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

Chapter 11. Genomic insights on global journeys of adaptive wheat genes that brought us to modern wheat

deepmala sehgal Laura Dixon Diego Pequeno Jose Crossa Alison Bentley Susanne Dreisigacker (2024, [Capítulo de libro])

Hexaploid Wheat Adaptive Genes Novel Genomic Regions Gene-Based Modeling Process-Based Modeling Global Food Security CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HEXAPLOIDY WHEAT QUANTITATIVE TRAIT LOCI MODELLING FOOD SECURITY

Review of Nationally Determined Contributions (NCD) of Kenya from the perspective of food systems

Tek Sapkota (2023, [Documento de trabajo])

Agriculture is one of the fundamental pillars of the 2022–2027 Bottom-up Economic Transformation Plan of the Government of Kenya for tackling complex domestic and global challenges. Kenya's food system is crucial for climate change mitigation and adaptation. Kenya has prioritized aspects of agriculture, food, and land use as critical sectors for reducing emissions towards achieving Vision 2030's transformation to a low-carbon, climate-resilient development pathway. Kenya's updated NDC, as well as supporting mitigation and adaptation technical analysis reports and other policy documents, has identified an ambitious set of agroecological transformative measures to promote climate-smart agriculture, regenerative approaches, and nature-positive solutions. Kenya is committed to implementing and updating its National Climate Change Action Plans (NCCAPs) to present and achieve the greenhouse gas (GHG) emission reduction targets and resilience outcomes that it has identified.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE GAS EMISSIONS FOOD SYSTEMS LAND USE CHANGE AGRICULTURE POLICIES DATA ANALYSIS FOOD WASTES

Manual de construcción de chinampas

JOSE LUIS MARTINEZ RUIZ (2004, [Libro])

De origen prehispánico, la chinampa es una tecnología agrohidrológica sustentable desarrollada en las zonas lacustres y palustres de Mesoamérica. Es un sistema artificial de tierras de cultivo que se construye en humedal y se caracteriza por de explotación agrícola intensiva en equilibrio con el ecosistema que lo soporta. Se presenta el resultado de la documentación de un proyecto desarrollado por el IMTA y un grupo de chinamperos pertenecientes a San Gregorio Atlapulco, Xochimilco, Ciudad de México.

Agricultura Producción agrícola Uso eficiente del agua Chinampas CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops

UTTAM KUMAR Rajeev Ranjan Kumar Philomin Juliana Sundeep Kumar (2022, [Artículo])

Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS

Editorial: Genome wide association studies and genomic selection for crop improvement in the era of Big Data

Alison Bentley Charles Chen Nunzio D'Agostino (2022, [Artículo])

Allele Mining High-Throughput Phenotyping Genomic Estimated Breeding Value CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP IMPROVEMENT DNA CHROMOSOME MAPPING GENETIC LINKAGE GENOMES GENOTYPING GERMINATION HEAT STRESS QUALITY CONTROL SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM GENETIC DIVERSITY (AS RESOURCE) HIGH-THROUGHPUT SEQUENCING

Review of Nationally Determined Contributions (NCD) of Colombia from the perspective of food systems

Tek Sapkota (2023, [Documento de trabajo])

Food is a vital component of Colombia's economy. The impact of climate change on agriculture and food security in the country is severe. The effects have resulted in decreased production and in the productivity of agricultural soil. Desertification processes are accelerating and intensifying. Colombia's government formally submitted its Nationally Determined Contribution (NDC) on December 29, 2020. This paper examines Colombia's NDC from the standpoint of the food system.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE GAS EMISSIONS FOOD SYSTEMS LAND USE CHANGE AGRICULTURE POLICIES DATA ANALYSIS FOOD WASTES

Maintenance of UK bread baking quality: Trends in wheat quality traits over 50 years of breeding and potential for future application of genomic-assisted selection

Nick Fradgley Alison Bentley Keith Gardner Stéphanie M. Swarbreck (2023, [Artículo])

Sustainable Food Systems Genomic Prediction Genome-Wide Association Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MARKER-ASSISTED SELECTION VARIETIES FOOD SYSTEMS QUALITY

Análisis de la granulometría del tezontle utilizado como sustrato en invernaderos

Juan Manuel Angeles WALDO OJEDA BUSTAMANTE CARLOS ARMANDO DE LOS SANTOS GARCIA JUAN ARISTA CORTES (2003, [Objeto de congreso])

La creciente demanda del sector agrícola requiere del uso eficiente del agua de riego y de una mayor productividad del recurso; ante este escenario, la implementación de la agricultura protegida mediante invernaderos, constituye una alternativa viable para la producción agrícola. Por esta razón, en aquellas zonas del país con fuertes problemas de escasez del agua de riego se hace necesario en el corto plazo la reconversión productiva mediante invernaderos. En nuestro país, el Tezontle se utiliza frecuentemente como el sustrato bajo condiciones de invernadero, ya que posee algunas características importantes: es un material inerte, que permite mantenerlo como un factor fijo en los aspectos de nutrición de la planta; y además, existe una amplia disponibilidad del material, a un costo relativamente bajo. A pesar de estas características, existe poca investigación en cuanto a sus propiedades físicas y químicas, en relación con la distribución y grado de almacenamiento del agua y nutrientes; así como, a su propio manejo como sustrato para el desarrollo de cultivos. A continuación, se presenta una breve descripción del trabajo, desarrollado hasta el momento, en el IMTA para la caracterización física de una muestra de Tezontle comercial. Los principales resultados del estudio son: la mayor parte del sustrato (73%) corresponde a las mallas No. 8 (2.36 mm) y 50 (0.28 mm); según la clasificación de tamices de la ASTM, de las muestras de granulometría gruesa (1 y 2) y del 84 % para la muestra de granulometría fina, ambas coinciden con el concepto de un buen sustrato, es decir son de textura de media a gruesa, con una distribución del tamaño de las partículas entre 0.25 mm y 2.5 mm, que retiene suficiente agua fácilmente disponible y presentan, además, un adecuado contenido en aire.

Invernaderos Agricultura Producción agrícola INGENIERÍA Y TECNOLOGÍA

The HUB Model: An evolving concept for knowlegde management among and between stakeholders towards integrated agri-food systems

Jelle Van Loon (2022, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INNOVATION SYSTEMS FOOD SYSTEMS AGRIFOOD SYSTEMS DATA PROCESSING