Soil texture is a key soil property influencing many agronomic practices including fertilization and liming. Therefore, an accurate estimation of soil texture is essential for adopting sustainable soil management practices. In this study, we used different machine learning algorithms trained on vis–NIR spectra from existing soil spectral libraries (ICRAF and LUCAS) to predict soil textural fractions (sand–silt–clay %). In addition, we predicted the soil textural groups (G1: Fine, G2: Medium, and G3: Coarse) using routine chemical characteristics as auxiliary.
Esta artículo de tesis pretende realizar la identificación y el análisis de las condiciones habilitadoras y limitantes para el establecimiento de sistemas agroforestales en las veredas La Gorgona y Plaza Nueva del municipio de Remedios. Este análisis fue realizado a través de las metodologías de medios de vida de la comunidad y el marco de capitales de la comunidad.
El objetivo de esta investigación fue determinar a través de la información estadística obtenida por el VIII Censo Agrícola, Ganadero y Forestal del año 2007, la importancia que tiene la asistencia técnica en las unidades de producción en México para contar con elementos que sirvan en la toma de decisiones de éste servicio. Se realizó un análisis de la base de datos a nivel nacional y por zonas económicas a través de la obtención de frecuencias relativa
Se plantea en este trabajo producto de la investigación Asociatividad y Competitividad en la Agroindustria Alimentaria en Oaxaca, México, cuyo objeto es diseñar un modelo para la Agroindustria Alimentaria; para lo cual es necesario un análisis descriptivo documental que permite caracterizar los elementos que condicionan la Asociatividad en las micro, pequeñas y medianas empresas del sector agroindustrial alimentario, y su utilización como estrategia para ser competitivas las MiPyMEs así como para hacer la contribución decisiva a la seguridad alimentaria. Se presenta en el documento la situa
To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice.
European agriculture is facing increasing economic, environmental, institutional, and social challenges, from changes in demographic trends to the effects of climate change. In this context of high instability, the agricultural sector in Europe needs to improve its resilience and sustainability. Local assessments and strategies at the farming system level are needed, and this paper focuses on a hazelnut farming system in central Italy. For the assessment, a participatory approach was used, based on a stakeholder workshop.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
This chapter examines processes to inform decision making and manage innovation at four generally defined levels of the innovation system for agriculture; policy, investment, organization, and intervention and also identifies methods relevant at each level for assessing, prioritizing, monitoring, and evaluating innovation processes so that practitioners have the information needed for decision making and for managing limited resources effectively.
Organic farming can play an important role in rural development and food production, by reinforcing the trend toward sustainable agriculture and its purpose of ecosystem conservation. The agribusiness of organic farming is particularly relevant in family farming, given the labor availability and the short marketing circuits. The innovative techniques of organic farming, namely with soil fertility, weed and pest control, opens a wide range of possibilities in its development and extension.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.