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Computer Vision Technology Market for Agriculture Global Analysis 2023-2033: Fostering Digital Agriculture through Global Government Initiatives

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DUBLIN, Feb. 29, 2024 /PRNewswire/ — The “Computer Vision Technology Market for Agriculture: A Global and Regional Analysis, 2023-2033” report has been added to  ResearchAndMarkets.com’s offering.

The computer vision technology market for agriculture was valued at $432.0 million in 2023, and it is expected to grow at a CAGR of 16.78% and reach $2,037.5 million by 2033. The computer vision technology market for agriculture is currently in a dynamic growth phase, marked by rapid advancements and heightened adoption. The market exhibits a degree of fragmentation, with diverse players contributing to specialized applications within the agriculture sector.

Key companies such as Climate LLC, Granular, IBM Corporation, Ceres Imaging, and Deere & Company hold notable market shares, indicating a mix of technology-focused startups and established giants collectively shaping the landscape of computer vision solutions in agriculture. As the market matures, consolidation trends may emerge, influencing the competitive dynamics and further fueling the integration of computer vision technologies into modern farming practices. As of 2022, significant players held around 30% of market shares in the computer vision technology market for agriculture. These percentages underscore the influence of these companies in driving innovation and technology adoption in the agricultural sector, reflecting the evolving landscape of precision farming and broader application of computer vision solutions.

The market is characterized by entities offering innovative solutions designed for the following applications such as biotic stress monitoring, harvest dynamic monitoring, autonomous equipment control, and abiotic stress monitoring in agriculture, with a focus on interpreting and extracting valuable insights from visual data captured through various imaging devices. The products offered by the players in the market have been segmented into data processing and analytics and operational integration and automation.

During the forecast period 2023-2033, the computer vision technology market for agriculture is set to undergo substantial evolution and expansion. Persistent advancements in computer vision technologies will drive the development of more sophisticated and cost-effective solutions for analyzing agricultural data. With an increased emphasis on sustainability and adherence to circular economy principles, governments, industries, and consumers will prioritize the integration of computer vision for optimizing farming practices.

A surge in investments directed toward startups specializing in computer vision for agriculture and dedicated research and development initiatives can be expected. This era presents a golden opportunity for the computer vision technology market for agriculture to mature and firmly establish itself as an indispensable component of the sustainable farming landscape. Companies that swiftly embrace technological advancements and foster effective collaborations are poised for significant growth and a leading position in this transformative market.

Market Segmentation

Biotic Stress Monitoring to Dominate the Computer Vision Technology Market for Agriculture (by Application)

Biotic stress monitoring, encompassing disease, pest, and weed detection, stands as a cornerstone in contemporary agriculture, utilizing cameras to capture various growth stages and enhance production efficiency. This approach empowers farmers to swiftly identify subtle abnormalities in crop development caused by factors such as malnutrition, disease, or pest infestation. The integration of advanced computer vision applications, such as Taranis and Blue River Technology, has become integral to modern farming practices. These technologies analyze vast fields with high-resolution imagery and artificial intelligence algorithms, providing real-time insights. This capability enables farmers to make informed decisions, proactively manage issues such as pest infestations, and optimize resource allocation for improved crop health and productivity, ensuring a more sustainable and efficient future for agriculture.

Biotic stress monitoring through computer vision allows providers to swiftly detect and identify plant diseases or pest infestations. This proactive approach enables timely intervention, minimizes crop damage, and increases agricultural productivity. By leveraging real-time data and image analysis, computer vision providers can offer farmers precise and targeted solutions, optimizing resource utilization and contributing to sustainable farming practices. Overall, biotic stress monitoring enhances efficiency and resilience in agriculture.

