Cybertiks

Contact for Pricing

Twitter

Facebook

Copy Link

Revolutionizing AI Data Analysis for Sustainable Agriculture

How Cybertiks can help you:

Analyze field metrics remotely with AI-driven accuracy.
Monitor field status and changes every 7 days.
Access historical field metrics via satellite archives.
Visualize field analyses with high-resolution mapping.

Why choose Cybertiks: Key features

Integration of satellite imagery with accurate AI models.
Custom solutions tailored for diverse industrial needs.
Advanced sensor fusion for comprehensive data analysis.
Capability to detect, classify, and quantify elements or minerals.
High AI model accuracy exceeding 80%.

Who should choose Cybertiks:

Agricultural professionals seeking to leverage satellite data for field analysis.
Industries requiring remote sensing and monitoring solutions.
Organizations looking for custom AI-driven data analysis systems.
Entities focused on sustainable agriculture practices.

About Cybertiks

Website

https://cybertiks.com

Release Date

March 2024

Pricing

Contact for Pricing

Related fields

Related News

Si-Ware Systems & Rock River Laboratory Offer Superior Greenhouse Efficiency With CropScout

MENLO PARK, CA, November 13, 2024 (Newswire.com) - The fully integrated solution empowers growers to proactively monitor, detect, and diagnose crop health issues to maximize yield, optimize resources, and minimize risk of crop loss. Si-Ware Systems, a leader in delivering innovative multi-disciplinary technology solutions, in collaboration with Rock River Laboratory-an advanced agriculture laboratory network with decades of expertise-proudly introduces CropScout. This groundbreaking solution is designed to streamline greenhouse horticulture operations by enabling autonomous crop monitoring, precise detection, and comprehensive diagnostics of crop abnormalities. CropScout offers growers enhanced yield, optimized resource use, and minimized crop loss through early detection and intervention - all without significant infrastructure investments. With global demand for sustainable and high-efficiency food production on the rise, the greenhouse crop cultivation market is projected to grow from $35.6 billion in 2024 to $77.83 billion by 2032*. High operational complexities and rising costs challenge growers to maintain efficiency. CropScout tackles these hurdles with early intervention capabilities, delivering precise crop health insights while requiring minimal setup and operational input. The solution consists of: an autonomous drone that captures high-resolution images of crops across the greenhouse, AI-driven smart image processing powered by Rock River Laboratory to detect early signs of crop stress, and the NeoSpectra Portable Near Infrared (NIR) device for precise diagnostics of plant health parameters. This seamlessly integrated system ensures that growers can capture, analyze, and respond to crop health data in real-time, maximizing their productivity and minimizing resource waste. "The partnership with Si-Ware successfully combines their technological innovation and our long-standing agricultural analysis expertise for the betterment of the industry," stated Zachery Meyer, CEO of Rock River Laboratory. "Our AI image processing algorithms accurately alert growers to a wide range of potential health issues for diverse high-value crops - offering time to make confident, informed decisions." Mostafa Medhat, Senior Vice President of Commercial and Product at Si-Ware Systems said "CropScout is more than a monitoring system-it is a transformative solution that provides growers with real-time, actionable data to proactively manage crop health. With a combination of advanced and easy-to-operate technologies, CropScout puts crop care on autopilot so that growers can make quick corrective actions." Designed for greenhouses of all sizes, CropScout's autonomous operation eliminates labor-intensive monitoring.. Through early detection and correction of issues such as nutrient imbalances, pest infestations, and environmental stressors, the system helps prevent crop losses, maximize yields, and optimize the usage of valuable resources throughout the plants' growth cycle. CropScout sets a new standard in sustainable and precision crop management, for growers to achieve greater efficiency and resilience in their operations. Join the early adopters' program Si-Ware Systems invites early adopters to request participation in exclusive early trials. These participants will gain access to advanced support and insights, positioning them at the forefront of precision greenhouse horticulture technology. Visit Si-Ware Systems' website to learn more or contact Si-Ware Systems to join the early adopters' program for exclusive trials. [*] Source: Market Data Forecast: https://www.marketdataforecast.com/market-reports/greenhouse-horticulture-market About Si-Ware Systems Si-Ware Systems is a deep technology company that is pioneering advancements in optical Micro-Electromechanical Systems (MEMS), spectroscopy, and AI cloud-based software platforms. Si-Ware is the creator of NeoSpectra: an all-in-one, universal material analysis solution platform built on a family of single-chip FT-NIR spectrometers that enables businesses to bring their laboratories to the field. The company is headquartered in Menlo Park, California, with research and development centers in the USA, France, and Egypt, and a global sales and support footprint. For more information about Si-Ware Systems and the NeoSpectra platform, please visit www.si-ware.com About Rock River Laboratory Founded in 1976, Rock River Laboratory is a family-owned laboratory network that provides production assistance to the agricultural industry through the use of advanced diagnostic systems, progressive techniques, and research-supported analyses. Employing a team of top specialists in their respective fields, Rock River Laboratory provides accurate, cost-effective, and timely analytical results to customers worldwide, while featuring unsurpassed customer service.

