Information on weed distribution within the field is necessary to implement spatially variable herbicide application. Since hand labor is costly, an automated weed control system could be feasible. This paper deals with the development of an algorithm for real time specific weed recognition system based on Histogram Maxima with threshold of an image that is used for the weed classification. Thi...

Invasive weeds threaten the biodiversity and forage productivity of grasslands worldwide. However, management of these weeds is constrained by the practical difficulty of detecting small-scale infestations across large landscapes and by limits in understanding of landscape-scale invasion dynamics, including mechanisms that enable patches to expand, contract, or remain stable. While high-end hyp...

The significance of accurate heating load (HL) approximation is the primary motivation this research to distinguish most efficient predictive model among several neural-metaheuristic models. proposed models are formulated through synthesizing a multi-layer perceptron network (MLP) with ant lion optimization (ALO), biogeography-based (BBO), dragonfly algorithm (DA), evolutionary strategy (ES), i...

This paper presents the application of three optimization algorithms to increase chaotic behavior fractional order Chen system. is achieved by optimizing maximum Lyapunov exponent (MLE). The applied techniques are evolutionary (EAs), namely: differential evolution (DE), particle swarm (PSO), and invasive weed (IWO). In each algorithm, process performed using 100 individuals generations from 50 ...

multiple traveling salesman problem (mtsp) is one of the most popular operation research problem and is known as combinatorial optimization problems. mtsp is an extension version of the famous and widely used problem named traveling salesman problem (tsp). because of its benefices in various domains, many researchers have tried to solve that, and many methods have proposed so far. mtsp is a np-...

Polypedilum (Pentapedilum) tuburcinatum Andersen et Bello González sp. n. is described and figured as male, female, pupa and larva based on material collected in the Eastern Cape Province in South Africa, imported into quarantine in Ireland and reared in the laboratory. The species feeds on the aquatic weed Lagarosiphon major (Ridl.) Moss ex Wager and is regarded as a promising candidate agent ...

The Tree-based Pipeline Optimization Tool (TPOT) is a state-of-the-art automated machine learning (AutoML) approach that automatically generates and optimizes tree-based pipelines using genetic algorithm. Although it has been proven to outperform commonly used techniques, its capability handle high-dimensional datasets not investigated. In vegetation mapping analysis, multi-date images are gene...

Abstract There are multiple peak functions in its output power characteristic curve of a photovoltaic (PV) array under partial shading conditions (PSCs), the perturb and observe (P&O) may fail to track global maximum point (GMPP). Therefore, reliable tracking (MPPT) technique is essential GMPP within an appropriate time. This article proposes hybrid by combining evolutionary optimization te...

In the context of site-specific weed management by vision systems, an efficient image processing for a crop/weed discrimination is required in order to quantify the Weed Infestation Rate (WIR) in an image. This paper presents a modeling of crop field in presence of different Weed Infestation Rates and a set of simulated agronomic images is used to test and validate the effectiveness of a crop/w...