Havis, Inc. and Farmwave Pioneer AI Solutions for Harvest Optimization

Farmwave's AI software monitors loss in real-time using strategically positioned cameras, allowing prompt adjustments to optimize efficiency. To address spatial challenges within farm machinery cabs, Havis provides rugged docking solutions tailored for Dell tablets.

The Role of Robotics in Agrovoltaics: 5 Interesting Developments

While agrovoltaics is a promising strategy, it only works if the PV systems are properly utilized. That's where robotics comes into play. These five interesting developments have expanded the role of robotics in agrovoltaics & helped farmers optimize their solar technology.

7 Innovative Onion Packers Embrace True-AI to Transform the Market

By embracing True-AI, onion packers can elevate their grading performance to new heights. Its deep learning capabilities enable more accurate and consistent onion grading

Are We Underestimating AI's Likely Impact on the Food System?

AI has enabled us to notice how food production systems have been organized around the scarcity of knowledge-intensive human skills, such as perception and reasoning.

Solving Biotech Challenges with AI

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.

Transforming Agriculture: The Rise of AI in Commercial Farming

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.

AI-powered Laserweeding: A New Tool for Weed Control

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.

The Role of AI and Machine Learning in Advancing Sustainable Biologicals in Agriculture

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.

How Cameras Enable Vision in New-age Agricultural Robots

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.

Startup Sprouts Multitasking Farm Tool for Organics

Verdant runs on the NVIDIA Jetson edge AI platform and relies on TAO Toolkit's transfer learning to boost model production by 5x.

How Embedded Vision and Ai Are Revolutionizing Agriculture in India

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.

Using AI for data-driven farming of the future

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.

Carbon Robotics Adds Industry's First LaserThinning Capability to its AI-powered LaserWeeder

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

APPLE KING ACHIEVES GROUNDBREAKING GRADING RESULTS WITH ELLIPS TRUE-AI

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.

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