Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

Machine learning could guide nanotech development

Source – https://www.producer.com/

As nanotechnology hits its stride in agriculture, advances in machine learning are being harnessed to make field operations more effective while improving food safety.

Nanoparticles are extremely small, measured in billionths of a metre or nanometres. This is the realm of molecules — it takes about three water molecules to make one nanometre, and DNA is about two nanometres wide. A human hair is more than 80,000 nanometres thick.

Now, agriculture researchers are developing applications for nanoparticle use involving antimicrobials that can protect plants, as well as slow-release insecticides and fertilizers.

Many of these nanoparticles are designed be absorbed into food plants to do their work. This has caused both interest in seeing how they function and concern as to whether they might have effects on other plants or accumulate at harmful levels in food.

Nano-scale materials occur naturally and are part of regular diets. For example, casein micelles, which contain various proteins, fats and minerals, are used to make cheese. Synthetic nano-scale materials are called engineered nanoparticles, or ENPs.

According to Xingmao “Samuel” Ma at Texas A&M University the problem of tracking ENPs is complex.

In an article for the university, Ma explained that silver nanoparticles, widely used for their antimicrobial properties, can have hundreds of different shapes, sizes and coatings. Testing for every kind, in every type of plant, quickly becomes impossible for humans.

But perhaps not for machines.

Ma and his colleagues began with an existing database created from past research on metallic nanoparticles and where they accumulated in plants. They applied two algorithms to analyze data.

  • Valued for their antimicrobial properties against a wide range of plant pathogens. They can also enhance plant growth.

Nano alumino-silicates

  • Used as efficient pesticides.

Titanium dioxide

  • Used as a disinfecting agent for water. It has also been found to enhance plant performance by stimulating certain enzymes and promoting nutrient uptake.

Carbon

  • Graphene, graphene oxide, carbon dots, and fullerenes are used to improve seed germination.

Metals and magnets

  • Zinc oxide, copper oxide nanoparticles, and various magnetic nanoparticles are used for various ag applications.

Related Posts

What is Machine Learning and what are the Types of Machine Learning Tools Available?

What is Machine Learning? Machine Learning is a subfield of Artificial Intelligence that incorporates statistical models and algorithms to help computer systems learn from data and improve Read More

Read More

What is an Autonomous System and what are Applications of Autonomous Systems?

Introduction to Autonomous Systems Autonomous systems, once the stuff of science fiction, have become a reality in our world today. From self-driving cars to drones, robots, and Read More

Read More

What is Predictive Analytics and what is the Types of Predictive Analytics Tools

Introduction to Predictive Analytics Tools As businesses continue to collect vast amounts of data, it becomes increasingly challenging to make informed decisions that drive growth and improve Read More

Read More

What is Neural Network Libraries and What are the popular neural network libraries available today?

1. Introduction to Neural Network Libraries Neural networks are being used more and more in today’s technology landscape, powering everything from image recognition algorithms to natural language Read More

Read More

What is Reinforcement Learning and What are Reinforcement Learning Libraries?

Introduction to Reinforcement Learning Reinforcement learning is a machine learning technique that involves training an agent to make decisions based on trial and error. It is an Read More

Read More

What are Graphical Models? Why use Graphical Models Libraries and Types of Graphical Models Libraries?

Graphical Models Libraries are powerful tools that allow developers and data scientists to build complex models with more accuracy and less complexity. These libraries help in capturing Read More

Read More
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x