Data Processing and Analytics to Dominate the Computer Vision Technology Market for Agriculture (by Product)

The data processing and analytics segment in the computer vision technology market for agriculture is rapidly growing and plays a crucial role in modern farming practices. A report on the “Environmental Benefits of Precision Agriculture in the U.S.” highlights that adopting precision agriculture technologies has resulted in avoiding the application of an estimated 30 million pounds of herbicide. Furthermore, there is potential to avoid an additional 48 million pounds of herbicide with broader adoption of precision agriculture. This underscores the importance of raising awareness about the adoption of advanced technologies such as computer vision in agriculture. Such technologies assist farms in identifying and controlling weed growth at an early stage, preventing the unnecessary overuse of herbicides. This not only benefits the environment but also contributes to more efficient and sustainable farming practices.

Data processing and analytics empower computer vision providers by enhancing the accuracy and efficiency of image recognition algorithms. Through the analysis of vast datasets, these providers can refine their models, improving object detection and classification. Real-time processing enables quicker decision-making in applications such as autonomous vehicles and surveillance. Overall, data-driven insights contribute to the continual advancement and optimization of computer vision systems.

In recent years, the use of computer vision technology in agriculture has grown significantly worldwide, with North America leading the way in its adoption. Precision agriculture initiatives, such as automated crop monitoring and yield prediction, have propelled the region to the forefront, reflecting a progressive approach to enhance agricultural efficiency. For example, in 2020, the University of California, Davis, utilized drones equipped with computer vision for a study. It gathered data on crop health and growth, revealing the technology’s ability to detect early signs of disease and pests. This breakthrough resulted in reduced pesticide use and increased crop yields. The integration of automated drone surveillance and AI-driven image analysis tools on farms underscores North America’s dedication to leveraging advanced technologies for enhanced crop management.

The swift adoption of precision agriculture is also driving the growth of the computer vision technology market for agriculture in North American countries. The integration of AI and computer vision in precision farming is proving to be highly beneficial by optimizing planting, irrigation, and fertilization based on real-time data and can bring about significant input cost savings. According to a report from the Precision Agriculture Development Trust published in 2022, precision farming has the potential to boost crop yields by up to 30%, highlighting the substantial positive impact of technology on modern agriculture practices.

Demand – Drivers, Challenges, and Opportunities

Market Drivers: Advancement of Deep Learning Techniques

Deep learning (DL), a pivotal aspect of artificial intelligence, harnesses artificial neural networks (ANNs) to glean insights from vast datasets and execute diverse tasks. Particularly impactful in computer vision (CV), which pertains to the interpretation and processing of visual information, DL’s applications in agriculture are extensive.In this sector, it facilitates tasks such as crop monitoring, autonomous harvesting, weather analytics, animal health tracking, and plant disease diagnosis.For CV technology providers in agriculture, DL brings multifaceted advantages. It enhances model accuracy and complexity by assimilating insights from extensive data, reducing the risk and cost of crop failures through weather and soil condition analysis, and maximizing crop yield and quality by identifying diseases and optimizing harvesting.

Market Challenges: Navigating Data Ownership and Privacy Challenges

The integration of artificial intelligence (AI) and computer vision in farming and breeding relies heavily on processing data from remote sensors, UAVs, and satellites. While many farmers embrace digitalization, some hesitate to share data due to the lack of clear legal frameworks on issues such as ownership, privacy, cybersecurity, and liability. Some companies have unlawfully shared farm data, raising concerns about data privacy among farmers.The major stakeholders in agricultural data include farmers, agricultural technology providers, input companies, and governments. Computer vision adoption raises concerns about data exposure and identity disclosure to hackers. A survey by the American Farm Bureau Federation revealed that over 75% of farmers worry about data ownership and potential regulatory use, while 60% fear companies influencing market decisions using their agricultural data.

Market Opportunities: Fostering Digital Agriculture through Global Government Initiatives

Government initiatives to promote digital agriculture encompass public-private partnerships and the establishment of a supportive environment for companies, be they established or startups, to introduce computer vision-based products. Notably, the U.S. Department of Agriculture has launched diverse programs leveraging computer vision in agricultural facets such as production, food supply chain, sensor development, ecosystem management, and rural community support. Robotic solutions for tasks such as pollination, pesticide application, weeding, and harvesting are also promoted. The American Research Service collaborates with companies to integrate computer vision and AI in livestock monitoring, irrigation analysis, robotic harvesting, and drone-based crop health monitoring.In India, the state government of Karnataka entered a memorandum of understanding (MoU) with Microsoft in 2007, aiming to enhance agricultural productivity through innovative technologies, primarily computer vision. The Indian government further partnered with IBM to deploy the AI-based Watson Decision Platform for Agriculture, offering accurate weather forecasts and soil information to empower local farmers in making informed decisions on crop and water management. This trend is anticipated to proliferate globally, fostering increased opportunities in the IoT-driven agriculture industry.

