Improvements in the sustainability of agricultural production depend essentially on advances in the efficient use of nitrogen. Precision farming promises solutions in this respect. Variable rate technologies allow the right quantities of fertilizer to be applied at the right place. This helps to both maintain yields and avoid nitrogen losses. However, these technologies are still not widely adopted, especially in small-scale farming systems. Recent developments in sensing technologies, like drones or satellites, open up new opportunities for variable rate technologies.
The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system's capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management.
Precision farming enables agricultural management decisions to be tailored spatially and temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a heterogeneous entity. Through targeted use of in- puts, precision farming reduces waste, thereby cutting both private variable costs and the environmental costs such as those of agrichemical residuals. At present, large farms in developed countries are the main adopters of pre- cision farming.
L’agriculture familiale est de loin la forme d’agriculture la plus répandue au monde, tant dans les pays développés que dans les pays en développement. Elle représente la principale source d’emplois dans le monde. C’est bien plus qu’une simple modalité de production alimentaire. C’est un mode de vie.
The French Ministry of Agriculture has called for agro-ecological transitions that reconcile farming and the environment. In this review, we examine the transformations of farmers and AKIS (Agriculture Knowledge Innovation System) actors’ work during agro-ecological transitions, and argue that the content, organization, and aim of farmers’ work are influenced by agricultural training, agricultural development, and discussions between peers, research, and regulations. Our main findings concern those transformations.
Global agriculture will face multiple challenges over the coming decades. It must produce more food to feed an increasingly affluent and growing world population that will demand a more diverse diet, contribute to overall development and poverty alleviation in many developing countries, confront increased competition for alternative uses of finite land and water resources, adapt to climate change, and contribute to preserving biodiversity and restoring fragile ecosystems.
La FAO a adopté une approche multidimensionnelle pour aider les exploitants familiaux pauvres à faire face aux difficultés qu’ils rencontrent au quotidien et renforcer leur capacité de création de revenus, afin de réduire la pauvreté rurale.
This paper outlines key areas of intervention that are identified as the core of FAO's strategy on strengthening Agricultural Innovation Systems (AIS) across multiple areas of work (e.g. research and extension, agroecology, biotechnology, green jobs, resourcing etc.) for achieving sustainable rural development.
La plupart des personnes pauvres et qui souffrent de la faim, dans le monde, sont des ruraux qui tirent un maigre revenu de l’agriculture. En 2010, sur les 1,2 milliard de personnes extrêmement pauvres, quelque 900 millions vivait en milieu rural. Environ 750 millions de ces personnes travaillaient dans l’agriculture, généralement comme petits exploitants familiaux (Olinto et al., 2013). On estime que 200 millions de ruraux pauvres pourraient émigrer vers les villes ces 15 prochaines années, mais la plupart d’entre eux resteront toutefois à la campagne.
Les enjeux liés au changement climatique et à la sécurité alimentaire confortent la nécessité de mettre au point des démarches de conception/évaluation de systèmes durables, qu’il s’agisse d’améliorer les situations existantes ou d’imaginer de nouvelles voies de développement. En régions chaudes, l’élevage remplit aussi des fonctions non productives et doit s’adapter aux aléas et incertitudes.