Vertical farming company AeroFarms has partnered with Nokia Bell Labs to develop a range of new technologies aimed at improving the efficiency and effectiveness of indoor farming. More specifically, the two companies come together in hopes to build a farming environment where external factors such as temperature and humidity can be fully controlled.
In addition, the project seeks to add new levels of automation to AeroFarm's process, which is why Nokia will be contributing its proprietary autonomous drone technology and orchestration systems to the partnership. The idea is that Nokia drones, which will be equipped with AI-powered imaging technology, will fly over the crops analyzing their health, plant-by-plant.
According to AeroFarm, Nokia's drone and machine vision technology will be able to go far beyond what the human eye is capable of. It will be able to identify details about a plant including "leaf size, stem length, coloration, curvature, spotting, and tearing," and do so instantaneously.
Autonomous Indoor Farming Drones
Aerofarms Teams Up With Nokia Bell Labs to Develop New Ag Tech
Trend Themes
1. Autonomous Farming Drones - Orchestrating AI-powered imaging drones to analyze plant health offers an opportunity to revolutionize the efficiency of indoor farming.
2. Controlled Farming Environments - Developing new technologies to control factors such as temperature and humidity in indoor farming environments could disrupt traditional methods of agriculture.
3. Plant Analysis Technology - Using machine vision technology to analyze plant characteristics in real time provides an opportunity to optimize crop yield and reduce resource waste.
Industry Implications
1. Indoor Farming - The application of autonomous drone technology in indoor farming could change the way the industry approaches crop production.
2. Smart Agriculture - Developing technologies for efficient and automated farming could disrupt traditional agriculture methods and promote sustainable farming practices.
3. Artificial Intelligence - Integrating AI-powered imaging technology into agriculture processes offers potential opportunities for disrupted innovation and optimization.