Key Market Players and Competition Synopsis

Some of the prominent companies in this market are:

Climate LLCGranular Inc.IBM CorporationCeres ImagingDeere & CompanyProspera TechnologiesAgEagle Aerial Systems Inc (MicaSense)TaranisPrecisionHawk, Inc.GamayaPlantixDJIIteris, Inc.CropIn Technology SolutionsHIPHEN (SlantRange, Inc.)

Segmentation by Application

Biotic Stress MonitoringHarvest Dynamic MonitoringAutonomous Equipment ControlAbiotic Stress Monitoring

Segmentation by Product

Data Processing and AnalyticsOperational Integration and Automation

Segmentation by Region

North America: U.S. and CanadaEurope: France, Germany, Spain, Italy, Belgium, Bulgaria, Ukraine, U.K., and Rest-of-EuropeAsia-Pacific: China, India, Japan, Australia and Rest-of-Asia-PacificLatin America: Brazil and MexicoMiddle East and Africa: Turkey, South Africa, and Rest-of-Middle East and Africa

For more information about this report visit https://www.researchandmarkets.com/r/dvzznp

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Pillsbury Notice of Data Breach

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NEW YORK, July 18, 2026 /PRNewswire/ — Pillsbury Winthrop Shaw Pittman LLP (“Pillsbury”) was among many law firms targeted by sophisticated social engineering attempts in an incident last year. While the firm quickly detected and blocked the activity, an unauthorized actor was able to access some of the firm’s documents during a short window of time. Pillsbury notified any impacted clients last year and undertook a detailed process to review the accessed documents for personal information. Pillsbury then began notifying individuals whose personal information was affected. That process is now complete, and today, Pillsbury is publishing substitute notice as a final step.

For more information, please visit the substitute notice on our website at https://www.pillsburylaw.com/en/breach-notice.html

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SOURCE Pillsbury Winthrop Shaw Pittman LLP

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From Remote Racing to Embodied AI: Fibocom and Intedigo Bring 5G Bidirectional Data Transmission into Real-World Applications

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SHANGHAI, July 18, 2026 /PRNewswire/ — From July 17 to 20, Fibocom and Intedigo will jointly present a cross-regional, beyond-visual-line-of-sight (BVLOS) teleoperation demonstration at Booth H3-C408 during the World Artificial Intelligence Conference (WAIC) 2026. Visitors will be able to enter a remote driving cockpit and control a real race car located at HURA PARK in Jiading, Shanghai, steering, accelerating, and braking in real time while experiencing how 5G connectivity enables remote operation.

More than an immersive driving experience, the demonstration provides a live validation of 5G bidirectional data transmission for embodied AI teleoperation. The vehicle continuously sends live track video, vehicle status, and operating data to the remote cockpit, while control commands are transmitted back to the vehicle, creating a closed-loop teleoperation system. Stable, low-latency, and highly reliable connectivity is essential for high-dynamic maneuvers such as high-speed cornering, precision braking, and continuous lane changes.

Developed by Intedigo, the remote driving system connects a real race car with an immersive remote driving cockpit. It supports 1080p@60Hz video transmission, glass-to-glass (G2G) video latency of less than 80 ms, and control latency of less than 10 ms. The demanding racing environment magnifies differences in video continuity and control responsiveness, making communications performance directly perceptible, measurable, and verifiable.

