Smart farming Bot With IOT

Kiran Kumar

Kiran Kumar

Bengaluru, Karnataka

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  • 0 Collaborators

An IOT based Agriculture solution which automates the process of farming, making scalable urbanized farms come true In order to feed today's global population, we currently need farmland equivalent to the size of South America. Despite the exorbitant amount of land already allocated to agriculture ...learn more

Project status: Under Development

Robotics, Artificial Intelligence, Cloud

Intel Technologies
OpenVINO

Code Samples [1]

Overview / Usage

Inspiration

Currently, the world needs farmland equivalent to the size of South America to feed the world's population. However, even with this amount of land, an estimated 815 million people still go to bed hungry each night. By the end of 2050, the global population is expected to reach 9 billion, which will only make this challenge more difficult.

Sustainable agriculture and artificial intelligence (AI) can play a key role in addressing this challenge. Sustainable agriculture practices can help to increase crop yields while reducing the environmental impact of farming. AI can be used to develop new farming techniques, improve crop management, and track food production and distribution.

In addition, modern-day cities already contain half of the world's population. This means that the impact of the projected surge in global population will drastically decrease the amount of habitable land available for agriculture.

Agriculture is the most important sector in the economy of India, where nearly 60% of the population depends on it. Therefore, it is essential to find ways to make agriculture more sustainable and efficient in order to feed the growing population.

Here are some specific ways that sustainable agriculture and AI can help to feed the world's growing population:

  • Sustainable agriculture practices: These practices include using less water and fertilizers, planting cover crops, and rotating crops. These practices can help to increase crop yields while reducing the environmental impact of farming.
  • AI-powered farming: AI can be used to develop new farming techniques, such as precision agriculture and predictive analytics. Precision agriculture uses sensors to collect data about the soil and plants, which can then be used to apply fertilizers and water more precisely. Predictive analytics can be used to predict crop yields and identify potential problems, such as pests and diseases.
  • Food production and distribution: AI can be used to track food production and distribution. This information can be used to ensure that food is distributed in a way that minimizes waste and ensures that everyone has access to it.

By adopting sustainable agriculture practices and using AI, we can help to feed the world's growing population while also protecting the environment.

Here are some specific examples of how sustainable agriculture and AI are being used to feed the world:

  • Precision agriculture uses sensors and satellite data to monitor crops and apply water and fertilizer more precisely. This can help to reduce water use and improve crop yields.
  • Vertical farming grows crops in vertically stacked layers, which can be located in urban areas or other areas with limited land. This can help to increase food production in areas where land is scarce.
  • Edible insects are a sustainable source of protein that can be grown on a small amount of land. AI is being used to develop new ways to breed and raise edible insects.
  • Drones are being used to survey crops, apply pesticides, and deliver seeds. This can help to reduce the labor required for farming and improve crop yields.

These are just a few examples of the many ways that sustainable agriculture and AI are being used to feed the world. As these technologies continue to develop, they will play an increasingly important role in ensuring global food security.

Since agricultural field is declining day by day.In this rapidly changing world already brimming with hunger and agricultural difficulties caused by lack of land, we believe that our solution with underpinnings in sustainable agriculture and artificial intelligence provides a feasible solution

Elucidation of Working Solution

In order to preserve and monitor the land IOT based robots are used.This is because nearly 90 per cent of the available resources of water are used for irrigation purpose gratuitously.This demand of water may increase in the future decade.To overcome this problem we have designed an IoT based robot named “Smart Agriculture Using Bot” that includes the use of the advanced technology of AI and LI-FI which solves all the real time problems.This project aims to reduce the use of underground water supply and it’s an idea which will replace drip irrigation system. The requirements for drip irrigation are too high like pump station, control valves, etc. These requirements cost high at the time of installation.

IoT-based robots have the potential to revolutionize agriculture by making it more efficient, sustainable, and productive.

Your robot sounds like it could be very effective in reducing water use. By using AI and LI-FI, the robot could be able to monitor the soil moisture levels and adjust the irrigation accordingly. This would help to ensure that crops are getting the water they need, but not more than they need.

The robot could also be used to detect and prevent pests and diseases. This would help to reduce the need for pesticides, which can be harmful to the environment.

Overall, your robot has the potential to make a significant contribution to sustainable agriculture. I'm excited to see how it develops!

Here are some additional benefits of using IoT-based robots in agriculture:

  • They can collect and analyze data in real time, which can be used to make informed decisions about crop management.
  • They can be used to automate tasks, such as weeding and harvesting, which can save time and labor.
  • They can be used to monitor livestock, which can help to improve animal welfare.
  • They can be used to improve food safety, by detecting and preventing contamination.

As IoT technology continues to develop, we can expect to see even more innovative applications of robots in agriculture. These robots have the potential to revolutionize the way we produce food, making it more sustainable and efficient.

Methodology / Approach

Smart Agricultural bot Using IOT has a smart pump, soil moisture detector, robotic arm, uses LIFI technology. The robot is operated from a distance and it has a robotic arm which carries soil moisture detector to check the moisture level of the land. When the robotic arm is operated, the soil moisture detector checks whether the plant or crop requires water or not. It gives a light signal to solar panel (LIFI TECHNOLOGY) which automatically ON’s the smart pump provided, the water is supplied to the plant. The amount of water supplied to each plant is calculated. The camera for monitoring is kept at the top for video coverage and image processing. The records are sent to databases immediately.The motion detecting sensor is kept back, if any animal or human being is close to it the buzzer beeps and gives them a alert.

