The design of capacity development interventions is a crucial phase in the capacity development (CD) for agricultural innovation systems (AIS) cycle of the TAP Common Framework. Intervention planning follows from and builds on the visioning exercises and needs assessments carried out beforehand. Options for CD interventions will depend on the country context, ongoing programmes and funding opportunities. Prioritization should also include identification of activities that can take off immediately.
Implementation is the final stage of the capacity development (CD) for agricultural innovation systems (AIS) cycle of the TAP Common Framework. The Cycle consists of five stages:1.Galvanizing Commitment, 2.Visioning, 3.Capacity Needs Assessment, 4.CD Strategy Development and 5.Implementation. The implementation phase builds on the previous realization of a CD strategy, including an action plan, based on the results of a capacity needs assessment. Those individuals or organizations who assume responsibility for a certain activity will be in charge of implementing the plan.
Ce guide du processus de coaching a été préparé dans le cadre du projet Développement des capacités pour les systèmes d'innovation agricole (CDAIS), un partenariat mondial (Agrinatura, FAO et huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, ce qui permet l'amélioration des moyens de subsistance en milieu rural. Le CDAIS utilise une approche de cycle d'apprentissage continu pour soutenir les systèmes nationaux d'innovation agricole dans huit pays d'Afrique, d'Asie et d'Amérique centrale.
Participatory varietal selection (PVS) is a recent approach increasingly being used in developing countries to make the farmers choose the best suited variety for their locality. Sugarcane Breeding Institute, Coimbatore implemented this participatory approach in M.R.K. Cooperative Sugar Mills Ltd., Sethiathope, Tamil Nadu during 2002 to 2006. Participatory rural appraisal and agro-eco system analysis were done with the participation of farmers to assess the situation and identify the needs of sugarcane growers.
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).
Productivity growth in smallholder agriculture is an important driver of rural economic development and poverty reduction. However, smallholder farmers often have limited access to information, which can be a serious constraint for increasing productivity. One potential mechanism to reduce information constraints is the public agricultural extension service, but its effectiveness has often been low in the past.
Rwanda has experienced significant economic growth following the 1994 Genocide. This growth is attributed to the expansion of its agricultural sector, specifically farming intensification and the government’s focus on creating strong agriculture cooperatives. While Rwanda’s economic development has been impressive, many academics have argued that Rwanda’s growth comes at the cost of an authoritarian governmental regime, whose policies have too heavy a hand in the daily activities of smallholder farming.
Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of themost challenging problems in agriculture. If the diseases are not identified in the early stages, then they may ad-versely affect the total yield, resulting in a decrease in the farmers' profits. To overcome this problem, many re-searchers have presented different state-of-the-art systems based on Deep Learning and Machine Learningapproaches. However, most of these systems either use millions of training parameters or have low classificationaccuracies.
In the post-harvest area and in agriculture research in general, both in India and internationally, policy attention is returning to the question of how innovation can be encouraged and promoted and thus how impact on the poor can be achieved. This publication assembles several cases from the post-harvest sector. These provide examples of successful innovation that emerged in quite different ways. Its purpose is to illustrate and analyze the diversity and often highly context-specific nature of the processes that lead to and promote innovation.
This paper has been prepared by S. Mohan, Professor of Agricultural Entomology at the TamilNadu Agricultural University (Coimbatore, TamilNadu, India), as a success story that can be shared in Educational Programme for Capacity Development for Agricultural Innovation. The document discusses technologies for timely detection of insects in the stored products and timely control measures.