At the joint demonstration, Fibocom’s FM160 5G module provides cellular connectivity for the system. Powered by the Qualcomm Snapdragon™ X62 5G Modem-RF System, the FM160 supports SA and NSA network architectures as well as 3GPP Release 16. On the downlink, it supports NR Carrier Aggregation (NR CA) with bandwidth of up to 120 MHz, delivering peak speeds of up to 3.5 Gbps in NSA mode and 2.5 Gbps in SA mode. On the uplink, it supports UL MIMO and delivers peak speeds of up to 900 Mbps in SA mode. These capabilities support the continuous transmission of HD video and vehicle status data, along with reliable delivery of control commands.

As embodied AI moves into factories, data centers, logistics operations, and industrial parks, robots are becoming increasingly capable of performing tasks autonomously. Yet complex environments, unexpected events, and edge cases still require Human-in-the-Loop (HITL) remote intervention to help ensure safe and reliable operation.

Daniel Liu, CEO of Intedigo, said:

“5G represents the pinnacle of human communications and the starting point of machine communications. In the past, communications connected people to people; in the future, they will connect people to robots and robots to robots. Remote racing is simply the easiest entry point for people to understand this concept. What we are truly validating is a communications system capable of supporting remote collaboration for embodied AI. HURA makes low-latency remote driving a tangible experience, while RoBOX extends this capability to robots and a broader range of intelligent terminals. Together with Fibocom, we hope to enable more machines to receive remote assistance whenever needed while remaining continuously connected and operating reliably.”

Simon Tao, VP of Wireless Solutions Business Group and General Manager of MBB BU at Fibocom, said:

“As embodied AI enters real-world industrial environments, reliable connectivity will become the foundation for telemetry feedback, remote control and operational management. Fibocom’s 5G solutions, represented by FM160, provide the cellular connectivity required for continuous on-site data transmission and reliable control command delivery. Fibocom will continue collaborating with ecosystem partners such as Intedigo to bring cellular connectivity to more robots, autonomous machines and mobile intelligent terminals, enabling embodied AI systems to stay continuously connected and respond reliably in real-world applications.”

From remote race cars to robots, unmanned equipment, and mobile intelligent terminals, 5G is evolving from connecting people to connecting machines. This joint demonstration makes the capabilities of 5G bidirectional data transmission directly perceptible, experiential, and verifiable, helping pave the way for embodied AI to scale across real-world applications.
 

About Fibocom

Fibocom, founded in 1999, is China’s first wireless communication module company listed on both the A-share and H-share markets (300638.SZ, 0638.HK). As a global leading provider of wireless communication modules and AI solutions, Fibocom leverages wireless communication and artificial intelligence as its core technologies to provide integrated hardware and software solutions that empower industry applications. These solutions accelerate the transformation from “Connect Everything” to “Intelligent Connectivity” across diverse industries.

Fibocom’s one-stop solutions encompass cellular communication, AI, automotive, and GNSS modules, as well as AI toolchains, supporting industry-side and mainstream large model integration, and providing AI Agent, global connectivity, and cloud services, driving the digital intelligence upgrades in industries such as robotics, consumer electronics, low-altitude economy, intelligent transportation, smart retail, and smart energy.

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SOURCE Fibocom Wireless Inc.

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DR. PHONE FIX ANNOUNCES SECOND TRANCHE CLOSING OF NON-BROKERED CONVERTIBLE DEBENTURE UNIT FINANCING

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/NOT FOR DISTRIBUTION TO U.S. NEWSWIRE SERVICES OR FOR DISSEMINATION IN THE UNITED STATES/

EDMONTON, AB, July 18, 2026 /CNW/ — Dr. Phone Fix Canada Corporation (“Dr. Phone Fix” or the “Company”) (TSXV: DPF) is pleased to announce that, further to its news release dated May 19, 2026 and June 24, 2026 (the “Prior News Releases”), it has closed the second tranche of its non-brokered private placement (the “Offering”) of convertible debenture units of the Company (each, a “Unit”). The Company issued 726 Units, at a price of $1,000 per Unit, for aggregate gross proceeds of $726,000. Each Unit is comprised of (i) one $1,000 principal amount unsecured convertible debenture of the Company (a “Convertible Debenture”) and (ii) 3,125 common share (“Common Share”) purchase warrants of the Company (each, a “Warrant”). Additional detail on the Offering, including terms of the Convertible Debentures and Warrants, is set out in the Prior News Releases.

