Search Results - "algorithm"

Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series by Vrieling, A., Leeuw, Jan de, Said, Mohammed Yahya

“…We applied a variable threshold method in combination with a searching algorithm to determine start- and end-of-season. We obtained reliable LGP estimates for arid, semi-arid and sub-humid climates that are consistent in space and time. …”
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OPTIWAM: An intelligent tool for optimizing irrigation water management in coupled reservoir–groundwater systems by Fowe, T., Nouiri, I., Ibrahim, B., Karambiri, H., Paturel, J.E.

“…An approach based on a real coded Genetic Algorithm (GA) model was used to optimize water allocation from a coupled reservoir-groundwater system. …”
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Assessment of cluster yield components by image analysis by Diago-Santamaría, María P., Tardáguila, Javier, Aleixos, Nuria, Millan, Borja, Prats-Montalbán, José M., Cubero, Sergio, Blasco, José

“…The best results (R-2 between 69% and 95% in berry detection and between 65% and 97% in cluster weight estimation) were achieved using four images and the Canny algorithm. The model's capability based on image analysis to predict berry weight was 84%. …”
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Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks by Lorente, Delia, Aleixos, Nuria, Gómez-Sanchís, Juan, Cubero, Sergio, Blasco, José

“…The classifier used is a multilayer perceptron, trained with a new learning algorithm called extreme learning machine. The results are obtained using images of mandarins with the pixels labelled in five different classes: two kinds of sound skin, two kinds of decay and scars. …”
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Pearls as bycatch mitigation strategy for Harbour porpoise (Phoecena phoecena) by Gustafsson, Sara

“…Click behaviour was analysed and presented as number of buzzes per diel phase and buzz ratio per hour and per diel phase using a custom written Matlab algorithm. The study found that the use of pearls and using different spacing between pearls had a significant effect on porpoise presence. …”

Potential distribution of crop wild relatives under climate change in Sri Lanka: implications for conservation of agricultural biodiversity by Ratnayake, Sujith, Kariyawasam, Champika, Kumar, Lalit, Hunter, Danny, Liyanage, Athula

“…Therefore, it is important to study and understand the vulnerability of CWR to climate change, their potential distribution, and range dynamics for their conservation. Here we use Maxent algorithm to simulate the potential distribution across nine CWR species belonging to four crop genera, Cinnamomum, Piper, Vigna and Oryza in Sri Lanka and investigate how the predicted potential suitable areas change under climate change. …”
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Canal blocking optimization in restoration of drained peatlands by Urzainki, I., Laurén, A., Palviainen, M., Haahti, K., Budiman, A., Basuki, I., Netzer, M., Hökkä, H.

“…We developed a new method to position the canal blocks based on the combination of a hydrological model and heuristic optimization algorithms. We simulated 3 d dry downs from a water saturated initial state for different block positions using the Boussinesq equation, and the block configurations maximizing water table rise were searched for by means of genetic algorithm and simulated annealing. …”
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Analytical hierarchy process tool in Google Earth Engine platform: a case study of a tropical landfill site suitability by Bhattacharya, S., Ghosh, Surajit, Bhattacharyya, S.

“…AHP function is not available as a native algorithm or developed by any researcher in GEE. The tool has three major functionalities, of which the first one handles the UI elements. …”
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Data augmentation enhances plant-genomic-enabled predictions by Montesinos-Lopez, Osval A., Solis-Camacho, Mario Alberto, Crespo Herrera, Leonardo A., Saint Pierre, Carolina, Huerta Prado, Gloria Isabel, Ramos-Pulido, Sofia, Al-Nowibet, Khalid, Fritsche-Neto, Roberto, Gerard, Guillermo S., Montesinos-Lopez, Abelardo, Crossa, José

“…Deep neural networks with data augmentation (DA) generate synthetic data from the original training set to increase the training set and to improve the prediction performance of any statistical or machine learning algorithm. There is much empirical evidence of their success in many computer vision applications. …”
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Rapid analysis of starch, sugar, and amylose in fresh yam tubers and boiled yam texture using near-infrared hyperspectral imaging and chemometrics by Adesokan, M., Alamu, E.O., Otegbayo, B., Asfaw, A., Afolabi, M.O., Fawole, S., Meghar, K., Dufour, D., Ayetigbo, O., Davrieux, F., Maziya-Dixon, B.

