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Artificial Intelligence in Agriculture. Part 1: How Farming is Going Automated with Robots – AI.Business


The global population is expected to reach 9 billion people by 2050, which means double agricultural production in order to meet food demands. Farm enterprises require new and innovative technologies to face and overcome these challenges. Artificial intelligence robotics is one of these technologies that promises to provide a solution. An increasing number of farmbots are being developed that are capable of complex tasks that have not been possible with the large-scale agricultural machinery in the past. Here's a list of real use cases of robots that will help agriculture changing.

Connected Farming: 5 IoT Applications Redefining Agriculture


In present times, farmers are leaning towards using modern technologies to maximize their production with minimal efforts and resources while also meet the demand of global hunger. While the agricultural revolution of the 1800s brought about grain elevators, chemical fertilizers, and the first gas-powered tractor and the 1960s saw the usage of satellites in farm planning, to feed the projected 9.6 billion human population of 2050, farmers and agricultural researchers need to think of new innovative solutions. Other challenges in agriculture include extreme weather conditions and rising climate change and environmental impact resulting from intensive farming practices. This is why the agriculture industry needs to embrace IoT (Internet of Things). Agricultural IoT applications make it possible for ranchers and farmers to collect meaningful data.

What's slowing the use of robots in the ag industry?


Why are so many farm equipment manufacturers so heavily involved in the ag industry yet things are going so slowly in relation to robotics? Perhaps farmers need to first incorporate the digital era -- and the concepts and practices of precision agriculture -- before taking the next step toward the use of robots. Two traditional qualifiers for farmers buying new equipment are flexibility and return on investment. Precision agriculture isn't just rhetoric; it's real-time intelligence flowing into analytics software that transforms that flow into meaningful, practical information that farm managers can react to quickly. That data -- and that process -- have costs and, for the last few years, farmers have been stretched because commodity prices are down.

4 Promising IoT Use Cases in Agriculture


Agriculture is undergoing a renaissance. IoT and artificial intelligence are enabling farmers to manage crops and livestock more reliably and efficiently. Autonomous farming equipment, livestock monitoring systems, and precision farming solutions are empowering farmers to feed our increasingly hungry and environmentally unstable world. As we begin 2019, it's exciting to reflect on all the Internet of Things--IoT--industry changes that occurred in 2018 and the trends that lay ahead in 2019. Many industries have been and will continue to be affected by the growth and maturation of IoT--school campuses will be safer, cars will be smarter, and homes will be sleeker and more intuitive, and businesses will deliver more value more efficiently.

The Power of Artificial Intelligence in Agriculture Analytics Insight


The agriculture industry now is experiencing rapid growth and adopting advanced technologies in order to bolster the overall yield of the crops. Accessibility of a large number of equipment and state-of-the-art technologies like intelligent monitoring system, drones, robots, among others has totally revolutionized this sector. Artificial Intelligence is one such vital technology in today's digital agriculture that is being implemented and deployed on a large scale for more sustainable use of available resources. In 2017, the global market for artificial intelligence in agriculture was valued at around US$ 545 million, which is now increased and predicted to reach nearly US$ 2,075 million by 2024. The market will rise at a growing CAGR of 21% throughout the forecast period.