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Agriculture automation using IoT, Machine Learnning & Drones

The internet of things has opened up the fully productive ways for soil cultivation and even to raise livestock, economically, with the help of sensors that are pretty easier to install now..

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IoT in Agriculture Automation

Smart Agriculture is the next big technology space going to explode in 10 years from now. We created a Smart Agriculture system by which the 90% of the agriculture process can be intelligently automated and completely autonomous.

Analysing The Farm
Analysing The FarmThe first and major activity of smart agriculture system is analysing the farm and converting into smart layouts. A single hectare needs to be converted into multiple grids based on the requirements.

Smart Watering System / Smart Drip Irrigation System
The existing watering system will be converted into a smart watering system, based on the soil moisture and dampness. This entire process is completely automated and in the mobile app dashboard the user can see the status in the dashboard at different points of the cultivated land.

Smart Agriculture System

Agriculture is the next big space for IoT, Data Science, AI, Machine Learning & Deep Learning Developed countries are already in progress of implementing Smart Agriculture system in to their existing model. We at iStudio Technologies helps you to implement a complete Smart & intelligent agriculture, smart farming system. The developed and developing countries are facing huge problems in labours for agriculture and agriculture related tasks. Most of the tasks can be automated by IoT and Machine Learning. Environmental factors are one of the major issues in Agriculture industry, by predicting environmental factors, there will be more yield.


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Visual View of the Automated Irrigation System

If the user wants to see the water irrigation system visually via video, they can initiate the drone to see the activity. All the sensors placed in the cultivation area have data points, and grid. The user needs to select the particular grid and the data point; the drone will autonomously move to that particular grid and give you a visual view. If the internet connectivity is not available there, all the videos gets stored locally and the data will be transferred when drone come back to the command centre / docking station.
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1) Soil Moisture analysis

Maintaining soil moisture is very important in crop cultivation. Every plant requires different soil moisture to absorb water and necessary nutrients in soil. We provide accurate soil moisture in a mobile app and our agriculture IoT system can activate necessary systems like Sprinklers, Drop irrigation system etc., to get the required soil moisture. Once the soil gets the necessary moisture, the Smart farming system will disable the drop irrigation system automatically. By this way water can be utilized in a proper way

2) Temperature analysis

Weather forecasting and temperature analysis in the field will help to take necessary actions. By predicting the temperature farmer can take necessary steps for labour, water storage, digging water drain system effectively. We provide overall weather in that area and accurate weather in the specific field.

3) Humidity analysis

Humidity is a major variable for in-depth analysis of crops environment. Plants evaporate through the pores in the leaves, which are open to take carbon dioxide. A low humidity means, plants lost a lot of water through evaporation, which means plants needs more water. We provide you a real-time analysis of the agriculture environment, which helps to take necessary actions based on that.

2) Gas Concentration analysis

By implementing gas sensors in the field, we can get fruit ripening time exactly. Methane is release when fruit rots, so, by implementing methane sensors, we can predict the fruit picking time precisely. By implementing fire sensors, we can take necessary action on fire in summer durations. Methane and fire sensor can be implemented the storage area, which can give the real-time status of the stored fruits, vegetables and crops

Analysing Environmental Factors Using IoT Agriculture System

If the user wants to see the water irrigation system visually via video, they can initiate the drone to see the activity. All the sensors placed in the cultivation area have data points, and grid. The user needs to select the particular grid and the data point; the drone will autonomously move to that particular grid and give you a visual view. If the internet connectivity is not available there, all the videos gets stored locally and the data will be transferred when drone come back to the command centre / docking station.
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Smart Agriculture Fertilizer system

An intelligent autonomous vehicle is used for fertilizing system. Autonomous vehicle can do accurate fertilizing for 24*7. As the autonomous vehicle is having night vision, solar power generation and internal battery and best gyroscope based stabilization system the fertilization activity can be done with complete automation.

Smart disease identification and pesticide spraying system

The autonomous vehicle system is having machine vision with machine learning intelligence. It can identify most of the diseases caused in crop and can spray the pesticide based on the infection concentration in the particular area.

Livestock Monitoring IoT System

The livestock area will have Bluetooth mesh network, all the livestock will be tagged with Bluetooth IoT tag, and so, the entire livestock can be monitored at any time. The cleanliness of the shed is one of the major issues in livestock health; we are implementing special sensors which will monitor the cleanliness in air, if there is any issue the sensor will alert the user in the mobile app.

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