of their high adaptability i…
View article: Hyperspectral-Based Classification of Managed Permanent Grassland with Multilayer Perceptrons: Influence of Spectral Band Count and Spectral Regions on Model Performance
Hyperspectral-Based Classification of Managed Permanent Grassland with Multilayer Perceptrons: Influence of Spectral Band Count and Spectral Regions on Model Performance Open
Detailed knowledge of botanical composition is a key factor for the sustainable and site-specific management of permanent grassland and facilitates an improvement in the performance and efficiency of livestock feeding. Spectral-based data …
View article: Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland
Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland Open
Grassland vegetation typically comprises the species groups grasses, herbs, and legumes. These species groups provide different functional traits and feed values. Therefore, knowledge of the botanical composition of grasslands can enable i…
Partial budgeting for acquiring and operating a ground-based optical crop sensor for variable rate nitrogen application Open
Summary Optical crop sensors for variable rate nitrogen application (VRNA) are described as an optimal solution to increase yield while minimizing fertilizer costs, although their operation and acquisition costs could be high. In this stud…
Localization accuracy of a robot platform using indoor positioning methods in a realistic outdoor setting Open
Summary Precise localization and reliable navigation are of crucial importance in order to fully automatize tasks in agriculture using field robots in an outdoor environment. However, under certain conditions, absolute localization accurac…
Influence of tillage depth of a cultivator on the incorporation of crop residues of winter barley in a chernozem soil Open
Summary Although crop residues contribute to erosion control, the influence of the tillage depth (TD) on their incorporation has not been studied extensively. The main objective of this study was to determine the differences in the amount …