Image-based plant phenoty** is a growing application area of computer vision in
agriculture. A key task is the segmentation of all individual leaves in images. Here we focus …

Between the 1960s and the present day, the use of morphology in plant taxonomy suffered a
major decline, in part driven by the apparent superiority of DNA-based approaches to data …

Weeds can be major environmental and economic burdens in New Zealand. Traditional
methods of weed control including manual and chemical approaches can be time …

This paper proposes a stacking ensemble classification model to classify the different Power
Quality Disturbances (PQDs) in Photovoltaic (PV) integrated power network. For this study …

Eminently, the countries of develo** state have their economy based on agricultural crop
yieldings. To retain the economic growth of these countries, the agricultural plants' disease …

Ensemble methods give better performance compared to a single machine learning
algorithm. Vote is one of the best ensembles. Vote merges predictions from Simple Logistics …

The paper presents a new hybrid ensemble approach consisting of a combination of
machine learning algorithms, a feature ranking method and a supervised instance filter. Its …

Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease Page 1 Information
Technology and Control 2022/1/51 158 Dual-Layer Deep Ensemble Techniques for …

The main pollinator commercially available, ie Apis mellifera, is now facing a severe
population decrease worldwide due to the so-called Colony Collapse Disorder. Measures to …

Highlights•A sorting machine designed and fabricated for classifying chicken
portions.•Proposed a fast and robust image processing methodology for automated …