En el primer capítulo presenta los retos para la seguridad alimentaria y el cambio climático en México y el mundo, así como los compromisos internacionales de México para atender ambos desafíos.
This Country Private Sector Diagnostic (CPSD) identifies opportunities to stimulate sustainable economic growth and development by harnessing the power of the private sector in Angola. Applying a sectoral lens, it leverages the private sector’s knowledge and experience to accelerate transformational investment. It also puts forward operational recommendations highlighting strategic entry points for diversification and growth, while addressing key constraints to private sector engagement. The CPSD discusses implementation principles inspired by international good practices.
This report is based on substantive evidence and attempts to provide the kind of analysis that can inform policies, programmes and investments to promote a rural transformation that is inclusive of youth. It examines who rural youth are, where they live, and the multiple constraints they face in their journey from dependence to independence. A distinguishing feature of this report is that it examines rural development in the context of the transformation of rural areas and the wider economy. Opportunities for young women and men begin with a transformation towards a dynamic rural economy.
Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper, we reviewed crowdsourcing initiatives in agricultural science and farming activities and further discussed the particular characteristics of this approach in the field of agriculture. On-going crowdsourcing initiatives in agriculture were analysed and categorised according to their crowdsourcing component.
Over the years, CTA has contributed to building ACP capacity to understand innovation processes, strengthen the agricultural innovation system and embed innovation thinking in agricultural and rural development strategies. The CTA Top 20 Innovations project set out to prove that innovation is taking place in ACP agriculture and in the process has demonstrated that smallholder farmers are beneficiaries as well as partners in agricultural innovation.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
En síntesis, el presente documento tiene un carácter marcadamente exploratorio. Por lo tanto, el objetivo es modesto pues no se pretende medir o evaluar los efectos, sino identificarlos y describirlos en la medida que los actores del proceso los signifiquen como tales. Esto permitirá, a futuro, estudios más profundos sobre la base de una mejor compresión de las lógicas intrínsecas de los procesos de innovación. El documento está organizado en cuatro apartados. El primero resume las aproximaciones conceptuales relevantes sobre el tema.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
Undoubtedly, high demands for food from the world-wide growing population are impacting the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as the fourth evolution in the farming technology, puts forward four essential requirements: increasing productivity, allocating resources reasonably, adapting to climate change, and avoiding food waste.
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.