1 Technology to enable seamless marketing of agri commodities beyond the current geographic clusters. GOI aimed to achieve this through the eNAM but most trades on eNAM are only intra mandi trades. Grading and fulfilment are critical if marketing of agriculture trades has to start happening between mandis that are far apart. In this context, models like Kalgudi which offer a model of gratification/accreditation (which is common on most e-marketplaces like Amazon, Uber, etc) can be a pathbreaking alternative. 2 Technology backed solutions to deliver a more engaged and learning based capacity building programs to extension workers and farmers. A lot of private sector research is happening in MOOCs to improve learning outcomes for primary school students. Farmer and Extension worker specific effective learning programs should be developed.
Smart India Hackathon 2018
1. Solutions to translate weather information (LT forecast, Weather outlook and 7-day weather forecast) to very actionable advisory to farmers. This can really play a major role in building climate resilience of farmers. 2. Technology solutions to improve traceability in both Agri input supply chains (especially for seeds) and for Agriculture outputs. Technologies like block chains can really help make this a reality 3. Technology solutions that can help crop insurance achieve faster claims processing and settlement. As of today, GOI still uses CCEs to assess crop damage and trigger settlements. There are plenty of moral hazards with CCEs and there is no incentive for farmer to put in good efforts. Can there be a technology based workflow solution that incentivizes good behavior and also can trigger on-demand scalable assessments of crop damage (Possibly drones could be a good technology).
Development of an app for identification of crops, weeds, diseases and pest damage and nutrient deficiency symptoms. The app should have user selection features such that: Item to identify – Crop, Weed, Pest damage, disease damage, nutrient deficiency. The app should have access to the devise’s camera. The developers should have an extensive database of photos of Crops, weeds, other plants, trees, symptoms in the leaves that has been caused by pests, diseases and also typical examples of major and minor nutrient deficiency symptoms. The app should have the algorithms for object detection, and image classification Pattern recognition algorithms should be developed to provide a close match for all possible inputs and further get the most likely matching of the inputs. There can also be a pattern matching algorithms, to look for exact matches in the input with pre-existing patterns.
A mobile App MKrishi@fishereis has been developed by the ICAR-Central Marine Fisheries Research Institute, Kochi to aid marine fishermen of the country. The App provides multilingual information on Potential Fishing Zone (PFZ), sea surface temperature, weather and also helps the fishermen in knowing the wind speed and direction and wave heights. However, this Mobile App has some limitations as it can be used only up to a range of 30 km radius from the shore line and the deep sea fishermen who normally venture farther into the ocean are unable to get real time information during fishing operations in the deeper waters of Indian EEZ. This Mobile App can be further enhanced by increasing the range of operation so that it can be made use of by the deep sea fishermen of the country who venture into deeper and farther areas from the coast. The Mob App should also include additional information like Global Positioning System (GPS) indicating real time position, movement and distance covered by the vessel and should provide a means of communication so that the fishermen are able to have regular contact with other boats and shore for their safety.
Usually the agricultural produce is purchased from the farmers at a low price and sold to the consumers at relatively very high price because of a large number of middlemen involved. Direct contact between the farmer and retail seller or wholesaler can reduce the number of middlemen involved in the marketing chain. A mobile based App that can facilitate the direct contact between producer (farmer) and buyer may reduce this wide price gap or a real time interactive system for communication between farmers and Mandis.
Farmers generally face problem with disease/pest attack on different varieties. Over the period of time, the severity has increased and resulted in losses of crop. An intelligent system can be attempted with modern analytical tools to support in timely forewarning and remedial measures for the same. System should issue advisory with sms alert in local languages. System should have provision for real time expert advise as an when required in some interactive manner.
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