Copertina

Application of Unsupervised Learning in the Early Detection of Late Blight in Potato Crops Using Image Processing

Fuente: Redalyc

Salvato in:

Dettagli Bibliografici
Autore principale:	Juana-Valentina García-Ariza
Natura:	Artículo científico
Lingua:	en
Pubblicazione:	Corporación Universitaria de la Costa 2022
Soggetti:	Ingeniería Means late blight Machine learning unsupervised learning hierarchical clustering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Review on the Integration of Machine Learning in Cloud Computing Resource Management
di: Thafzy V. M.
Pubblicazione: (2025)

A constructive algorithm for unsupervised learning with incremental neural network
di: Jenq-Haur Wang
Pubblicazione: (2015)

PHYTOPHTHORA INFESTANS POPULATION STRUCTURE: A WORLDWIDE SCALE
di: MARTHA CÁRDENAS
Pubblicazione: (2012)

AI-Powered Anomaly Detection in Industrial IoT (IIoT) for Manufacturing Optimization
di: Nirup Kumar Reddy Pothireddy
Pubblicazione: (2022)

Population structure of Phytophthora infestans in potato crops from Antioquia, Boyaca, Cundinamarca, and Norte de Santander (Colombia)
di: Bernardo Silva A.
Pubblicazione: (2010)

Unsupervised Learning for Syntactic Disambiguation
di: Alexander Gelbukh
Pubblicazione: (2014)

Chapter Profiling visitors of a national park in Italy through unsupervised classification of mixed data
di: Caruso, Giulia, et al.
Pubblicazione: (2022)

Tomato late blight yield loss assessment and risk aversion with resistant hybrid
di: G.M. Sandeep Kumar
Pubblicazione: (2022)

Evaluation of the Heritability of Resistance to Phytophthora infestans (Mont) de Bary in a Population of Solanum phureja Juz et Buk
di: Luz Fanny Orozco Orozco
Pubblicazione: (2013)

N-gram Parsing for Jointly Training a Discriminative Constituency Parser
di: Arda Çelebi
Pubblicazione: (2013)

Evaluation of Unsupervised Machine Learning Algorithms with Climate Data
di: Juan Sebastián Ramírez
Pubblicazione: (2022)

Determination and validation of group numbers in a cluster analysis: A case study applied to forestry science
di: Mácio Augusto de Albuquerque
Pubblicazione: (2016)

Unsupervised Segmentation of Agricultural Crops in UAV RGB Images
di: Eduardo Garea LLano
Pubblicazione: (2018)

5G-V2X Topology Intelligence : A GNN Approach
di: Amati, Giambattista, et al.
Pubblicazione: (2025)

Clustering a sample of major and emerging economies regarding their economic policy uncertainty
di: Francisco Venegas Martínez
Pubblicazione: (2025)

ACADEMIC SKILL PROFILES IN A SAMPLE
di: Dulce María Belém Prieto-Corona
Pubblicazione: (2012)

Human Activities Recognition using Semi-Supervised SVM and Hidden Markov Models
di: Santiago Morales García
Pubblicazione: (2023)

STATISTICAL AND MACHINE LEARNING APPROACHES FOR DETECTING ANOMALIES IN LARGE-VOLUME NETWORK TRAFFIC
di: Ozodbek Rakhmonov
Pubblicazione: (2025)

Optimization of Recommender Systems Using Particle Swarms
di: Nancy Yaneth Gelvez-García
Pubblicazione: (2023)

The Ladder of Emergence I; The Dual Emergence of Time: Economic Constraints on Cognitive Time and the Coding Dynamics of Physical Time
di: zhou, changzheng, et al.
Pubblicazione: (2026)

Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry
di: Echeverria, Lluis, et al.
Pubblicazione: (2021)

Resistance to multiple leaf diseases in popcorn lines with potential for baby corn production
di: Mayara Cazadini Carlos
Pubblicazione: (2022)

Selection of potato genotypes Solanum tuberosum group Andigena by their tolerance to Phytophthora infestans (Mont.) of Bary
di: Juan-José Lagos-Regalado
Pubblicazione: (2021)

Proceso de machine learning para determinar la demanda social de puestos de empleo de profesionales de TI
di: Zoraida Mamani Rodriguez
Pubblicazione: (2022)

Interorganizational Learning Mechanisms in Porto Digital
di: Gibson Meira Oliveira
Pubblicazione: (2022)

Effect of Spatial Contiguity on Learning Sequences of Positions
di: Jairo Tamayo
Pubblicazione: (2023)

Chapter Profiling visitors of a national park in Italy through unsupervised classification of mixed data
di: Caruso, Giulia, et al.
Pubblicazione: (2022)

Multivariate delineation of rainfall homogeneous regions for estimating quantiles of maximum daily rainfall: A case study of northwestern Mexico
di: FABIOLA ARELLANO-LARA
Pubblicazione: (2014)

Reference Fields Analysis of a Markov Random Field Model to Improve Image Segmentation
di: E. D. López-Espinoza
Pubblicazione: (2010)

LIES: Learning Immersive Experiences Significative
di: Patricia Madriñán Rodríguez
Pubblicazione: (2018)

The plastic fingerprint: Temporal and spatial variability in Flanders' riverine plastic pollution
di: Vercauteren, Maaike, et al.
Pubblicazione: (2024)

PlantPhenomics_model_review_package
di: Liu, Weiwei
Pubblicazione: (2015)

Improvement of the specific detection of Xanthomonas phaseoli pv. manihotis based on the pthB gene
di: Rita de Cássia Cerqueira Melo
Pubblicazione: (2019)

Fine Tuned Multitasking Neural Network for Parkinson's Disease Detection from Voice Recordings
di: Diego Alexander López-Santander
Pubblicazione: (2025)

Detection and quantification of Alternaria solani in tomato by real time PCR
di: P. Chowdappa
Pubblicazione: (2014)

UTMF v5.2 FULL_DETAILS Metadata Archive (Empirical and Synthetic Datasets)
di: Strive, Jedi Markus
Pubblicazione: (2026)

Enhancing Programming Education with an Active Learning Plan and Artificial Intelligence Integration
di: Jorge-Enrique Portella-Cleves
Pubblicazione: (2024)

A statistical model for ascertaining the influence and reliability of weather parameters on incidence of blossom blight in mango (Mangifera indica L.)
di: R. Venugopalan
Pubblicazione: (2006)

Deoxynivalenol in wheat and wheat products from a harvest affected by fusarium head bligh
di: LIDIANE VIERA MACHADO
Pubblicazione: (2017)

Application architecture to efficiently manage formal and informal m-learning. A case study to motivate computer engineering students
di: José Antonio Álvarez-Bermejo
Pubblicazione: (2015)