In connection with the Offering, the Company paid a finder’s fee consisting of an aggregate cash fee of $50,820 and issued an aggregate of 317,625 common share purchase warrants of the Company (each, a “Finder’s Warrant”) to certain qualified arm’s length parties. Each Finder’s Warrant is exercisable to acquire one Common Share of the Company at an exercise price of $0.22 prior to the date that is 24 months from the date of issuance.

All securities issued pursuant to the Offering, including any Common Shares issuable upon conversion of the Convertible Debentures or exercise of the Warrants and Finder’s Warrants, are subject to a statutory hold period of four months and one day from the closing of the Offering, in accordance with applicable securities laws and TSX Venture Exchange (the “TSXV”) policies. 

The Offering remains subject to final acceptance of the TSXV.

This news release does not constitute an offer to sell or a solicitation of an offer to buy any of the securities described in this news release in the United States. Such securities have not been, and will not be, registered under the U.S. Securities Act, or any state securities laws, and, accordingly, may not be offered or sold within the United States, or to or for the account or benefit of persons in the United States or “U.S. Persons”, as such term is defined in Regulation S promulgated under the U.S. Securities Act, unless registered under the U.S. Securities Act and applicable state securities laws or pursuant to an exemption from such registration requirements.

About Dr. Phone Fix

Dr. Phone Fix is a national, award-winning, eco-friendly, and customer-centric leader in Canada’s cell phone and electronics repair and certified pre-owned device industry. Founded in 2019, the Company now operates 44 retail locations nationwide through a standardized and scalable operating platform designed to support consistent execution across multiple markets, delivering fast, reliable, and environmentally conscious repair services alongside a curated selection of certified pre-owned devices and premium accessories. Dr. Phone Fix maintains strong partnerships with OEMs and certified suppliers, ensuring consistently high-quality standards across its national footprint. With a focus on responsible device lifecycle management, customer service, and operational discipline, Dr. Phone Fix continues to set the benchmark for device care and resale in Canada.

www.docphonefix.com

NEITHER THE TSXV NOR ITS REGULATION SERVICES PROVIDER (AS THAT TERM IS DEFINED IN THE POLICIES OF THE TSXV) ACCEPTS RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS NEWS RELEASE.

Forward-Looking Information and Cautionary Statements

Certain information in this news release constitutes forward-looking statements under applicable securities laws. Any statements that are contained in this news release that are not statements of historical fact may be deemed to be forward-looking statements. Forward-looking statements are often identified by terms such as “may”, “should”, “anticipate”, “expect”, “potential”, “believe”, “intend” or the negative of these terms and similar expressions. Forward-looking statements in this news release include statements relating to: the final acceptance of the Offering by the TSXV; and the expected use of proceeds following the closing of the Offering. Forward-looking information in this news release is based on certain assumptions and expected future events, namely: the Company’s financial condition and development plans do not change as a result of unforeseen events; the TSXV will provide its final acceptance of the Offering; and the Company will be able to obtain the financing required in order to develop and continue its business and operations. These statements involve known and unknown risks, uncertainties and other factors, which may cause actual results, performance or achievements to differ materially from those expressed or implied by such statements, including but not limited to: the Company’s inability to obtain TSXV final acceptance for the Offering; the potential failure to complete the balance of the Offering or to raise the full anticipated gross proceeds; market conditions and investor demand for the Company’s securities; the Company’s inability to deploy the proceeds as currently intended; and general economic and market conditions. Readers are cautioned that the foregoing list is not exhaustive. Readers are further cautioned not to place undue reliance on forward-looking statements, as there can be no assurance that the plans, intentions or expectations upon which they are placed will occur. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. Forward-looking statements contained in this press release are expressly qualified by this cautionary statement and reflect the Company’s expectations as of the date hereof and are subject to change thereafter. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law.

 

SOURCE Dr. Phone Fix

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