Resultados de búsqueda - "algorithm"

Tailored, climate-informed and location-specific agro-advisory services in the highlands of Ethiopia increased smallholder farmers’ wheat grain yields and profitability por Tamene, Lulseged D., Wuletawu, Abera, Liben, Feyera Merga

“…The data-driven DST was developed by integrating over 25,000 crop responses to fertilizer application datasets and corresponding biophysical co-variants, using machine learning algorithms. Currently, the DST is being piloted across the highlands of Ethiopia. …”
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NIRS Database on fresh blended yellow cassava for DM, HCN, TCC, TBC & cooking time at CIAT, Colombia por Tran, Thierry, Belalcazar Martinez, John Eiver

“…The objective of the study is to investigate correlations between biophysical data and NIRS data, using different statistical approaches to identify the one(s) that works best. Deep learning algorithms will also be tested to assess their potential for more accurate NIRS calibrations. (2020-7-12)…”
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Impact of the adoption of conservation practices on cereal consumption in a maize-based farming system in the Chinyanja Triangle, Southern Africa por Mango, Nelson, Makate, Clifton, Tamene, Lulseged D., Mponela, Powell, Ndengu, Gift

“…The Average Treatment effect on the Treated, based on three matching algorithms, ranges from 222.18 to 320.95 kg of cereal consumed per year. …”
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Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning por Mcbride, Linden, Barrett, Christopher B., Browne, Christopher, Hu, Leiqiu, Liu, Yanyan, Matteson, David S., Sun, Ying, Wen, Jiaming

“…Increasingly plentiful data and powerful predictive algorithms heighten the promise of data science for humanitarian and development programming. …”
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Banana mapping in heterogenous smallholder farming systems using high-resolution remote sensing imagery and machine learning models with implications for banana bunchy top disease... por Alabi, T.R., Adewopo, Julius, Duke, O.P., Kumar, P. Lava

“…We used medium-resolution synthetic aperture radar (SAR), Sentinel 2A satellite imagery, and high-resolution RGB and multispectral aerial imagery from an unmanned aerial vehicle (UAV) to develop an operational banana mapping framework by combining the UAV, SAR, and Sentinel 2A data with the Support Vector Machine (SVM) and Random Forest (RF) machine learning algorithms. The ML algorithms performed comparatively well in classifying the land cover, with a mean overall accuracy (OA) of about 93% and a Kappa coefficient (KC) of 0.89 for the UAV data. …”
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AI-powered detection and quantification of Post-harvest Physiological Deterioration (PPD) in cassava using YOLO foundation models and K-means clustering por Gomez Ayalde, Daniela, Giraldo Londono, Juan Camilo, Quiroga Mosquera, Audberto, Luna-Melendez, Jorge Luis, Gimode, Winnie, Tran, Thierry, Zhang, Xiaofei, Selvaraj, Michael Gomez

“…Moreover, Artificial Intelligence (AI)-based algorithms allow for efficient analysis of large datasets, enabling rapid screening of cassava roots for PPD symptoms. …”
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Effects of spatial resolution,land-cover heterogeneity and different classification methods on accuracy of land-cover mapping por Awuah, Tweneboa Kwame

“…This creates a challenge in choosing suitable classification algorithms and image processing methods. In this study, the influence of spatial resolution and land-cover spectral and spatial heterogeneity on accuracy of land-cover classification at a rural-urban interface was examined alongside comparison of Random Forest (RF) and Support Vector Machine (SVM) classification algorithms. …”

Using inertial sensors for assessing movement symmetries in trotting dogs : a feasibility study por Stenman, Anders

“…The data was analyzed offline using different algorithms for lameness assessment. The results indicate that it possible to use standard IMUs to evaluate lameness in dogs, but that more work is needed to robustify th ealgorithms. …”

Review of weather and climate forecast-based advisory frameworks for rice-based systems por Mabilangan, Abigail, Saito, Kazuki

“…The report evaluates their architectures, core algorithms, required weather inputs, and integration potential into AgWise. …”
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Optimization modeling for conjunctive use planning of surface water and groundwater for irrigation por Singh, A., Panda, S.N., Saxena, C.K., Verma, C.L., Uzokwe, Veronica N.E., Krause, P., Gupta, S.K.

