Collaborating Authors


Droning the Future of India


As an avid (retail and otherwise) investor and contributor in Indian and world technology markets, with the inputs from my friend from one of the largest Indian online brokerage firm; I am expressing my and collective views on Indian Drone Industry Growth in general. Please expect a technical analysis of the mechanism of Drone in separate post- however, right now i am trying and attempting to spice up and invite interest of non scientific community to this beautiful application based on ground Indian reality. These Drone companies, will provide commercial robotic drones and drone-based solutions for crop protection, crop health, precision farming, and yield monitoring using artificial intelligence and analytics for the agricultural sector. Some of the very promising Indian stocks worth buying in this area (***pls check for yourself and analyze instead of buying them straight way). Adani Enterprises*** announced on May 27 that it has signed a definitive agreement to acquire a 50 percent stake in General Aeronautics Private Limited.

John Deere closes in on fully autonomous farming with latest AI acquisition


John Deere is announcing the acquisition of a state-of-the-art algorithm package from artificial intelligence startup Light. For those of you wondering when driverless vehicles will truly begin to make their mark on society, the answer is: today. Up front: No, you won't be seeing green tractors rolling themselves down city streets anytime soon. But the timeline for fully autonomous farming is being massively accelerated. Today's purchase is all about John Deere's need for speed -- and accuracy, but first let's talk about rapid development.

Davos 2022: Artificial intelligence is vital in the race to meet the SDGs


The computer algorithm, which was trained using mammography images from almost 29,000 women, was shown to be as effective as human radiologists in spotting cancer. At a time when health services around the world are stretched as they deal with long backlogs of patients following the pandemic, this sort of technology can help ease bottlenecks and improve treatment. For malaria, a handheld lab-on-a-chip molecular diagnostics systems developed with AI could revolutionize how the disease is detected in remote parts of Africa. The project, which is led by the Digital Diagnostics for Africa Network, brings together collaborators such as MinoHealth AI Labs in Ghana and Imperial's Global Development Hub. This technology could help pave the way for universal health coverage and push us towards achieving SDG3.

Will Artificial Intelligence and robotics usher in an era of sustainable precision agriculture?


Across midwestern farms, if Girish Chowdhary has his way, farmers will someday release beagle-sized robots into their fields like a pack of hounds flushing pheasant. The robots, he says, will scurry in the cool shade beneath a wide diversity of plants, pulling weeds, planting cover crops, diagnosing plant infections, and gathering data to help farmers optimize their farms. Chowdhary, a researcher at the University of Illinois, works surrounded by corn, one of the most productive monocultures in the world. In the United States, the corn industry was valued at $82.6 billion in 2021, but it -- like almost every other segment of the agricultural economy -- faces daunting problems, including changing weather patterns, environmental degradation, severe labor shortages, and the rising cost of key supplies, or inputs: herbicides, pesticides, and seed. Agribusiness as a whole is betting that the world has reached the tipping point where desperate need caused by a growing population, the economic realities of conventional farming, and advancing technology converge to require something called precision agriculture, which aims to minimize inputs and the costs and environmental problems that go with them. No segment of agriculture is without its passionate advocates of robotics and artificial intelligence as solutions to, basically, all the problems facing farmers today.

Artificial intelligence at the gates of the food industry


First of all, when growing agricultural products, which is the first step of food production, in the future, consumers are expected to grow and use plants directly for cooking without using pesticides at home. There are already many companies that have introduced growers of plants that make this possible. Samsung Electronics and LG Electronics are examples. Vegetables are automatically grown by placing the seeds in the inner shelf of the planter, which is similar in size to a household refrigerator. Temperature, humidity and nutrients are automatically controlled by AI (artificial intelligence). Heliponics, a start-up from Purdue University in the United States, has also introduced the'Gropot' indoor plant grower. Artificial intelligence automatically adjusts the temperature and humidity of agricultural products... The entire process of distribution and transportation is tracked seamlessly using blockchain technology.

10 Ways AI Has The Potential To Improve Agriculture In 2021


IoT-enabled Agricultural (IoTAg) monitoring is smart, connected agriculture's fastest-growing ... [ ] technology segment projected to reach $4.5 billion by 2025, according to PwC. AI, machine learning (ML) and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields and reduce food production costs. According to the United Nations' prediction data on population and hunger, the world's population will increase by 2 billion people by 2050, requiring a 60% increase in food productivity to feed them. In the U.S. alone, growing, processing and distributing food is a $1.7 trillion business, according to the U.S. Department of Agriculture's Economic Research Service. AI and ML are already showing the potential to help close the gap in anticipated food needs for an additional 2 billion people worldwide by 2050.

This is how we can double food production by 2050


It's a collision course: We'll need to feed another 2 billion people by mid-century, even as climate change threatens our ability to produce food. Georgia, Florida and other Southeastern states must play a central role if we're to feed the world and simultaneously protect the planet. If we fail to rise to this challenge, we risk a multitude of problems driven by hungry people. And a new report released from the UN Intergovernmental Panel on Climate Change only heightens the concern. Our best chance to get off this collision course is through innovation.

John Deere is becoming one of the world's most important AI companies


John Deere has been in business for nearly 200 years. For those in the agriculture industry, the company that makes green tractors is as well-known as Santa Claus, McDonald's, or John Wayne. Heck, even city folk who've never seen a tractor that wasn't on a television screen know John Deere. The company's so popular even celebrities such as Ashton Kutcher and George Clooney have been known to rock a Deere hat. What most outsiders don't know is that John Deere's not so much a farming vehicle manufacturer these days as it is an agricultural technology company.

AI/ML, Data Science Jobs #hiring


Bowery Farming is a New York-based vertical farming and digital agriculture company with farms in New Jersey, Maryland, and Pennsylvania. It grows and delivers pesticide-free lettuce, leafy greens, and herbs.

Considering the risks of using AI to help grow our food


Artificial intelligence (AI) is on the cusp of driving an agricultural revolution, and helping confront the challenge of feeding our growing global population in a sustainable way. But researchers warn that using new AI technologies at scale holds huge risks that are not being considered. Imagine a field of wheat that extends to the horizon, being grown for flour that will be made into bread to feed cities' worth of people. Imagine that all authority for tilling, planting, fertilising, monitoring and harvesting this field has been delegated to artificial intelligence: algorithms that control drip-irrigation systems, self-driving tractors and combine harvesters, clever enough to respond to the weather and the exact needs of the crop. Then imagine a hacker messes things up.