Search Results - "algorithm"

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation by Fu, Jiayi, Zheng, Shouzhi, Fan, Longjiang, Zheng, Xiaoming, Qian, Qian

“…Together, these technologies algorithmically convert germplasm into actionable breeding insights, accelerating the full cycle from ideal plant type design to elite line development. …”
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Rapid evaluation of Farinograph and Extensograph characteristics in bread wheat using near-infrared spectroscopy and chemometrics by Zhao, Zihui, Li, Lei, Li, Wenduan, Tian, Yuanyuan, Zhang, Yan, Zhang, Yong, Ibba, Maria Itria, He, Zhonghu, Hao, Yuanfeng, Tian, Wenfei

“…Various spectral pre-processing, variable selection, and regression algorithms have been employed for model calibration. …”
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A bitter cup: climate change profile of global production of Arabica and Robusta coffee by Bunn, Christian, Läderach, Peter R.D., Ovalle Rivera, Oriana, Kirschke, Dieter

“…We used machine learning algorithms to derive functions of climatic suitability from a database of geo-referenced production locations. …”
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Spatial evapotranspiration, rainfall and land use data in water accounting - Part 1: review of the accuracy of the remote sensing data by Karimi, P., Bastiaanssen, Wim G.M.

“…This paper reviews the reliability of remote sensing algorithms to accurately determine the spatial distribution of actual evapotranspiration, rainfall and land use. …”
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A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies by Vakhtang, Shelia, Hansen, James, Sharda, Vaishali, Porter, Cheryl, Aggarwal, Pramod K., Wilkerson, Carol J, Hoogenboom, Gerrit

“…This paper provides an overview of the approaches, algorithms, design, and capabilities of the CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) for gridded crop modeling and yield forecasting along with risk analysis and climate impact studies. …”
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Analysis of the detachment of citrus fruits by vibration using artificial vision by Torregrosa, Antonio, Albert, Francisco, Aleixos, Nuria, Ortiz, Coral, Blasco, José

“…The movement was recorded at 300 fps and the main parameters considered for fruit detachment were determined through the analysis of the video sequences. Image-processing algorithms created for this purpose were applied to the automated estimation of the centroid of the fruit, the angle of the stem pistil axis, and the position of some selected points in the fruit in each frame of the video sequences to obtain dynamic parameters such as the position, speed and acceleration of the fruit during the movement until it is detached. …”
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In-Line Estimation of the Standard Colour Index of Citrus Fruits Using a Computer Vision System Developed For a Mobile Platform by Vidal, Anna, Talens, Pau, Prats-Montalbán, José M., Cubero, Sergio, Albert, Francisco, Blasco, José

“…This work shows the optimised algorithms for estimating the colour of citrus in-line that were developed for this mobile platform and its performance is evaluated against that of a spectrophotometer used as a reference in the analysis of colour in food. …”
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Advances in validating SALTIRSOIL at plot scale: First results by Visconti, Fernando, De-Paz, José M., Molina, María J., Sanchez, Juan

“…SALTIRSOIL (SALTS in IRrigated SOILs) is a model for the medium to long term simulation of soil salinity in irrigated, well-drained lands. Once the algorithms were verified, the objective of our study was to validate SALTIRSOIL under one of several water quality and management scenarios in Mediterranean agriculture. …”
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Genetic Variation and Possible Mechanisms Driving the Evolution of Worldwide Fig mosaic virus Isolates by Walia, Jeewan Jyot, Willemsen, Anouk, Elci, Eminur, Caglayan, Kadriye, Falk, Bryce W., Rubio, Luis

“…Analysis using several recombination algorithms suggests that genomes of some FMV isolates originated by reassortment of genomic RNAs from different genetically similar isolates. …”
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Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins by Gómez-Sanchís, Juan, Gomez-Chova, L., Aleixos, Nuria, Camps-Valls, G., Montesinos-Herrero, Clara, Moltó, Enrique, Blasco, José

“…Different methods such as correlation analysis, mutual information, stepwise, and genetic algorithms based on linear discriminant analysis (LDA) are studied to select the most relevant bands. image segmentation relies on the combination of efficient band selection techniques and also on pixel classification methods such as classification and regression trees (CART) and LDA. …”
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The Life History Of Human Foraging: Cross-Cultural And Individual Variation by Koster, J., Mcelreath, R., Hill, K., Yu, D., Shepard JR, G., Vliet, N. van, Gurven, M., Kaplan, H., Trumble, B., Bird, R.B., Bird, D., Codding, B., Coad, L.M., Pacheco-Cobos, L., Winterhalder, B., Lupo, K., Schmitt, D., Sillitoe, P., Franzen, M., Alvard, M., Venkataraman, V., Kraft, T., Endicott, K., Beckerman, S., Marks, S.A., Headland, T., Pangau-Adam, M., Siren, A., Kramer, K., Greaves, R., Reyes García, Victoria, Guèze, M., Duda, R., Fernández-Llamazares, A., Gallois, S., Napitupulu, L., Ellen, R., Ziker, J., Nielsen, M.R., Ready, E., Healey, C., Ross, C.