“…The NIR-HSI system combined with three Effective Wavelengths (EWs) selection algorithms, including Successive Projections Algorithms (SPA), Competitive Adaptive Reweighted Sampling (CARS), and Boruta Algorithm (BA), was used to extract the important spectral features. …”
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Evaluating critical factors to the economic feasibility of semi-intensive pig rearing in western Kenya by Levy, M.A., Dewey, Catherine E., Weersink, A., Mutua, Florence K., Carter, N., Poljak, Z.

“…We developed a unique algorithm that emulates least-cost pig feeding and used it to assess the impact of the aforementioned factors on farmers’ maximum revenue and profit potential when pigs are sold to local butchers in western Kenya. …”
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Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan by Hamid, S.H., Mohamed, A.A., Mohamed, Yasir Abbas

“…The Surface Energy Balance Algorithm (SEBAL) was used to process the NOAA-AVHRR images. …”
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In silico mapping of Conserved Ortholog Set (COS) markers in the potato genome. by Lindqvist-Kreuze, H., Portal, L., Rodríguez, F., Simon, R., Mueller, L., Spooner, D.M., Bonierbale, Merideth W.

“…It is also possible that the potato reference sequence may contain small numbers of incorrectly oriented or misplaced scaffolds as well as genes that were not discovered by the gene prediction algorithm used. Further work focusing on the genome regions that from this work show contradictory results may facilitate the refinement of the genome assembly.…”
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EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis by Pulido Tamayo, Sergio, Duitama, Jorge, Marchal, Kathleen

“…To facilitate the exploration and analysis of data generated by bulked segregant analysis, we present EXPLoRA-web, a web service wrapped around our previously published algorithm EXPLoRA, which exploits linkage disequilibrium to increase the power and accuracy of quantitative trait loci identification in BSA analysis. …”
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Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach by Amarnath, Giriraj, Babar, S., Murthy, M.S.R.

“…The regression parameters viz., slope, offset and variance are used to identify threshold between forest and non-forest classes. The classification algorithm resulted into change area, no change area, positive change and negative changes. …”
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A SWAT modeling approach to assess the impact of climate change on consumptive water use in Lower Chenab Canal area of Indus basin by Awan, Usman K., Liaqat, Umar Waqas, Choi, Minha, Ismaeel, Ali

“…The estimated CWU using the SWAT model showed promising results (the coefficient of determination (R2) = 0.87 ± 0.06, Nash–Sutcliffe model efficiency (NSE) = 0.83 ± 0.06)) when compared with CWU determined by the Surface Energy Balance Algorithm (SEBAL) (R2 = 0.87 ± 0.06, NSE = 0.83 ± 0.06). …”
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The impact of climate change on coffee production in Central America by Bunn, Christian, Castro, Fabio, Lundy, Mark M.

“…The spatial distribution of these climate types was modeled using the machine learning algorithm Random Forest for current conditions and future projections from 19 global climate models. …”
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Citrus sorting by identification of the most common defects using multispectral computer vision by Blasco, José, Aleixos, Nuria, Gómez-Sanchís, Juan, Moltó, Enrique

“…This work summarises our research in the application of near-infrared, ultraviolet and fluorescence computer vision systems in the identification of the most common defects of citrus fruits, and proposes a fruit sorting algorithm that combines this different spectral information (including visible) to classify fruit according to the type of defect. …”
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In-line sorting of irregular potatoes by using automated computer-based machine vision system by ElMasry, Gamal, Cubero, Sergio, Moltó, Enrique, Blasco, José

“…This study was conducted to develop a fast and accurate computer-based machine vision system for detecting irregular potatoes in real-time. Supported algorithms were specifically developed and programmed for image acquisition and processing, controlling the whole process, saving the classification results and monitoring the progress of all operations. …”
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Colour segmentation of citrus fruits images for stem location by Ruiz, L. A., Moltó, Enrique, Juste, Florentino

“…The results point out an excellent performance of the classifier for the first two classes, and satisfactory for the other two. The location algorithm used information of areas and centroids to estimate the coordinates of the stem insertion point. …”
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