Newswire

Wed, 13 Nov, 12:28 PM UTC

10 ways AI can make farmers' jobs easier

For those who work the earth, AI can be an invaluable tool for making that work more efficient, sustainable and productive. AI helps farmers use the same tools they have been using for centuries, but with improved efficiency and focus. Here are 10 tips for farmers looking to use the new wave of AI-assisted farming. It may look like a Mars rover, but the BoniRob system is much more down to earth: It's a robotic system that uses AI to analyze the soil, determine what is growing in it, and eliminate it if required. It's part of a concept called Spot Farming, where each spot in a field is handled individually, rather than treating the entire field as a whole. The whole process is overseen by robots and AI that monitors each individual plant and feeds, waters, and harvests the crop. In the U.S., a company called Carbon Robotics is selling a similar device called the LaserWeeder that uses AI to detect weeds, then zaps them with a laser. IDENTIFY PESTS Not sure if that thing crawling on your crops is good or bad? InsectID from Iowa State University can help: Take a picture, upload it, and InsectID uses AI to identify the insect, provide information on the role of the insect, and give pointers on how to handle it if you want it out of your crops. LOW-COST SOIL ANALYSIS Farmspace Technologies is a Nigerian company that is developing a low-cost soil sensor called ActionLab that uses AI to help small farms understand how to use fertilizers more effectively and which crops to grow.

Fast Company

Tue, 26 Nov, 2:26 PM UTC

Fermata uses computer vision to detect diseases and pests in plants | TechCrunch

When Valeria Kogan started her Ph.D. program in bioinformatics, the scientific field that uses computation and software to analyze biological data, in 2017, she imagined her career would always be within the fields of mathematics, medicine, or biology. But after the first AI boom in the late 2010s, she got an intriguing opportunity in a sector she hadn't considered: agriculture. Kogan (pictured above in the middle) told TechCrunch that when she was approached by a friend of a friend, a tomato grower looking for someone who understood AI and could help apply the tech to agriculture, she was intrigued. When she heard that they were looking to use AI to monitor plant health, she realized a lot of her bioinformatic background was transferrable. "When they started sharing with me the challenges they had, plants have health and their health is important, and how they monitor the health of plants, it was clear that technically the challenge is very similar," Kogan said. "You want to see and make the diagnosis as fast as you can." She decided to launch Fermata in 2020. The Tel Aviv- based startup uses computer vision and AI to monitor and diagnose greenhouse crops with diseases or pests. Fermata's software works with any off-the-shelf camera and takes pictures of a greenhouse's crops twice a day. Its inhouse AI model analyzes the pictures and sends alerts of infestation or disease to farmers through an app. Kogan acknowledged that companies looking to bring AI to farms have struggled to gain meaningful traction in the past. While she doesn't think her company has garnered meaningful market share just yet, she thinks Fermata's approach has allowed the team to gain traction for a few reasons. For one, she said, they approached the market with genuine curiosity, looking to find out what greenhouse farms needed, as opposed to trying to sell them tech they didn't want. "The original idea that I had was let's build the robots that will be moving through the greenhouse, and we even built the first project," Kogan said. "We did the first mistake, we built things before talking to anybody, and it still sits in my dad's garage. When we started talking to people, it was very clear that no one needs that, the robot is a bad idea." She added that their approach to training their AI model has likely also helped them stand out. Since the beginning, Fermata has kept its data labeling team in-house, as opposed to outsourcing it, which Kogan attributes the company's accuracy to. When they started, they used publicly-available data, but now they train their models on their customers' data and have a research and development center where they infect plants with different diseases too. "We love customers who have a lot of problems because it brings us a lot of data, especially if they have some deadly diseases," Kogan said, followed by a laugh. "We're like, okay, let's look serious on the call, and that we're worried because that is bad news for them but for us it's amazing news." When Fermata launched, Kogan said they thought it would make sense to partner with companies that were already selling to farms. That approach didn't garner a lot of call backs when Fermata started it in 2020, but when AI started gaining momentum in 2022 that changed. Now, Fermata works directly with farms but also partners with large agriculture enterprises like Bayer and Syngenta. The company declined to share growth metrics but has deployed more than 100 cameras. Fermata also recently raised a $10 million Series A round. The $10 million came entirely from Raw Ventures, a European VC. The firm was an existing investor and Kogan said when they set out to raise this current round, they didn't feel the need to dilute the cap table with more investors. The round will be used to help the company scale and to reach its goal of being profitable by 2026. Kogan said that they've been able to grow thus far without a sales team, and largely from inbound interest, but are looking to bulk up their sales team. Fermata currently just works with greenhouse-grown tomatoes but is actively working toward expanding into new crops and growing its partnerships.

