AI in LiteFarm

1.

Information repository related to specific agriculture topics

There are many free educational videos that offer wealth of knowledge, but information in these videos is quite specific and not searchable. Idea is to transcribe these videos using whisper AI and create articles also using AI summarizer that can be tagged in terms of topic (Eg: rearing pigs), region (Eg: Canada / Pacific NW) and indexed, and made available on our website or app, so that is more relevant and contextual (as opposed to a google or Chatgpt search which can be quite generic if you’ve tested this). This can be achieved using free AI tools and won’t require a lot of upkeep. Main benefit is that information on the internet is quite broad and very North America skewed (US majorly), but we can use AI to find very local and very specific info to create something out of it. Good for knowledge transfer, especially with ageing farming communities. I’m only cautious about one thing: if some org creates short reels on this information and the new age users find it more relevant

Example of videos: https://www.accessagriculture.org/category/46/plant-health?page=1

@Divya Chayanam

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2.

AI Crop Issue Assistant (Chatbot or Agent)

An idea is to build a ChatBot or workflow agent that helps farmers diagnose crop issues by describing symptoms (e.g., “leaves are turning yellow with brown edges”). The assistant could ask follow-up questions and use AI to suggest likely causes—such as nutrient deficiencies, pest problems, or watering issues—and recommend next steps or relevant resources.

Why it’s useful:

• Many farmers may not have quick access to agronomists.

• Reduces crop loss by enabling faster action.

• Encourages adoption of LiteFarm as a smart farming assistant.
  
  For me personally it is much better to do everything in one place , than every time try to find an information you need.

@Denis Dovganyuk

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3.

Smart Support Assistant (AI Help Bot)

Idea: Create an AI-powered support assistant that helps users troubleshoot issues before they need to contact the support team. It would simulate a conversation—asking follow-up questions and providing tips or links based on user input.

Example use case:
User is having trouble adding a crop. The assistant asks clarifying questions, then responds with:

• “Have you tried changing the crop name? It must be unique.”

• “Here’s a quick video on how to add crops: [YouTube link]”

• “Need more help? Would you like to connect with the LiteFarm Support Team?”

Why it's useful:

• Reduces pressure on support staff.

• Gives users quick answers, even outside of support hours.

• Makes onboarding and troubleshooting much smoother.

Bonus: Over time, it could learn from past user issues to improve its answers and flow.

@Denis Dovganyuk

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4.

Crop Expert chatbot

This chat bot takes in details about your farm and can answer questions about a crop.

I am a new farmer and I do not know how many applications of fertilizer, nutrients, to put on for cabbage.

This answer may be nuanced based on soil type, management practice, climate, crop lifecycle. It has access to research jounals and can provide advice taking into your farm details.

AI chatbot returns the nutrient informations with a “Create soil amnedment task” button to automatically create tasks in a management plan.

@Duncan Brain

5

Task creation bot

Questions like:

“How often should I add magnesium to broccoli” could return answers and allow you to create soil amendment tasks”

This can apply to other tasks”

“How often should I oil my tractor” >> custom task to oil tractor 2x per year

@Duncan Brain

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Management practice bot

New farmers are interested in sticking to a set of farming practice principles (biodynamic, bio intensive, organic, regenerative) . Make a bot that is a local expert for these management practices

@Duncan Brain