IOF ( Internet of Farms )

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  automation

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  dashboard

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  warning and notifications

Inspiration

To be honest, I have never had an Idea how agriculture climate works, what are the factors that are responsable about the quality of crops and things like that, But as I put my trust in the power of DATA SCIENCE, I believe that data science can solve the problems of agriculture, I first made a quick search about the commun problems that farmers are facing during the lifecycle of crops, I found that there are many problems including diseases, water managment, fertilizers and so many other factors, I based my prototype on these last 3 things that I mentioned, to make an IOT system that sends data to a platform which is doing analysis to this data and give some results to the farmer in a mobile application that it will be easy to understand and make decisions.

What it does

The system will be based on sensors data and they will be connecting with each other and sending data captured to a centrelized database, then the work will start on the backend of the platform to prepare data and make analysis, predictions and probabilities, a data collection, transformation into information and then sharing it as a knowledge on visualisations on the mobile application.

How I built it

Using sensors data, collecting data and send it to a cloud or a centralized database using wifi, preparing data and making analysis using multiple ML algorithms, mainly predictive modelling and regression. The platform has 3 major features: 1- Main Dashboard: The dashboard contains statistics and state of your farm:

• the state of weather, Temperature, Humidity and Wind
• the state of climate performance :
  • Climate performance is being calculated using regression, based on previous data and previous crops and giving a pourcentage of the state.
  • Giving a range of Best and Worst climate performance degree during the last 24hr
• the state of Water (if it is enough or you should put more water to crops)
• the probability of Weed or Disease that can affect crops.
• Status of Fertilizers, are they enough, not or you added a lot and this may affect negativly
• Crop Quality, Basically should be calculated based on climate and other stats 2- Automation Service This Service contains Automation to some tasks for example:
• Automate watering for a specific time if the water status is under 50% and stop watering if its more than 90%
• This service can be assigned as a AIwatering, which does watering based on the crops quality, it tries to fit the climate and do it own watering to make the best Crops quality, (using genetic algorithm) 3- Notification & Warnings Center A service to notify the farmer if something not expected happens
• You can like get warning if the water status or disease degree passed a number or gets below a degree.

Challenges I ran into

I don't have enough time to prepare a well done prototype using a ML model.

Accomplishments that I'm proud of

I am proud of what I've done so far, Thinking about multiple usecases of something is not that easy, I tried to have a clear and non complicated idea, that can be implimented easily and doesnt cost alot to be applied. I am also satisfied about the way I treat problems and use my passion which is data science in order to bring a brand new effective and innovative solution.

What I learned

I learned more about IOT how it works how it is connected where do they send data and some valuable information during my search, also I have learned some Agriculture culture.

What's next for IOF (Internet of Farms)

First of all I will see if the idea got good reviews from others, if yes I will try to make a small prototype and test it then if things goes well why not developing the idea more and turning it into real business.

Built With

• data-analysis
• iot
• machine-learning
• mobile-applications
• predictive-modelling
• sensors-data