Resultados de búsqueda - "algorithm"

SALTIRSOIL: a simulation model for the mid to long-term prediction of soil salinity in irrigated agriculture por Visconti, Fernando, De-Paz, José M., Rubio, José L., Sanchez, J.

“…It extends the concept of the WATSUIT model to include irrigation and crop management practices, advances in the calculation of evapotranspiration and new algorithms for the water stress coefficient and calculation of electrical conductivity. …”
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Aportes y perspectivas del mejoramiento genético de yuca para el fortalecimiento de su red de valor en Colombia por Orozco Guerrero, Alfonso Rafael, Espitia Montes, Amaury Aroldo, Pérez Cantero, Shirley Patricia, Rosero Alpala, Elvia Amparo, Regino Hernández, Sol Mara, García Herazo, Jorge Luis, Martínez Figueroa, Remberto Rafael, De la Ossa Albis, Víctor Alfonso, Rodríguez Henao, Eberto, Garavito Morales, Lina Vanessa, León Pacheco, Rommel Igor, Alarcón Beltrán, Karen Andrea, Cordero Cordero, Carina Cecilia, González, Juan Carlos, Pérez Zúñiga, José Ives, Silva Acosta, Gabriel Ernesto, Taborda Andrade, Luis Alejandro, Contreras Valencia, Katia Vanesa, Tran, Thierry, Lenis Calderón, Jorge Iván, Salazar Erazo, Sandra Milena, Gallego Castillo, Sonia, Belalcázar Martínez, John Eiver, Ceballos Lascano, Hernán, Pino Durán, Lizbeth, Zhang, Xiaofei, Morante Herrera, Nelson, Calle Calle, Fernando, Montes Pérez, Martha Liliana, Montejo Núñez, Luis Giovanni, Sandoval Contreras, Héctor Augusto

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Cattle herd dynamics: An integer and stochastic model for evaluating production alternatives por Konandreas, P.A., Anderson, F.M.

“…Presents a cattle herd simulation model which is time dynamic, stochastic, non-optimizing & integer and permits the evaluation of herd performance under alternative production regimes; discusses the analytical background to the biological relationships represented in the model, describes detailed algorithms used in the computer simulation model, and outlines necessary steps for the application of the model.…”
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Assessing the skill of gridded satellite and re-analysis precipitation products over altitudinal gradient in East and Southern Africa por Muthoni, Francis K., Kigosi, Exavery

“…Validation of gridded precipitation products (GPP’s) increase confidence of the users and highlights possible improvements of the algorithms to handle complex rainfall forming processes. …”
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Automatic sex detection of individuals of Ceratitis capitata by means of computer vision in a biofactory por Blasco, José, Gómez-Sanchís, Juan, Gutiérrez, Abelardo, Chueca, Patricia, Argilés, Rafael, Moltó, Enrique

“…The paper explores the possibility of using vision sensors and pattern recognition algorithms for automated detection of recombinants. …”
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Integrating APSIM model with machine learning to predict wheat yield spatial distribution por Kheir, A.M.S., Mkuhlani, S., Mugo, J.W., Elnashar, A., Nangia, V., Devare, Medha, Govind, A.

“…Combining machine learning algorithms with spatial process-based models could be considered an appropriate solution. …”
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Evaluating the dry matter content of raw yams using hyperspectral imaging spectroscopy and machine learning por Adesokan, M., Otegbayo, B., Alamu, E.O., Olutoyin, M.A., Maziya-Dixon, B.

“…Partial least square regression (PLSR) combined with successive progressions algorithms (SPA), Competitive Adaptive Reweighted Sampling (CARS), Artificial Neural network (ANN) and Boruta algorithms (BA) were used to select the important wavelengths for developing a prediction model for DMC (g/100 g). …”
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Multi-temporal passive and active remote sensing for agricultural mapping and acreage estimation in context of small farm holds in Ethiopia por Mengesha, Tesfamariam Engida, Desta, Lulseged Tamene, Gamba, Paolo, Ayehu, Getachew Tesfaye

“…Supervised machine learning algorithms such as Support Vector Machine, Random Forest, Classification and Regression Trees, and Gradient Boost were used to classify the study area into five first-class common land use types (built-up, agriculture, vegetation, bare land, and water). …”
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A comparison of two DNA metagenomic bioinformatic pipelines while evaluating the microbial diversity in feces of Tanzanian small holder dairy cattle por Kibegwa, F.M., Bett, R.C., Gachuiri, C.K., Stomeo, Francesca, Mujibi, F.D.N.

