Back in 2022, the tech community was buzzing over image-generating AI models, such as Midjourney, Stable Diffusion, and OpenAI's DALL-E 2, which could follow simple word prompts to depict fantasylands or whimsical chairs made of avocados. But artists saw this technological wonder as a new kind of theft. They felt the models were effectively stealing and replacing their work. Ben Zhao, a computer security researcher at the University of Chicago, was listening. He and his colleagues have built arguably the most prominent weapons in an artist's arsenal against nonconsensual AI scraping: two tools called Glaze and Nightshade that add barely perceptible perturbations to an image's pixels so that machine-learning models cannot read them properly.

Leo Prieto's passion for nature started during his childhood by the sea. "I was obsessed with what was under the surface. I'd anchor myself to a rock with my snorkel, and I was fascinated by all the little animals doing things that go unnoticed." His teenage years coincided with the arrival of the internet in Chile, where he became a web pioneer, launching and selling several startups. Inevitably, his interests in the environment, the internet and business merged, driven by the feeling that technological advances should not be wasted.

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale. So let it be, a fairy tale of a smart farm. First of all, what is a smart farm? Smart Farming is a concept of farming management using modern Information and Communication Technologies to increase the quantity and quality of products.

The Green Revolution during the 1950s and 1960s remarkably drove up the global food production around the world, saving a billion people from starvation. The revolution led to the adoption of new technologies like high-yielding varieties (HYVs) of cereals, chemical fertilizers and agro-chemicals, better irrigation and mechanization of cultivation methods. India followed suite and adopted the use of hybrid seeds, machine, fertilisers and pesticides. While these practices solved the food shortage problem, they created some problems too in terms of excessive use of fertilisers and pesticides, depletion of ground-water, soil degradation etc. These problems were exacerbated by lack of training to use modern technology and awareness about the correct usage of chemicals etc.

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale. So let it be, a fairy tale of a smart farm. First of all, what is a smart farm? Smart Farming is a concept of farming management using modern Information and Communication Technologies to increase the quantity and quality of products.

This technology works all over the world. Another story of a farmer from Andhra Pradesh decided to wait for sowing the seeds while all others were busy following the herd. He only followed the advisory and sowed it after he received directions. The farmer Chinnavenkateswarlu achieved 30% higher yield said, "I have three acres of land and sowed groundnut based on the sowing recommendations provided. My crops were harvested on October 28 last year, and the yield was about 1.35 ton per hectare. Advisories provided for land preparation, sowing, and need-based plant protection proved to be very useful to me."

The earth's population is 7.6 billion and will rise to 11 billion by the turn of the century. Somehow, we must feed this 45 percent larger population with 10-20 percent less farmable land, and far less farmers. At the same time, a significant fraction of land and productive crop yield will be converted into bioenergy to provide clean energy. We will therefore have a significant farm-to-fork and farm-to-tank supply chain to manage. Figure 1: IoT-in-the-Sky (satellites) combined with IoT-in-your-hand (mobile phones) provides valuable data that forms the foundation for digital agriculture at low unit costs.

Food security is threatened by many things. In some regions, climate variability causes droughts that make vital resources scarce. In others, political turmoil creates logistical blockades for farming, harvesting, and shipping produce. But, practically everywhere, plant disease can wipe out entire crops with little warning. A team of researchers at Pennsylvania State University and the École Polytechnique Fédérale de Lausanne, Switzerland have turned the keen eye of artificial intelligence toward agriculture, using deep learning algorithms to help detect crop disease before it spreads.