Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve...
ste compendio pone a disposición del público los mensajes clave de los foros técnicos virtuales llevados a cabo por el Proyecto Insignia Productividad y Sustentabilidad de la Agricultura Familiar para la Seguridad Alimentaria y Economía Rural (PIAF) del Instituto Interamericano...
This paper provides a chronology and overview of events and policy initiatives aimed at addressing irrigation sustainability issues in the San Joaquin River Basin (SJRB) of California. Although the SJRB was selected in this case study, many of the same...
El objetivo de esta investigación fue identificar la oferta y demanda tecnológica para plantear alternativas en la innovación de la cadena agroalimentaria de maíz en el estado de Hidalgo, México. Se realizaron las siguientes etapas: 1) caracterización de la cadena;...
Este trabajo reúne cuatro profundos estudios sobre cuestiones estratégicas del sector agropecuario, los alimentos y la agroenergía en el país, a partir de una mirada detallada del escenario internacional y el lugar de la Argentina en él. El momento de...
