As the population grows rapidly, conventional farming methods cannot produce enough food for everyone. Efforts have been made with successful deforestation on farms, but natural disasters and global warming hinder the process. To address this, disruptive technologies are being used as artificial intelligence to build specific farms. Today’s problems require modern solutions, do they not?



As climate change and global census begin to put more strain on the traditional model of farming, the need for a smart agricultural solution is crucial. By 2050, the world’s population will increase by more than two billion. Current crop yields and clean water sources will not be enough to support the population of over 9 billion people.


Artificial Intelligence (AI) is the foundation for driving future food technology and has the potential to raise billions of dollars in the food industry. It assists in all areas, from processing to production and security to delivery. By studying previous data, machine learning can make predictions for the future. Learn how AI will transform the food industry. Agriculture and food science is in the middle of a technological revolution, enabled by drones, remote sensing and machine learning. 

On 15 May 2017, the Machine Learning Society hosted an event to showcase high-tech farming techniques used in direct and urban farming. Our keynote speaker is Ryan Hooks of Huxley. Huxley uses computer vision, Augmented reality (AR), and A.I. significantly improve yields while downplaying the costs and needs of resources. Huxley creates a “plant application” for 95% groundwater, double velocity, 2/3 lower carbon emissions, and half the required nutrients. Come to our event to learn more.

Do You Know about…..?


Agritecture is a blog and forum for information on growing food in our cities. The blog promotes new, unique, and advanced urban agricultural design ideas; and linked them to real research and businesses in urban agriculture.

Agritecture fans are eager to learn about everything ‘Designed for Growth’ from the most efficient plant factory to the leading design services in the development of the luxury real estate. Twitter Agritecture and Facebook are excellent for the business of the industry, and our Instagram is ready to inspire design in a meeting place between architecture and agriculture.



AeroFarms is in the process of transforming agriculture by building and utilizing environmentally friendly farms around the world to maximize local production and feed our communities with safe, nutritious, and delicious food. AeroFarms disrupts the traditional supply chain by building farms along major distribution lines and areas close to human settlements. The company opposes the growing seasons by allowing local farming at a commercial level throughout the year. They set new standards for tracking by treating vegetables from one seed to another. They do it all while using 95% less water than field food and yield 130 times more per square meter per year. AeroFarms was recently featured in CBS News and CNN.


A number of digital technologies are coming together to address food security:

  1. Robotic process automation (RPA) can improve quality control and prevent human error that could contaminate food during production.
  2. Better hygiene practices such as local cleaning technologies (CIPs) can monitor low levels and improve the reliability of cleaning procedures.
  3. Improved visibility of the supply chain and heat sensors of the Industrial Internet of Things (IIoT) raises confidence that perishable food and raw materials are kept in good condition and do not come close to expiration.
  4. The import of goods follows all the steps of delivery until delivery, which ensures that the goods are not contaminated or disturbed.

Diagnosis of pest and plant diseases using AI

We have seen that the computer concept of AI can detect and analyze crop maturity and soil quality, but what about less unpredictable agricultural conditions?

Using advanced imaging technology based on in-depth study, we can now detect plant and insect diseases automatically. This works using classification, detection, and image classification methods to create “eye-catching” models in plant life.

Plantix is working on same model. Plantix is ​​an AI-powered mobile app that helps gardeners and gardeners with information about diseases, pest infestations, and nutrient deficiencies — all by sharing a picture of a leaf! Anyone with an Android smartphone can check the health of plants by simply taking a leaf photo.

The Future of AI in Agriculture: Farmers as AI Engineers?

Throughout human history, technology has long been used in agriculture to improve productivity and reduce the amount of hard work people do in agriculture. From improved plows to irrigation, tractors to modern AI, it has been the evolution of people and agriculture since the inception of agriculture.

The growing and affordable availability of computer vision will be another important step forward here.

With the dramatic changes taking place in the climate, environment, and global food needs, AI has the potential to transform the 21st century agriculture by:

  • Increasing the efficiency of time, personnel, and resources.
  • Improving environmental sustainability.
  • Making resource allocation “smart”.
  • Provide real-time monitoring to promote better health and product quality.

Yes, this will require some shifts in the agricultural industry. Farmers’ knowledge of their “field” will need to be translated into AI training, and this will depend on significant investment in technology and education within the agricultural sector.

However, innovation and adaptability are not new to agriculture. The concept of computers and agricultural robots is the latest way for farmers to use new technologies to meet growing food needs around the world and to increase food security.


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