Project Everest

All-See(d)ing Farming Chatbot

by
Ashley Xu
Ashley Xu | Jan 4, 2017 | in Knowledge Base

Using IBM Watson we could create a chatbot that draws from databases on farming knowledge and can provide answers with an attached probability rating. The advantage with IBM Watson is that it can understand natural language and interact with users in a human way.

The chatbot will assist farmers by providing answers to their questions, giving advice and recommendations on specific farm problems. For example, farmers could take a picture of the pest/disease affecting their crop and the chatbot will provide them with the top 2 most probable answers. The app could also automatically warn the user of changes in weather condition.

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edited on 4th January 2017, 03:01 by Ashley Xu

Amelia Gartner Jan 4, 2017

Love this idea! So much good research coming out now about the success of AI interface chat bots becoming successful if done right in customer experience, no reason why this couldn't be replicated for an Agriculture use as well!

"A research conducted by the conversational commerce company, Flamingo Customer Experience Inc., showed that 77% of consumers are comfortable and very comfortable with the concept of using Chatbots when interacting with organization. About the same percentage of businesses (73%) believe that Chatbots are somewhat to very relevant to their businesses."
http://thetechportal.com/2016/11/29/research-...or-ai-chatbots/

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Ganan Ganeshanantham Jan 4, 2017

What a great idea, it really shows the way we are heading in the future! Looking forward to seeing where this will go. Keep the ideas flowing Ash

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William Ashford Jan 4, 2017

This is the underlying concept behind Project FarmEd; leveraging cognitive computing to provide farmers with personalised, world-class farming advice.

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William Ashford Jan 12, 2017

Ashely, could you please explain what this idea is beyond the concept for cognitive computing applications for farming, which you were provided with in your brief.

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Ashley Xu Jan 12, 2017

The only real difference is the interface of the app. I was thinking of something along the lines of a Siri/Google Now type system where questions are asked and the app will produce an answer. However, this may not provide enough directions for farmers that do not have high digital literacy.

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