“…It also demonstrates new statistical algorithms and models that expand the potential inferences drawn from detailed quantitative data collected in the field.…”
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Rice phenotyping using unmanned aerial vehicles: Analyzing morphological characteristics and yield by Goigochea Pinchi, Diego, Vega Herrera, Sergio Sebastian, Torres Chavez, Edson Esmith, Archentti Reategui, Fernando, Barrera Torres, Ciceron, Dominguez Yap, Percy Luis, Ysuiza Perez, Alfredo, Perez Tello, Monica, Rios Rios, Raúl, Santillan Gonzáles, Manuel Dante, Ganoza Roncal, Jorge Juan, Ruiz Reyes, Jose Guillermo, Agurto Piñarreta, Alex Ivan

“…Multispectral imagery was used to develop prediction models based on supervised learning algorithms, including Linear Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Elastic Net (EN), and Neural Networks (NN). …”
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Artificial intelligence, systemic risks, and sustainability by Galaz, Victor, Centeno, Miguel A, Callahan, Peter W., Causevic, Amar, Patterson, Thayer, Brass, Irina, Baum, Seth, Farber, Darryl, Fischer, Joern, Garcia, David, McPhearson, Timon, Jiménez, Daniel, King, Brian, Larcey, Paul, Levy, Karen

“…We also identify possible systemic risks in these domains including a) algorithmic bias and allocative harms; b) unequal access and benefits; c) cascading failures and external disruptions, and d) trade-offs between efficiency and resilience. …”
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Modeling Non-Cooperative Water Use in River Basins by Woldeyohanes, T., Kuhn, A., Heckelei, T., Duguma, L.A.

“…It also turns out that most of these models employed a solution procedure that sequentially solved independent economic decisions based on pre-defined conditions and heuristics, while only few modeling approaches offered simultaneous solution algorithms. We argue that this approach cannot adequately capture economic trade-offs in resource allocation, in contrast to models with simultaneous solution procedures.…”
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RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements by Soto, Jonatan, Aparicio, Johan, Darghan, Aquiles, Urban, Milan Oldřich

“…Further updates will include new algorithms (e.g. trait heritability), generalization to other species and a shiny interface to make the software user friendly.…”
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Rice-fish coculture: Enhancing resource management and food security by Samaddar, Ayan, Kacha, Dani, Kaviraj, Anilava, Freed, Sarah Johanna, Panemangalore, Arun Padiyar, Saha, Subrata

“…Then, we analyzed the data by applying artificial intelligence and machine learning algorithms to identify the stresses and recommend guidelines to improve farmers' management and decision-making for sustainable rice-fish coculture. …”
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Assessing soil erosion risk in Kazakhstan: A RUSLE-based approach for land rehabilitation by Kaliyeva, Damira, Tokbergenova, Aigul, Mirzabaev, Alisher, Zulpykharov, Kanat, Bissenbayeva, Sanim, Taukebayev, Omirzhan, Qadir, Manzoor

“…Using the RUSLE model’s algorithms, we generated an erosion risk map, emphasizing areas with a high potential for erosion. …”
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Informing CAADP 2026–2035: What a decade of IFPRI Research in Africa tells us by Ulimwengu, John M., Hema, Aboubacar, Marivoet, Wim, Omamo, Steven Were

“…Drawing from almost 5,700 publications between 2015 and 2025, and using a combination of natural language processing (NLP), deep learning algorithms and rule-based approaches, the review maps key findings against CAADP’s six strategic objectives: (1) intensifying sustainable food production, agro-industrialization, and trade; (2) boosting investment and financing for agrifood systems transformation; (3) ensuring food and nutrition security; (4) advancing inclusivity and equitable livelihoods; (5) building resilient agrifood systems; and (6) strengthening agrifood systems governance. …”
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Transforming AgWise: An inclusive, sustainable, and trustworthy AI-powered agronomic advisory platform in Africa by Tuse, Misganu, Abera, Wuletawu

“…By integrating spatial soil, climate, and topographic data with crop models and machine‑learning algorithms, AgWise delivers tailored recommendations on fertilizer rates, planting dates, cultivar choice, and soil health management. …”
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The use of herders' accounts to map livestock activities across agropastoral landscapes in Semi-Arid Africa by Turner, M.D., Hiernaux, Pierre H.Y.

“…An empirical GIS-based approach was developed for estimating distributions of herded livestock across three agropastoral territories (around 100 km2 each) over a two-year period. Algorithms developed from regression analyses of herd tracking data (with R2s >= 0.67) are used to transform a more comprehensive but incomplete set of data generated from herders' accounts of their herds' grazing itineraries (400 herds following 6500 itineraries). …”
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