Timely availability of reliable information on weather conditions, agro-advisories, and market information can help to minimize losses in agriculture. This paper presents a scientific and integrated approach to identify areas of high agriculture vulnerability to climate change and availability of ICT services for dissemination of Climate Smart Agriculture (CSA) information in the vulnerable areas. This study was illustrated for India where the majority of the population depends on agriculture for their livelihoods, and this sector is highly vulnerable to climate change.
A range of institutions and individuals are engaging in the provision, translation, and application of scientific climate information, with the aim of supporting agricultural decision-making in the context of climate variability and change. This article contributes to understanding political and ethical dimensions of climate services by focusing on how expertise is articulated by those who deliver anticipatory information to potential users.
Smallholder farmers across the Global South increasingly need to adapt their farming activities to fast-paced changes, for example, in climate, policy and markets. In many places, public and private agricultural extension services support technological change through trainings and the dissemination of information. The effectiveness of extant ex-tension (advisory) methodologies is, however, challenged by the difficulty of reaching a large and growing clientele with highly diverse information needs.
Building on previous research, the purpose of this study was to describe the needs of the extension agents, in the Riyadh Region of Saudi Arabia, for training on Organic Agriculture (OA). This knowledge will be used to develop organic educational programs for extension agents. The specific objectives were to:
Agricultural machinery manufacturers historically referred to the intermediate players for selling, maintenance, customer service and/or training of equipment appear to interact with farmers and end-users. Intermediate players have therefore faced the burden to master the technology, in constant evolution, and the associated training needs at the interface between sophisticated equipment and the end-user and its sociological characteristics (age, education, background, etc.).
Por su complejidad, el cambio profundo que hoy requiere la formación docente se vincula con la capacidad de comprender y reconocer el surgimiento de los procesos “emergentes” que den paso a la innovación. Para poder identificar intervenciones con mayores oportunidades de tener incidencia en los procesos de formación, es necesario reconocer y comprender los procesos “emergentes” y su sostenibilidad cuando se pasa del nivel local al general (masificación).
Las proyecciones de aumento en el consumo de chocolate, principal elaborado del cacao, hacen que este cultivo represente una oportunidad para el forta-lecimiento de toda la cadena de valor, en especial de los agricultores; sin em-bargo, los países productores de cacao en ALC deben superar retos en el ámbito productivo, económico, social y ambiental.
This presentation sets out a future research agenda for research on agricultural extension and advisory services, under influence of sustainability transitions and disruptive technologies such as digital agriculture technology, and synthetic foods. For a recording of the presentation see: https://www.youtube.com/watch?v=03V7zSD63pw
This article surveys the trends in agricultural extension programmes and services found across the world, including privatization, decentralization, and pluralism. The general movement from top-down extension services to demand-driven programmes is explored along with its impact on the skills needed by extension professionals.
Agriculture is the back bone of Indian economy. Time bound high-quality agro services are essential for the growth of agriculture in our country. The present study was conducted among the beneficiary farmers Agro Service Centres in Kerala, during the year 2018-19. The sample of the study comprised 120 farmers from purposively selected 26 Agro Service Centres. Performance effectiveness of Agro Service Centres was measured in terms of Performance Effectiveness Index (PEI).