TechCrunch

Tue, 7 Jan, 7:15 PM UTC

AI-powered smart farming system optimizes plant growth at home

Daedong's AI Plant Box brings smart farming to the home, using AI automation and plant monitoring to optimize growth conditions. Smart farming, also known as precision agriculture, leverages advanced technologies like AI, robotics, and IoT to optimize agricultural practices. The approach addresses key challenges such as labor shortages, sustainability, and efficiency, enabling farmers to produce higher yields with fewer resources, aiming to transform traditional agriculture into a more innovative and resilient industry. South Korea-based farm machinery company Daedong has taken up an innovative approach to precision agriculture, AI, and robotics, and is presently operating in more than 70 countries.

Interesting Engineering

Thu, 9 Jan, 12:17 AM UTC

AI-Powered Platform Transforms Traditional Farming with Smart Analytics

The advanced new platform has also met the modern demands of agriculture, making mobile access possible as nearly two-thirds of the farmers use the application on a mobile device daily. This system boasts an interface so powerful that most of its requests take less than 200 milliseconds to respond to. This seamless mobile integration ensures that farmers can have immediate access to data on vital crop-critical crop information, weather alerts, and real-time insights from the field, tractor, or sitting at home. Such mobility transforms traditional farming, putting powerful analytical tools into farmers' pockets, thus facilitating informed decision-making while at work or anywhere. With remarkable environmental benefits achieved across multiple fronts, this pioneering new platform revolutionizes sustainable agriculture. This technology through its smart management of resources saves 2.5 million gallons of groundwater yearly for each farm that employs it; the system enriched the quality of soils through an enhanced content of 15% of organic matter in soil. Most notably, there has been a biodiversity that the platform has encouraged, with pollinator activity increasing by 22%, and their microorganism diversity in soils has increased by 25%. All of these can be considered as how digital innovation can balance agricultural production with environmental conservation. In conclusion, Rohit Sharma highlights that the platform exemplifies how data-driven agriculture can successfully balance productivity gains with environmental stewardship. This innovation underscores the potential of technology as a powerful tool in addressing global agricultural challenges while advancing sustainable and efficient farming practices worldwide. This innovative platform represents a significant step forward in agricultural technology, combining the power of AI and IoT to create a more sustainable and productive farming future. With its proven results and ambitious development roadmap, it stands as a testament to how technology can transform traditional farming practices while promoting environmental stewardship.

Analytics Insight

Wed, 15 Jan, 6:16 PM UTC

Similar products

AI Experts

AI Experts is a leading AI agency focused on integrating artificial intelligence into digital marketing to enhance business operations and growth.

Contact for Pricing

AIclearing

AI Clearing offers AI-powered construction progress monitoring for comprehensive digital field tracking, aiming to lower re-work costs and mitigate litigation risks.

Contact for Pricing

Jungle AI

Jungle AI leverages state-of-the-art artificial intelligence to enhance machinery performance by predicting failures and optimizing operations.

Contact for Pricing

AI Marketing by Martekings

Explore Martekings' forefront approach to AI in marketing, featuring innovative strategies and cutting-edge tools for transformative success.

Contact for Pricing

CopperKey

Harness generative AI for effective marketing and boost your efficiency with customized techstack solutions.

Contact for Pricing

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

The Outpost

Top stories

News

About