Search Results - "algorithm"

An evaluation of void-filling interpolation methods for SRTM data by Reuter, HI, Nelson, A., Jarvis, Andy

“…These voids can be filled using a range of interpolation algorithms in conjunction with other sources of elevation data, but there is little guidance on the most appropriate void?…”
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Automatic calibration of a hydrologic model for simulating groundwater table fluctuations on farms in the everglades agricultural area of south Florida by Kwon, Ho-Young, Grunwald, S., Beck, H., Jung, Yunchul

“…The Shuffled Complex Evolution—Universal Algorithm (SCE-UA) is an automatic calibration algorithm that has shown success in finding a globally optimum objective function with more efficiency than other methods. …”
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An evaluation of flood inundation mapping from MODIS and ALOS satellites for Pakistan by Amarnath, Giriraj, Rajah, Ameer

“…The algorithm was applied to produce inundation maps for 10 annual flood seasons over the period from 2000 to 2011. …”
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Failed season drought probability by Jones, Peter G., Thornton, Philip K.

“…A failed season occurs when there is insufficient water to meet crop requirements. The failed season algorithm (FSA) has been used in a number of application including Hyman et al. 2008.…”
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Digitally improving the identification of aquatic macroinvertebrates for indices used in biomonitoring by Koen, R. C. J., Koen, F. J., Pattinson, N. B., Dickens, Chris W. S., Graham, P. M.

“…Furthermore, the potential for upscaling the machine-learning identification algorithm to assist in identifying the 91 family-level taxa used in SASS5 assessments has been explored. …”
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Potential impact of climate and socioeconomic changes on future agricultural land use in West Africa by Ahmed, K. F., Wang, G., You, Liangzhi, Yu, M.

“…In this study, we compare the contributions of climate change and socioeconomic development to potential future changes of agricultural land use in West Africa using a prototype land use projection (LandPro) algorithm. The algorithm is based on a balance between food supply and demand, and accounts for the impact of socioeconomic drivers on the demand side and the impact of climate-induced crop yield changes on the supply side. …”
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Field validation of NDVI to identify crop phenological signatures by Bhatti, Muhammad Tousif, Gilani, Hammad, Ashraf, M., Iqbal, Muhammad Shahid, Munir, Sarfraz

“…The Random Forest Machine Leaning algorithm was used in GEE as a classifier. Conclusion: The classification accuracy has been found 97% using this algorithm which suggests its usefulness in applying to other areas with similar agro-climatic characteristics.…”
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Resilience to climate-induced conflict in the Horn of Africa by Headey, Derek D., Maystadt, Jean-François, Calderone, Margherita Bernal

“…The Shuffled Complex Evolution—Universal Algorithm (SCE‐UA) is an automatic calibration algorithm that has shown success in finding a globally optimum objective function with more efficiency than other methods. …”
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Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques by Leggesse, E. S., Zimale, F. A., Sultan, D., Enku, T., Tilahun, Seifu A.

“…The RF algorithm was most effective for TP retrieval, with R2 of 0.73, MARE of 0.076, RMSE of 0.17 mg/L, and NS index of 0.74. …”
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Prediction of recurrent desert locust invasions under climate variability in the extended Sahara Desert: an evolutionary adaptive Neuro-Fuzzy approach by Agboka, K.M., Abdel-Rahman, E.M., Kimathi, E., Sokame, B.M., Landman, T., Niassy, S., Tonnang, H.E.Z.

“…Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) combined with a genetic algorithm (GA), we refined our predictive capabilities. …”
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Online fitted policy iteration based on extreme learning machines by Escandell-Montero, Pablo, Lorente, Delia, Martínez-Martínez, José M., Soria-Olivas, Emilio, Vila-Francés, Joan, Martín-Guerrero, José D.

“…This paper presents a novel RL algorithm, called online fitted policy iteration (OFPI), that steps forward in both directions. …”
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Improving clustering with metabolic pathway data by Milone, Diego Humberto, Stegmayer, Georgina, Lopez, Mariana Gabriela, Kamenetzky, Laura, Carrari, Fernando

“…Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. …”
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WorldFish – Weather Forecasting Prototype by Mudege, N.N.

“…The prototype is linked to the AI Model the team developed for the air and pond water temperature algorithm.…”
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Automated cropland mapping of continental Africa using Google Earth Engine cloud computing by Xiong, Jun, Thenkabail, Prasad S., Gumma, Murali K., Teluguntla, P., Poehnelt, J., Congalton, Russell, Yadav, K., Thau, D.

“…The RCLs for the year 2014 (RCL2014) were then used in the development of the ACMA algorithm to create ACMA-derived cropland layers for 2014 (ACL2014). …”
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SEONT: Agricultural Household Survey Ontology by CGIAR Platform for Big Data in Agriculture

“…A study case was performed with IRRI survey data about rice variety adoption to test SEONT content and validate ML concept extraction algorithm…”
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Comparative evaluation of the accuracy of mapping irrigated areas using Sentinel 1 images in the Bilate and Gumara watersheds, Ethiopia by Yimer, A. K., Haile, Alemseged Tamiru, Hatiye, S. D., Ragettli, S., Taye, Meron Teferi

“…Field data was gathered to both train and assess by employing random forest supervised classification algorithm. This algorithm was then applied to create accurate irrigation maps using high-resolution Sentinel-1 data for the Bilate and Gumara watersheds. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Bo, Yan, Liang, Hao, Li, Tao, Zhou, Feng

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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Prospects for Genomic Selection in Cassava Breeding by Wolfe, M.D., Carpio, D.P. del, Alabi, O., Ezenwaka, L.C., Ikeogu, Ugochukwu N., Kayondo, I.S., Lozano, R., Okeke, U.G., Ozimati, A.A., Williams, E., Egesi, Chiedozie N., Kawuki, Robert S., Kulakow, Peter A., Rabbi, Ismail Y., Jannink, Jean-Luc

“…Selection of a prediction model made some difference across generations, but increasing TP size was more important. With a genetic algorithm, selection of one-third of progeny could achieve an accuracy equivalent to phenotyping all progeny. …”
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Geospatial approach for delineating extrapolation domains for sustainable agricultural intensification technologies by Muthoni, Francis K., Baijukya, Frederick P., Sseguya, H., Bekunda, Mateete A., Hoeschle-Zeledon, Irmgard, Ouko, E., Mubea, K.

“…This paper employs novel extrapolation detection (ExeDet) algorithm and gridded bioclimatic layers to delineate extrapolation domains for improved maize variety (SC719) and inorganic fertilizers (YaraMila-CEREAL® and YaraBela-Sulfan®) in Tanzania. …”
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Classification of ground lichen using Sentinel-2 and airborne laser data by Larsson, Helene

“…Classifcation of lichen coverage was carried out with the Random Forest algorithm, and 90 field plots were used as training data. …”