Conventional methods for developing biotechnology products rely on trial-and-error based processes, which are slow and laborious. Through biological design automation, innovative and successful products can be developed at unprecedented speed.
AI has emerged as a powerful ally, empowering commercial farmers with unprecedented capabilities and insights. From optimizing crop yields and reducing resource wastage to enhancing decision-making processes, AI is transforming the agriculture industry from the ground up.
The LaserWeeder is a pull-behind robot that seamlessly attaches to the back of tractors. LaserWeeder combines AI, computer vision software, deep learning models and lasers to identify weeds and target them for elimination.
AI and machine learning solutions can help identify new microbial strains with beneficial agricultural properties, marking them as good candidates to improve biologicals such as biopesticides, biofertilizers, and biostimulants.
Embedded vision has been transforming agriculture by enabling autonomous mobile robots to 'see' their environment for the purposes of picking & harvesting, plowing, weed & bug detection, etc.
Verdant runs on the NVIDIA Jetson edge AI platform and relies on TAO Toolkit's transfer learning to boost model production by 5x.
AI algorithms can then process this data to provide insights that aid in decision-making, improving yields and reducing waste. As a result, agriculture businesses can save costs, increase productivity, and ultimately improve their bottom line.
Fuelled by proven new digital technologies - such as AI, ML, and cloud computing - and growing agribusiness-tech partnerships, the potential for AI to deliver for modern farming needs is huge.
The company's LaserWeeder surpasses 500 million weeds eliminated across 40 different crops. 2023 deliveries will bring LaserWeeders to farms in 17 U.S. states and three provinces in Canada
In mid-December, Apple King of Yakima, WA upgraded its existing Ellips TrueSort apple grading & sorting technology to incorporate Ellips' "Deep Learning" solution called TrueAI.
2022 Top Article - AI and Custom Imaging Hardware to Address the Challenges of Growing High-quality Crops
The twin pressures of a relentless increase in the demand for larger volumes and higher quality fruits and vegetables together with pressures on growers for more sustainable farming will drive the need for higher yields at the plant level.
Laboratory results confirm that "smart," algorithmically-guided sequencing and combinations of produce treatments can dramatically extend postharvest life.
The marriage of AI and agriculture is real and it is promising. Now, more than ever, it appears that the future of farming may well lie in artificial intelligence technologies.
When it comes to certified organic systems, pest monitoring and management is paramount to a successful operation. Unlike traditional farms that have access to a bevy of specialized pesticides that can typically be utilized as needed, organic farmers aren't so fortunate.
Akin to Industry 4.0, Agriculture 4.0 refers to the next big trends facing the industry, including a greater focus on tools for precision agriculture, as well as agricultural technology ('AgTech').
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"Smart farming" is an important part of the answer to this existential question: Extremely high efficiency in food production through the targeted use of the latest technology, computer-supported and - where possible - fully automatic. Seeds are individually and precisely placed; fruits carefully picked by mechanical grippers; fertilizers and plant protection products applied in small doses and in a targeted manner. These operations require a large number of small electric motors that are both robust and powerful.