China has published plans to mass-produce humanoid robots by 2025, as Western companies including Elon Musk's Tesla race to produce their own humanoids. Goldman Sachs has predicted that the market for humanoid robots could be worth $150 billion a year worldwide within 15 years - and that humanoid robots will be viable in factories between 2025-2028 and in other jobs by 2030-2035. The technology will have a positive impact in many fields, believes Marga Hoek, author of Tech For Good, but people need to prepare for it. How will robots change the world of 2035? Hoek said that predictions suggest that up to a quarter of all jobs could be impacted by robotics and AI technology.

Agriculture is an important economic sector in every country. The global population is growing at a rapid pace, as is the demand for food. Farmers' traditional methods are not sufficient to meet the demand at this time. As a result, some new automation methods are being introduced to meet these requirements while also providing numerous job opportunities in this sector. Artificial intelligence has emerged as one of the most important technologies in virtually every industry, including education, banking, robotics, agriculture, and so on. It is playing a critical role in the agriculture sector and is transforming the industry.AI protects the agriculture sector from a variety of threats, including climate change, population growth, labour shortages, and food safety.

Artificial Intelligence is extending its footprints in almost every nook and corner of the scientific research whereby its tremendous calibre and path breaking operational driver has exposed almost every arena to a new light. Generally speaking, Artificial Intelligence is a new and robust substitute to almost every conventional method which otherwise lacks expertise to resolve, handle and tackle the situations in possible adequate manner. It has the potential to revolutionize and metamorphose science and technology to new attire. Amid use and deployment of Artificial Intelligence in almost every arena, how can someone forget to mention the essence of Artificial Intelligence in the field of Agriculture? Precisely speaking, more than one half of the population of India directly depends upon farming and agriculture as their core livelihood in as much as the matter does not limit to the factum of livelihood only but it obviously feeds a nation for its survival.

This is where precision farming meets abstract art. OneSoil, an agritech start-up from Belarus, has just launched an interactive digital map of crop data for more than 57 million fields across the U.S. and Europe. The map provides detailed information on various crop types in 43 countries collected over the past three years, allowing users to see how fields have changed from 2016 to 2018. The OneSoil map makes local and global trends in crop production available to everyone with a stake in farming. In so doing, it helps predict market performance of these crops, and aids decision-making by farmers and traders.

Mike is a 40-something crop farmer from southern Queensland. With a chestnut tan, crushing handshake and a strong outback accent, he's the third generation of his family to grow sorghum, a cereal mostly used for animal fodder. But, like most farmers, Mike faces more challenges than his forbears. Climate change has eroded Australian farms' profitability by an average of 23% over the past 20 years. It's a constant challenge to improve productivity by producing more with less.

Technological advances are bringing change to a great number of industries, and the agriculture industry is no exception. Farms are slowly starting to see increased adoption of practices based on technologies such as artificial intelligence, cloud computing, the Internet of Things (IoT), and robotics. The adoption of such technologies into the traditional farming practices as we know them is referred to as smart farming or farm automation. Let's have a look at what farm automation is exactly and how it can help farmers tackle a number of challenges in today's agricultural sector. Farm automation specifically focuses on applying data and information technologies for the optimization of production processes of complex farming systems as well as the quality of the food.

Precision farming is one way of many to meet a 70 percent increase in global demand for agricultural products on current agricultural land by 2050 at reduced need of fertilizers and efficient use of water resources. The catalyst for the emergence of precision farming has been satellite positioning and navigation followed by Internet-of-Things, generating vast information that can be used to optimize farming processes in real-time. Statistical tools from data mining, predictive modeling, and machine learning analyze pattern in historical data, to make predictions about future events as well as intelligent actions. This special issue presents the latest development in statistical inference, machine learning and optimum control for precision farming.

In its 4 year existence the Israeli start-up Taranis has seen huge growth. Taranis started as a tool to provide farmers with the information to detect and prevent crop disease, weeds and insect damage based on weather forecasts gathered from aerial surveillance. The technology was then further developed by adding visual layers from satellites, planes and drones and leveraged with AI capabilities. Taranis also created a one-of-a-kind, patented hardware that can capture accurate images at a high resolution from a plane flying at 160 km/h, such as a specific insect on a leaf from 200 feet above ground. Taranis CEO Ofir Schlam says the future of the precision farming industry is looking bright, with thousands of start-ups emerging within the last 10 years. According to him, smart farming is projected to create a massive impact on the agricultural economy in the near future and will be dependent on precision technologies, such as the adoption of automated practices and indoor urbanised farming.

How does artificial intelligence-powered precision farming affect food sustainability? This is the question we asked our panel of experts. "Precision farming" is a bit of a buzz phrase; it is often used, but rarely defined. Generally, it means the widespread adoption of new technologies to accurately monitor and control agricultural activity. But which technologies are adopted and which consequences result?

Technology is transforming our food chain, with some of the most important innovation occurring in the rise of precision farming. Together, artificial intelligence (AI) and automation are revamping the agriculture industry, helping farmers operate efficiently and in new ways. Today's farm is powered by data, along with a variety of devices and technologies, including sensors, GPS satellites, drones, and robots. This combination of automation and farming may mean to less friction and fewer obstacles for farmers, both for crop-based decisions and interacting with the USDA for permits. These exciting advancements, however, are not possible without dependable and scalable data centers.