Performance evaluation and identification of highland quality protein maize hybrids in Ethiopia

Adefris Teklewold (2022, [Artículo])

Quality Protein Conventional Maize CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PROTEIN QUALITY CROSS-BREEDING HYBRIDS

CIMMYT seed systems interventions

&

lessons to Bangladesh

AbduRahman Issa (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SEED SYSTEMS VALUE CHAINS POLICIES HYBRIDS MAIZE WHEAT

Efficacy of drought-tolerant and insect-protected transgenic TELA® maize traits in Nigeria

Yoseph Beyene (2023, [Artículo])

Stem Borer TELA® Hybrids CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FALL ARMYWORMS GENOTYPE ENVIRONMENT INTERACTION STEM EATING INSECTS TRANSGENIC PLANTS MAIZE HYBRIDS

Genomic prediction of yield performance among single-cross maize hybrids using a partial diallel cross design

Junjie Fu XUECAI ZHANG (2023, [Artículo])

Genomic Prediction Prediction Model Genetic Effects Hybrid Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE GENETICS HYBRIDS PERFORMANCE ASSESSMENT

Impact of adoption of heat-stress tolerant maize hybrid on yield and profitability: evidence from Terai region of Nepal

Atul Kulkarni Keshab Babu Koirala Pervez Zaidi (2023, [Artículo])

Inverse Probability Weighted Regression Heat Tolerant Maize Hybrid Partial Budget CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEAT STRESS HEAT TOLERANCE MAIZE HYBRIDS BUDGETS YIELDS

Willingness to pay (WTP) for heat-tolerant maize hybrids in the Mid-Western Terai region of Nepal

Atul Kulkarni Keshab Babu Koirala Pervez Zaidi (2023, [Artículo])

Heat-Tolerant Maize Hybrid Preference Heterogeneity CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEAT TOLERANCE MAIZE HYBRIDS WILLINGNESS TO PAY CONTINGENT VALUATION

Epistasis activation contributes substantially to heterosis in temperate by tropical maize hybrids

Liu Xiaogang Yunbi Xu (2022, [Artículo])

Genome-Wide Association Study Epistatic Effects Protein Interaction Multiple-Hybrid Population CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HETEROSIS MAIZE PROTEINS HYBRIDS

Testing innovations for adoption of newer and more adapted maize varieties

Michael Ndegwa Pieter Rutsaert Jason Donovan Jordan Chamberlin (2023, [Objeto de congreso])

Changing Production Conditions Genetic Innovations Maize Hybrids CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA TESTING MAIZE VARIETIES YIELDS FARMERS EXPERIMENTATION

Relocation of Sr48 to chromosome 2D using an alternative mapping population and development of a closely linked marker using diverse molecular technologies

Naeela Qureshi Mandeep Randhawa Peng Zhang Urmil Bansal Harbans Bariana (2023, [Artículo])

Fluorescent in Situ Hybridization Genomic in Situ Hybridization Ug99 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION STEM RUST TRANSLOCATION WHEAT

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