“…These pipelines employ different sets of sophisticated bioinformatics algorithms which may affect the results of this analysis. …”
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Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV Imagery using machine learning approaches por Álvarez Mendoza, Cesar I., Guzman, Diego, Casas, Jorge, Bastidas, Mike, Polanco, Jan, Valencia Ortiz, Milton Orlando, Montenegro, Frank, Arango, Jacobo, Ishitani, Manabu, Gómez Selvaraj, Michael

“…Next, the performance of machine learning algorithms was used for predicting AGB based on VIs obtained from ground truth and satellite and UAV imagery. …”
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A technique system for the measurement, reconstruction and character extraction of rice plant architecture por Li, Xumeng, Wang, Xiaohui, Wei, Hailin, Zhu, Xinguang, Peng, Yulin, Li, Ming, Li, Tao, Huang, Huang

“…Each component of the technique system was quantitatively validated and visually compared to images, and the sensitivity of the virtual clipping algorithms was analyzed. This technique is inexpensive and accurate and provides high throughput for the measurement, reconstruction, and trait extraction of rice canopy architectures. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption por Vijayakumar, Shanmugam, Murugaiyan, Varunseelan, Ilakkiya, S., Kumar, Virender, Sundaram, Raman Meenakshi, Kumar, Rapolu Mahender

“…This includes developing cost-effective sensors, user-friendly algorithms, and versatile machinery tailored for small-scale farms. …”
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Diagnostic tools for human African trypanosomiasis elimination and clinical trials: The DiTECT-HAT project por Lejon, Veerle, Ilboudo, H., Mumba, D., Camara, M., Kaba, D., Lumbala, C., Fèvre, Eric M., Jamonneau, V., Bucheton, B., Büscher, Philippe

“…Cost-effective diagnostic algorithms with high positive predictive values might allow test-and-treat scenarios without the need for complicated parasitological confirmations. …”
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Digital Platform for Soil Health Monitoring and Management: Requirements Specifications por Patil, Mukund, Burry, Sukanya, Gogumalla, Pranuthi, Rozario, Gilbert, Katakamshetti, Nagendra, Shaik, Jameeruddin, Choudhari, Pushpajeet

“…The platform aims to integrate soil data from diverse sources, analyze it using AI/ML algorithms, and deliver customized recommendations to enhance soil health and optimize agricultural productivity. …”
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Identifying with interested AMS the main gaps in the current data available and building on this a strategy for generating an enhanced database, targeting soil health across priori... por Huq, Rafiq, Lesueur, Didier

“…Subsequently, vegetation indices and AI algorithms were employed to unveil the results. The third and final chapter explores and discusses the scopes and limitations of using RS technology in agricultural soil health analysis. …”
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Mapping spatial distribution and geographic shifts of east African highland banana (Musa spp.) in Uganda por Ochola, D., Boekelo, B., Ven, G.W. van de, Taulya, G., Kubiriba, Jerome, Asten, Piet J.A. van, Giller, Kenneth E.

“…Ensemble models were superior (AUC = 0.895; 0.907) compared to their constituent algorithms trained with 12 and 17 covariates, respectively: random forests (AUC = 0.883; 0.901), gradient boosting machines (AUC = 0.878; 0.903), and neural networks (AUC = 0.870; 0.890). …”
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Evaluation and improvement of the E3SM land model for simulating energy and carbon fluxes in an Amazonian peatland por Yuan, F., Ricciuto, D.M., Xu, X., Roman, D.T., Lilleskov, E., Wood, J.D., Cadillo-Quiroz, Hinsby, Lafuente, A., Rengifo, J., Kolka, R., Fachin, L., Wayson, C., Hergoualc'h, Kristell, Chimner, R.A., Frie, A., Griffis, T.J.

“…The modified algorithms included the soil water retention curve, a water coverage scalar function for CH4 processes, and a seasonally varying leaf carbon-to-nitrogen ratio function. …”
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Secondary data analysis using evidence-based bayesian networks with an application to investigate the determinants of childhood stunting por Yet, Barbaros, Öykü Başerdem, Elif, Rosenstock, Todd

“…We compared the BNs built by our approach to BNs learned purely from secondary data using structure learning algorithms. We found that none of the learning algorithms can lead to structures close to the evidence-based model. …”
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Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production por Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

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Bundles of Joy? Using the ERA database to explore the outcomes of CSA practice interactions por Steward, Peter R., Rosenstock, Todd S., Lamanna, Christine

“…We have developed a range of analytical algorithms and plotting functions to assess performance of technology bundles to be integrated as apps on the ERA website.…”
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