La FAO, IBM et Microsoft cherchent des moyens concrets et durables d’utiliser l’intelligence artificielle dans le respect des principes d’éthique approuvés par le pape François 24 septembre 2020, Rome - Lors d'une manifestation organisée aujourd'hui à l'Académie pontificale pour la vie, l'Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO), IBM et Microsoft ont réitéré leur engagement en faveur de la mise au point de formes d'intelligence artificielle (IA) qui soient inclusives et promeuvent des moyens durables de concrétiser la sécurité alimentaire et nutritionnelle.
Mobiliser les approches issues de l’Intelligence Artificielle (IA) en Santé Animale (SA) permet d’aborder des problèmes de forte complexité logique ou algorithmique tels que rencontrés en épidémiologie quantitative et prédictive, en médecine de précision, ou dans l’étude des relations hôtes × pathogènes.
The agricultural Internet of Things (Ag-IoT) paradigm has tremendouspotential in transparent integration of underground soil sensing, farm machinery,and sensor-guided irrigation systems with the complex social network of growers,agronomists, crop consultants, and advisors. The aim of the IoT in agriculturalinnovation and security chapter is to present agricultural IoT research and paradigmto promote sustainable production of safe, healthy, and profitable crop and animalagricultural products.
Mixed family farms produce almost half of the world food. Increasing food supply in developing countries requires increasing productivity of both land and farmers’ labour as key to increase household income, food security and reduce poverty. A research project developed into Uruguayan vegetable family farms (2006–2010) revealed that the main life quality problems were low family income, high work overload, lack of leisure time, and health problems associated with work. In many of these farms, labour productivity was lower than the opportunity cost of labour.
Internet of things (IoT) results in massive amount of streaming data, often referred to as “big data”, which brings new opportunities to monitor agricultural and food processes. Besides sensors, big data from social media is also becoming important for the food industry. In this review we present an overview of IoT, big data, and artificial intelligence (AI) and their disruptive role in shaping the future of agri-food systems.
This brochure summarizes key results of the work done by the Japan International Research Center for Agricultural Sciences (JIRCAS) on the occasion of the 50th anniversary of the center (1970-2020).
The two strategic documents for the future of Europe post 2020 (Green Deal) and agriculture in Europe (From Farm To Fork) recognize the important role of knowledge and innovation systems in accelerating change towards food sustainability. Researchers and advisors, together with the other actors of the Agricultural Knowledge and Innovation System, have the mandate to cooperate more closely to support all on this transition path. This includes stronger and more structured networking, increased information sharing and using digital tools to this effect.
The progress of the country and the welfare of the people depends on productivity, as an indicator of efficiency in the use of natural resources, capital and human talent. Ecuador is going through a deep crisis in the production of coffee where demand is much greater than supply with 1,560,000 bags of deficit, mainly of robusta coffee.
La investigación tuvo como objetivo generar un marco conceptual sobre las temáticas más relevantes y actualizadas de la innovación en la agroindustria. La metodología se fundamentó en una búsqueda sistemática de información que inicialmente permitiera conformar un marco conceptual sobre la innovaciónen agroindustria, hasta llegar a identificar los componentes, tendencias y distintas acciones en el sector agroindustrial.
La presente Tesis doctoral se planteó con cuatro objetivos específicos. El primero era "conocer el estado actual en el que se encuentra el sector agroalimentario incidiendo en aquellos aspectos que pueden influir en mayor medida en el desarrollo de su ecosistema emprendedor"; para su cumplimiento se han confirmado los principales problemas y enfoques para abordarlos con personal experto de los diferentes eslabones de la cadena agroalimentaria (método Delphi), y elaborado unas matrices DAFO y CAME.