Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting.

Sajad Sabzi Razieh Pourdarbani Mohammad Hossein Rohban Alejandro Fuentes_Penna José Luis Hernández-Hernández Mario Hernández Hernández (2021, [Artículo])

Improper usage of nitrogen in cucumber cultivation causes nitrate accumulation in the fruit and results in food poisoning in humans; therefore, mandatory evaluation of food products becomes inevitable. Hyperspectral imaging has a very good ability to evaluate the quality of fruits and vegetables in a non-destructive manner. The goal of the present paper was to identify excess nitrogen in cucumber plants. To obtain a reliable result, the majority voting method was used, which takes into account the unanimity of five classifiers, namely, the hybrid artificial neural network¿imperialism competitive algorithm (ANN-ICA), the hybrid artificial neural network¿harmonic search (ANN-HS) algorithm, linear discrimination analysis (LDA), the radial basis function network (RBF), and the Knearest- neighborhood (KNN). The wavelengths of 723, 781, and 901 nm were determined as optimal wavelengths using the hybrid artificial neural network¿biogeography-based optimization (ANNBBO) algorithm, and the performance of classifiers was investigated using the optimal spectrum. The results of a t-test showed that there was no significant difference in the precision of the algorithm when using the optimal wavelengths and wavelengths of the whole range. The correct classification rate of the classifiers ANN-ICA, ANN-HS, LDA, RBF, and KNN were 96.14%, 96.11%, 95.73%, 64.03%, and 95.24%, respectively. The correct classification rate of majority voting (MV) was 95.55% for test data in 200 iterations, which indicates the system was successful in distinguishing nitrogen-rich leaves from leaves with a standard content of nitrogen.

artificial neural network cucumber hyperspectral imaging majority voting nitrogen INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Accumulation of wheat phenolic acids under different nitrogen rates and growing environments

Wenfei Tian Yong Zhang Zhonghu He (2022, [Artículo])

Functional Wheat Trans-Ferulic Acid Nitrogen Management Environment Interaction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PHENOLIC ACIDS NITROGEN ENVIRONMENT ANTIOXIDANTS

Crop performance and nitrogen use-efficiency in maize under conservation agriculture coupled with sub-surface drip fertigation

C.M. Parihar Hari Sankar Nayak Renu Pandey ML JAT (2021, [Artículo])

Biological Yield Permanent Beds Yield Attributes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA YIELDS NITROGEN NUTRIENT UPTAKE CROP PERFORMANCE MAIZE

Como las redes sociales contribuyen al conocimiento de la sistemática de plantas

RODRIGO STEFANO DUNO GERMAN CARNEVALI FERNANDEZ CONCHA (2022, [Artículo])

La ciencia y la sistemática, en particular, se han beneficiado enormemente de la tecnología. Pregúntele a cualquier amante de la naturaleza y de la fotografía, el cambio que significó la llegada de las cámaras digitales en sustitución de las cámaras convencionales. Hoy deseamos destacar otra novedad tecnológica, no menos tangible, y de enorme repercusión mundial; las redes sociales. En este breve texto presentaremos casos concretos de cómo las redes sociales pueden ser una herramienta fundamental para incrementar el conocimiento de la diversidad biológica.

APOCYNACEAE DROSERACEAE FACEBOOK NATURALISTA NOVEDADES TAXONOMICAS REDES SOCIALES BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

Biofortification to avoid malnutrition in humans in a changing climate: Enhancing micronutrient bioavailability in seed, tuber, and storage roots

Ana Luisa Garcia-Oliveira Mahalingam Govindaraj Rodomiro Ortiz (2023, [Artículo])

Bioaccessibility and Absorption Biofortified Crop Cultivars Genes and Genetic Markers Nutrient Acquisition Transport and Storage CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOAVAILABILITY ABSORPTION CLIMATE CHANGE GENETIC MARKERS GENETIC ENGINEERING NUTRIENTS TRANSPORT STORAGE

Tutoring to novel teachers. A fragment of skylight from the border of Ciudad Juarez

Silvia Gabriela Alvídrez Minora (2022, [Artículo, Artículo])

This article describes and interprets the tutoring of novice teachers in a preschool area of ​​Ciudad Juarez. The study is situated in the interpretive paradigm; It makes use of the ethnographic method and research techniques such as participant observation and interview. The partial results show that tutoring is considered an important process for the insertion and professionalization of new teachers; however, it is mentioned that this enriching relationship is only possible when there is communication between all the people involved in the tutoring, in addition to being open to peer learning.

Teacher training Novice teachers Tutoring Ciudad Juarez Formación docente Tutoría Ciudad Juárez docentes nóveles CIENCIAS SOCIALES CIENCIAS SOCIALES

Discovery of genomic regions associated with grain yield and agronomic traits in Bi-parental populations of maize (Zea mays. L) under optimum and low nitrogen conditions

Noel Ndlovu Vijay Chaikam Berhanu Tadesse Ertiro Biswanath Das Yoseph Beyene Charles Spillane Prasanna Boddupalli Manje Gowda (2023, [Artículo])

Grain Yield Low Soil Nitrogen CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN NITROGEN SOIL CHEMICOPHYSICAL PROPERTIES MAIZE QUANTITATIVE TRAIT LOCI

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Non-autonomous Ginzburg-Landau solitons using the He-Li mapping method

MAXIMINO PEREZ MALDONADO Haret Codratian Rosu ELIZABETH FLORES GARDUÑO (2022, [Artículo])

"We find and discuss the non-autonomous soliton solutions in the case of variable nonlinearity and dispersion implied by the Ginzburg-Landau equation with variable coefficients. In this work we obtain non-autonomous Ginzburg-Landau solitons from the standard autonomous Ginzburg-Landau soliton solutions using a simplified version of the He-Li mapping. We find soliton pulses of both arbitrary and fixed amplitudes in terms of a function constrained by a single condition involving the nonlinearity and the dispersion of the medium. This is important because it can be used as a tool for the parametric manipulation of these non-autonomous solitons. "

Nonlinear Ginzburg-Landau Equation Non-Autonomous Solitons CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA FÍSICA FÍSICA

LA VULNERABILIDAD BAJO EL EFECTO LUPA DE LA NIÑEZ INDÍGENA NAHUA MIGRANTE DE GUERRERO EN CAMPOS AGRÍCOLAS DE JALISCO (MÉXICO)

RODOLFO ANTONIO SAN JUAN SAN JUAN (2021, [Tesis de doctorado])

"El objetivo general de la presente tesis es mostrar las diferentes formas en que los niños jornaleros migrantes del Alto Balsas, Guerrero construyen una visión propia sobre la vulnerabilidad social a través de sus nociones locales basadas en su cotidianidad y la reproducción de sus valores culturales dentro del campamento La Media Luna, en el municipio de Autlán, Jalisco, lugar de atracción de familias jornaleras que se dedican al corte de caña."

Niños -- Guerrero Niños -- Emigración e inmigración -- México Nahuas -- Guerrero Indios de México -- Agricultura Agricultura -- Jalisco CIENCIAS SOCIALES CIENCIAS SOCIALES