The use of LIFI technology is a particularly innovative idea. LIFI is a new wireless technology that uses light to transmit data. This is in contrast to traditional wireless technologies, such as WiFi, which use radio waves. LIFI has several advantages over traditional wireless technologies, including:

  • It is more secure, as it is difficult to intercept light signals.
  • It is more energy-efficient, as it uses less power to transmit data.
  • It is less likely to interfere with other wireless signals.

The use of LIFI in your smart agricultural bot would allow you to transmit data from the soil moisture detector to the smart pump without the need for a wireless router or other infrastructure. This would make the bot more portable and easier to install.

I think your smart agricultural bot has the potential to be a very valuable tool for farmers. It could help them to reduce water use, improve crop yields, and save time and labor. I'm excited to see how it develops!

Here are some other features that could be added to your smart agricultural bot:

  • A weather sensor to track rainfall and temperature, which could be used to adjust the irrigation schedule.
  • A pest and disease sensor to detect and prevent pests and diseases.
  • A yield sensor to track the weight and quality of the crops, which could be used to improve crop management.
  • A GPS sensor to track the location of the bot, which could be used to automate tasks, such as weeding and harvesting.

As the technology continues to develop, we can expect to see even more innovative features being added to smart agricultural bots. These bots have the potential to revolutionize the way we produce food, making it more sustainable and efficient.

• Smart Agriculture bot is placed in a part of the field it wanders around the field using AI.

• Check whether it is a tree or plant, crop or not using DIGITAL IMAGE PROCESSING.

• If the bot detects a tree or plant or crop which is needed to be watered then it goes near it, pins the sensor.

• Bot checks the moisture content of the soil using soil moisture detector.

• Bot gives light signal to the solar panel that ON’s the smart pump (that has been provided in the robot ) and the required amount of water is supplied to the crops.

• The amount of water supplied is calculated and updated in database.

Unique Innovation Criteria

• Bot can even work in high temperatures and pressure, and can move in denser areas the field where humans cannot go(lower oxygen areas).

• Bot helps the farmers to prevent their lands from pests which replaces the use of artificial pesticides.

• Bot promotes the use of advanced technology in the field of agricultural uses solar energy in the day time and stores energy for night time also. Usage of renewable sources of energy.

• Temperature and Humidity monitoring using Cloud Computing

• Bot measures the moisture content of the soil and irrigates only the required amount of water to the crops.This may reduce the half of the actual amount of water used for agriculture.

• Bot also works as a pest killer in which an electric field is applied or an ultrasonic pest avoid er is used that kills the insects and pests when the insects surround the crops.

• Bot also prevents the land from foreign bodies that enter the land like snakes, rats, etc.of Smart Agriculture using Bot are listed

Overall, smart agricultural bots have the potential to make a significant contribution to sustainable agriculture. They can help to reduce water use, prevent pests and diseases, and improve crop yields. As the technology continues to develop, we can expect to see even more innovative applications of these bots.

Here are some value added details about the features of smart agricultural bots:

  • AI: Smart agricultural bots use AI to navigate the field and identify plants and crops that need water.
  • Digital image processing: Smart agricultural bots use digital image processing to identify plants and crops.
  • Soil moisture detector: Smart agricultural bots use a soil moisture detector to measure the moisture content of the soil.
  • Solar panel: Smart agricultural bots use a solar panel to generate electricity.
  • Smart pump: Smart agricultural bots use a smart pump to irrigate the crops.
  • Database: Smart agricultural bots store data about the crops, such as the amount of water they have received.

These are just some of the features that are currently being used in smart agricultural bots. As the technology continues to develop, we can expect to see even more innovative features being added to these bots.

Farmers Reaction and Updates on "Smart Farming bot Using IOT"

The smart Farming bot using IoT has been well-received by farmers. The bot is able to perform a variety of tasks, including:

  • Monitoring the moisture content of the soil and irrigating crops only when necessary, which can help to conserve water.
  • Removing weeds, which can help to improve crop yields.
  • Predicting rain, which can help farmers to plan their irrigation schedules.
  • Controlling automatic rainwater storage tanks.
  • Monitoring crops for pests and diseases, and taking action to prevent or control them.
  • Providing farmers with real-time data about their crops, such as the amount of water they have received, the temperature and humidity of the soil, and the presence of pests and diseases.

The bot is also equipped with a variety of safety features, such as sensors that detect obstacles and prevent the bot from colliding with them. The bot is also designed to be easy to use, and farmers have been able to learn how to operate it quickly and easily.

The use of smart agriculture bots has a number of advantages, including:

  • Increased crop yields: By reducing water use and preventing pests and diseases, smart agriculture bots can help to increase crop yields.
  • Reduced costs: Smart agriculture bots can help to reduce the costs of farming, such as the cost of water and pesticides.
  • Improved efficiency: Smart agriculture bots can help to improve the efficiency of farming, by automating tasks and providing farmers with real-time data about their crops.
  • Environmental benefits: Smart agriculture bots can help to reduce the environmental impact of farming, by conserving water and reducing the use of pesticides.

The use of smart agriculture bots is still in its early stages, but it has the potential to revolutionize the way we farm. As the technology continues to develop, we can expect to see even more innovative applications of these bots.

In addition to the advantages mentioned above, the use of smart agriculture bots can also create jobs in the field of monitoring. Engineers will be needed to design, build, and maintain these bots. This is a growing field, and there is a demand for skilled engineers in this area.

The use of smart agriculture bots is a promising new technology that has the potential to improve the efficiency, profitability, and sustainability of farming. As the technology continues to develop, we can expect to see even more widespread adoption of these bots in the years to come.

Technologies Used

Intel Xeon E5 E5-2620V4 Processor GIGABYTE MD80-TM1 (rev. 1.0)
Intel Open Vino Toolkit OPenCV

Repository

https://github.com/Apollo9999/Smart-Farming-Bot-Using-IOT

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