In this paper, a novel method to collect symptoms of the disease, as observed by the farmers, using a mobile phone application has been presented. A cumulative composite risk index (CCRI) obtained from more than one existing disease forecast models is validated from the actual late blight queries received from the farmers. The main contribution of the paper is a protocol that combines the symptoms based diagnostic approach along with the plant disease forecasting models resulting in detection of Potato late blight with higher accuracy.
Agriculture in South Asia is vulnerable to climate change. Therefore, adaptation measures are required to sustain agricultural productivity, to reduce vulnerability, and to enhance the resilience of the agricultural system to climate change. There are many adaptation practices in the production systems that have been proposed and tested for minimizing the effects of climate change. Some socioeconomic and political setup contributes to adaptation, while others may inhibit it.
To augment youth employment, the Government of India has launched a number of skills training programs. This paper deals with participation in and the impact of one of these programs [Deen Dayal Upadhyaya Grameen Kaushal Yojana (DDUGKY)] located in rural Bihar, one of India’s poorest states. The analysis is based on data collected in mid-2016 and compares trained participants with non-participants who applied for the scheme but eventually did not attend
Rainfed agriculture with nearly 58% of the cultivated area is home to about 40% of human and 60% of livestock population in India and contributes 40% of the country's food production. Even after full realizing the full irrigation potential of the country, half of the cultivated area will continue to be under rainfed farming which highly dependent on monsoon rainfall. It is widely believed that increasing rainfall variability is likely to affect the livelihoods of millions of small and marginal farmers in the years to come.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
Rapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance.
The startups are an exemplar that great things are done by a series of small things brought together. Taking one small step at a time, moving from one problem to another and solving the issues by disruptive innovation is what these startups are trying to achieve. The startups are not only creating new jobs which means more employment but are also leaving a ripple effect on the socio-economic fabric of the demography in which they are operating. The world has become a playfield for these young entrepreneurs as the global startup revolution continues to grow.
This brochure presents startup profiles, an incubatee coffee table book which captures the brief profile of agriculture startups being incubated at a-IDEA, the Technology Business Incubator of National Academy of Agricultural Research Management (ICAR-NAARM) supported by Department of Science & Technology of India. The incubation centre at NAARM is providing a conducive environment for growth of startups in agriculture.
Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles to establish how research is actually put into use. The first, which concerns the configurations of organisations and their relationships associated with innovation, reveals the additional set of resources and expertise that research needs to be married to, and sheds light on the types of arrangements that allow this marriage to take place.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.