The proposed solution will provide the farmers with useful data and services to help them sell their produce at a better rate. The feature of real-time inventory visibility at the distribution centres will assist the farmer in making an informed decision and accepting the most profitable bid. Communication with the farmer can be established through SMS. Using live time weather data, market trends and terrain information, best crop suggestions will be provided. In case of infected plants, the system provides a functionality to detect diseases through the picture of infected plants. The farmer will be able to get an estimate of his profits for the current yield by using the Farm Profit Calculator module. The portal will be available in multiple regional languages to reach a larger demographic.
The offline message services and data exchange is not currently supported as an open source product in India, which is why we had to utilize Twilio Client, a US-based API for SMSs and verification purposes. Not being able to use the premium version of dependencies, our scope was comparitively limited. When dealing with transactions between the warehouse and farmers, we weren't able to provide a substitute to visual inspection of the produce and hence, there has to be a sole middleman for verification of goods. Integrating the efficacy of surge pricing into the farming sector was a difficult ordeal as we did not have a lot of reliable data to base our model off. Foreign dependencies could not be utilized to the fullest due to the monetary and regional restrictions. Precise live location of farmers cannot be retrieved due to inavailability of internet.
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