- DAS aims to provide better scheme coverage while promoting crop insurance in rural areas. This aim can be more effectively achieved if the farmers themselves are able to make informed choices while demanding crop insurance services. This interface between the farmer and the Insurance Company, can best be achieved and sustained through innovative communication strategies designed to stimulate positive attitudes and behaviors.
- In spite of the development and application of new methods and approaches in publicity and awareness campaigns, crop insurance enrollment trends have progressed very gradually; the future rate of enrollment sometimes seems less promising. DAS makes an endeavor to continue to modernize and refine the process by ensuring tight integration between the publicity and enrollment process – a tight integration between communicating a scheme and educating on benefit.
- With proper adoption of technology along with agricultural science, we have designed innovative solutions for Integrated Crop Health & Weather Monitoring. This technology provides the outcomes to the farmers to decide the course of action to prevent the crop loss, by sharing the real time data via utilities such as mobile apps.
- Research, pilot and experimental case studies for applying new technologies and device interventions to improve yield and loss assessment techniques and also draw references with the farmer’s eye estimates.
With influx of remote sensing technology and unmanned aerial vehicle surveys, it is imperative to support the data so acquired with adequate ground-truthing findings. Ground-truthing activities are an integral part of the “multi” approach in the domain of agriculture. Whether it is implementation of any schemes, roll-out of any programs, execution of any projects or performance of any activity; it is inevitable to augment ground-truthing capabilities and capacities. Direct human observation is a particularly effective ground–truthing method and is most often used in agriculture.
DAS through its learning centres, makes it possible to have a perennial access to trained manpower and offers ground-truthing services with ‘scale-up’ and ‘scale-down’ agility.
Types of ground-truthing services are:
- Loss Assessments
DAS appreciates that the purpose of research is to inform action.Thus, in our projects we seek to contextualize ground truths within the larger body of our RAAS offering.
DAS appreciates that the purpose of research is to inform action. Thus, in our projects we seek to contextualize ground truths within the larger body of our RAAS offering .DAS endeavors that its research is always of high quality in order to produce knowledge that is applicable outside of the research setting with implications that go beyond the group that has participated in the research.Furthermore, the results of our findings must have implications for policy and project implementation. For this DAS engages with institutions like the Insurance Academies, Agriculture Universities, Management and Technology Institutes.
CAPACITY BUILDING AND TRAINING
Communication technologies, as a ubiquitous part of our lives today, are also becoming a reality in rural and contributing towards bridging urban-rural digital divide.
In spite of flurry of wide-reaching social networks and platforms and in the way we access and process information, some things do not and will not change. These are ways in which people use interpersonal and ‘offline’ communication to seek information and deal with issues that require understanding, credibility and confidence. Here, DAS through its study and learning, along with the traditional methods of rural advertising, offers a physical backbone to conduct personal meetings with the farmers and take them through an informed process by empathizing, educating, enabling and empowering.
CROP CUTTING EXPERIMENT
DAS whilst is well equipped to execute the co-witnessing the CCEs in their current form and as stipulated by the PMFBY terms of reference, suggests to include pilot and experimental case studies for applying new technologies and device interventions to improve yield and loss assessment techniques and also draw references with the farmer’s eye estimates.
To overcome the current CCEs inconsistencies such as sampling and non-sampling, manual subjectivities and so on, it is, essential to bring in inclusive models that take into account ancillary data sets like weather and soil parameters to predict yield with more accuracy. The Internet of Things (IoT) here finds increased relevance. This can be combined with other data to forecast crop yields. Based on the data received, from remote sensing techniques, climate and other weather parameters, one can even try to conduct a large number of CCEs in the area where the probability of loss is high. DAS offers usage of drones for the purpose. DAS through a systematic integration of data collection, proposes Farmer Profiling as a way forward in Crop Insurance.