Smallholder maize yield estimation using satellite data and machine learning in Ethiopia

Zhe Guo Jordan Chamberlin Liangzhi You (2023, [Artículo])

The lack of timely, high-resolution data on agricultural production is a major challenge in developing countries where such information can guide the allocation of scarce resources for food security, agricultural investment, and other objectives. While much research has suggested that remote sensing can potentially help address these gaps, few studies have indicated the immediate potential for large-scale estimations over both time and space. In this study we described a machine learning approach to estimate smallholder maize yield in Ethiopia, using well-measured and broadly distributed ground truth data and freely available spatiotemporal covariates from remote sensing. A neural networks model outperformed other algorithms in our study. Importantly, our work indicates that a model developed and calibrated on a previous year's data could be used to reasonably estimate maize yield in the subsequent year. Our study suggests the feasibility of developing national programs for the routine generation of broad-scale and high-resolution estimates of smallholder maize yield, including seasonal forecasts, on the basis of machine learning algorithms, well-measured ground control data, and currently existing time series satellite data.

Sentinel-2 Smallholder Agriculture Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INTENSIFICATION SMALLHOLDERS AGRICULTURE YIELD FORECASTING

Estandarización de nombres comunes de plantas yucatanenses, parte 1: mayas y yucatecos

Jorge Carlos Trejo Torres (2023, [Artículo])

Nombrar plantas es una necesidad para ocuparnos de ellas. En casos afortunados, una especie tiene un solo nombre común, aunque frecuentemente las especies tienen más de un nombre. En la península de Yucatán, los nombres en lengua maya son complejos en escritura y pronunciación. Aunque la estandarización de su escritura se ha trabajado, hoy día es común ver nombres mayas de plantas escritos sin reglas. Entonces, proponemos criterios para estandarizar la escritura o selección de nombres comunes de las plantas regionales. También planteamos que dicha estandarización se integre en medios confiables como bases de datos botánicas regionales.

BASES DE DATOS BOTANICAS CRITERIOS ESPAÑOL YUCATECO NOMENCLATURA FOLCLORICA LENGUA MAYA BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

MLN disease diagnostics, MLN disease-free seed production and MLN disease management

Suresh L.M. (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASES DISEASE MANAGEMENT SEED PRODUCTION MAIZE NECROSIS YIELD LOSSES ECONOMIC IMPACT SURVEILLANCE SYSTEMS TRAINING

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

First detection of virulence in Puccinia striiformis f. Sp. tritici to wheat resistance genes Yr10 and Yr24 (=Yr26) in Mexico

JULIO HUERTA_ESPINO Ravi Singh (2017, [Artículo])

Near Isogenic Lines Virulence Spectrum Yellow Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA VIRULENCE PUCCINIA STRIIFORMIS WHEAT RESISTANCE GENES

Identification and characterisation of stripe rust resistance genes Yr66 and Yr67 in wheat cultivar VL gehun 892

Harbans Bariana Lakshmi Kant Naeela Qureshi Urmil Bansal (2022, [Artículo])

Kompetitive Allele Specific PCR Stripe Rust Yr Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC MARKERS MARKER-ASSISTED SELECTION RUSTS WHEAT GENES

Nitrogen deficiency tolerance and responsiveness of durum wheat genotypes in Ethiopia

Tesfaye Geleta Aga Kebebew Assefa Bekele Abeyo (2022, [Artículo])

Low-Nitrogen Tolerance Yield Reduction Tolerant Genotypes Parental Donors CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA NITROGEN HARD WHEAT GENOTYPES

Distribution of Puccinia striiformis f. sp. tritici races and virulence in wheat growing regions of Kenya from 1970 to 2014

Lesley Boyd sridhar bhavani Cristobal Uauy Annemarie Fejer Justesen Mogens Hovmoller (2022, [Artículo])

Cereals and Grains Pathogen Diversity Puccinia f. sp. tritici Stripe Rust Yellow Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CEREALS FIELD CROPS FUNGI PATHOGENICITY RUSTS TRITICUM AESTIVUM

Genotype×Environment interaction and stability analysis using GGE biplot for grain yield of bread wheat (Triticum aestivum) genotypes under low moisture stress areas of Ethiopia

Ayele Badebo Huluka Bekele Abeyo (2023, [Artículo])

Moisture Stress Grain Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPE ENVIRONMENT INTERACTION DROUGHT STRESS STABILITY TRITICUM AESTIVUM LATTICE DESIGN

High Throughput-Phenotyping at CIMMYT: Experiences and needs

Francisco Pinto (2021, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES GENETIC GAIN CROSS-BREEDING TECHNOLOGY YIELD POTENTIAL FIELD EXPERIMENTATION