“…Past papers on the applications of different programming techniques for the conjunctive use of different water sources are grouped into four categories: linear programming, nonlinear programming, dynamic programming, and genetic algorithms. Conclusions are provided based on this review, which could be useful for all stakeholders.…”
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ECOSat (Estimation of carbon offsets with satellites) - Final report por Schulthess, Urs, Fonteyne, Simon, Gardeazabal Monsalve, Andrea

“…These data can then be used to train machine learning based algorithms.…”
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Aerial Monitoring of Rice Crop Variables using an UAV Robotic System por Devia, Carlos Andres, Rojas Bustos, Juan Pablo, Petro, Eliel E., Mondragon, Iván Fernando, Patino, D., Rebolledo, C., Colorado, Julian D.

“…The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. …”
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Integrating climate intelligence into digital agroadvisory systems: A scalable multi model framework for AgWise Engine por Tibebe, Degefie, Seid, Jemal, Abera, Wuletawu, Saito, Kazuki, Mkuhlani, Siyabusa, Leroux, Louise, Mabilangan, Abigail, Ghosh, Aniruddha, Kihara, Job

“…The proposed framework for AgWise CI is structurally designed to overcome two specific technical challenges identified across foundational projects: (1) the translation problem converting complex, probabilistic climate outputs into agronomically meaningful parameters; (2) the integration problem embedding these climate-conditioned algorithms seamlessly within existing digital advisory architectures.…”
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Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data por Islam, Aminul, Thenkabail, Prasad S., Kulawardhana, Wasantha, Alankara, Ranjith, Gunasinghe, Sarath, Edussuriya, C., Gunawardana, A.

“…First, automated methods were investigated in order to rapidly delineate wetlands; this involved using: (a) algorithms on SRTM DEM data, (b) thresholds of SRTM-derived slopes, (c) thresholds of ETM+ spectral indices and wavebands and (d) automated classification techniques using ETM+ data. …”
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A scalable scheme to implement data-driven agriculture for small-scale farmers por Jiménez, Daniel, Delerce, Sylvain Jean, Dorado, Hugo Andres, Cock, James H., Muñoz, Luis Armando, Agamez, Alejandro, Jarvis, Andy

“…Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers. …”
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Spatio-ecological complexity measures in GRASS GIS por Rocchini, D., Petras, V., Petrasova, A., Chemin, Yann H., Ricotta, C., Frigeri, A., Landa, M., Marcantonio, M., Bastin, L., Metz, M., Delucchi, L., Neteler, M.

“…Among these tools, free and open source options especially offer opportunities to guarantee the robustness of algorithms and reproducibility. In this paper we will summarize the most straightforward measures of spatial complexity available in the Free and Open Source Software GRASS GIS, relating them to key ecological patterns and processes.…”
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Segmentation of hyperspectral images for the detection of rotten mandarins por Gómez-Sanchís, Juan, Camps-Valls, G., Moltó, Enrique, Gomez-Chova, L., Aleixos, Nuria, Blasco, José

“…Methods for selecting a proper set of wavelengths are investigated such as correlation analysis, mutual information, stepwise or genetic algorithms. The image segmentation relies on the combination of band selection techniques and pixel classification methods such as classification and regression trees and linear discriminant analysis.…”
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Results on life cycle assessments to determine impacts of agronomic management choices in the Cauca and Honduras CSV por Loaiza, Sandra, Chirinda, Ngonidzashe, Martínez Barón, Deissy, Martínez, Jesús David

“…This tool combines different algorithms that integrate climate, soil and crop data and presents outputs on carbon footprints in a format that is accessible to non-experts. …”
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Assessing rice and wheat germplasm collections using similarity groups por Hazekamp, Th., Payne, T.S., Hamilton, Ruaraidh Sackville

“…This methodology mainly followed an algorithmic approach to assess the correspondence between pairs of accessions. …”
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Application of suppressive subtractive hybridisation technique to isolate differentially expressed genes in Rhipicephalus appendiculatus ticks following infection by Theileria parv... por Obura, M., Skilton, Robert A., Villiers, Etienne P. de, Kutima, H., Bishop, Richard P.

“…The identities of the isolated clones were determined by searches on RaGI (www.tigr.org/tigr-scripts/tgi), T. parva CDS and nucleic research database on proteins and nucleic acids using BLAST and other algorithms. Based on this analysis, the sequences were divided into three categories: those responsible for modifying host immune responses to the tick, transport molecules (including a putative Na+/K+ ATPase) and previously unidentified genes.…”
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