Plant Phenotyping

Plant Phenotyping Market Outlook

The global plant phenotyping market is projected to reach approximately USD 1.3 billion by 2025, with a compound annual growth rate (CAGR) of around 9.5% from 2023 to 2030. This growth is primarily driven by the increasing need for advanced agricultural practices, particularly in the context of climate change and rising global food demand. As farmers and researchers alike strive to enhance crop productivity, plant phenotyping technologies provide critical insights into plant health, growth patterns, and genetic traits. Additionally, the integration of sophisticated imaging systems and sensor technologies has revolutionized the way phenotyping is conducted, allowing for more precise and efficient data collection. The rising adoption of precision agriculture methodologies is also contributing significantly to the expansion of the market.

Growth Factor of the Market

The plant phenotyping market is experiencing robust growth owing to several key factors. First, the global push towards sustainable agricultural practices has catalyzed the adoption of advanced phenotyping technologies that can enhance efficiency and productivity. Moreover, the demand for high-yielding crop varieties necessitates precise phenotyping capabilities to evaluate plant responses to various environmental conditions. Furthermore, ongoing advancements in imaging and sensor technologies have made it increasingly feasible for agricultural scientists and researchers to obtain real-time data, significantly improving the decision-making process in crop management. The increasing focus on food security and the need for climate-resilient crops have further fueled investment in plant phenotyping technologies across various sectors. Additionally, collaborations between academic institutions and agricultural companies are set to enhance research and development activities, thereby driving market growth.

Key Highlights of the Market

• Projected market value of USD 1.3 billion by 2025, growing at a CAGR of 9.5%.
• Increased adoption of precision agriculture techniques.
• Rising demand for high-yield crop varieties to meet food security challenges.
• Advancements in imaging and sensor technologies revolutionizing data collection.
• Collaborative research initiatives between academia and industry bolstering innovation.

By Equipment Type

Imaging Systems:

Imaging systems are vital components in the plant phenotyping market, as they provide detailed visual data on plant growth and development. These systems use various imaging techniques such as multispectral, hyperspectral, and thermal imaging, allowing researchers to assess physiological parameters that influence plant health. By capturing images from different wavelengths, imaging systems can detect stress responses, nutrient deficiencies, and other critical factors affecting plant growth. The data produced from these systems can lead to better insights into crop performance, enabling targeted interventions that optimize yield potential. As technology progresses, imaging systems are becoming more sophisticated, integrating artificial intelligence and machine learning capabilities to analyze large datasets efficiently.

Sensor-Based Systems:

Sensor-based systems play an integral role in plant phenotyping by providing real-time monitoring of environmental and plant physiological parameters. These systems can measure variables such as soil moisture, temperature, humidity, and light levels, which are crucial for understanding plant responses to environmental changes. The data collected by sensor-based systems can reveal insights into the microclimate around plants and help identify optimal conditions for growth. Moreover, the use of IoT (Internet of Things) technologies in conjunction with sensor systems enables remote monitoring and data analysis, facilitating timely decision-making for farmers and researchers. The increasing affordability of these sensors and their ease of deployment are further encouraging their adoption in the field of plant phenotyping.

Drones:

Drones have emerged as a transformative tool in the plant phenotyping market, offering a unique aerial perspective that enhances data collection. Equipped with high-resolution cameras and various sensors, drones can cover large agricultural areas quickly and efficiently, providing comprehensive data on plant health and growth. They allow for the assessment of crop conditions from different altitudes and angles, which can uncover issues that are not easily visible from the ground. Drones also facilitate the monitoring of crop development over time, enabling precise evaluations of phenotypic traits. As drone technology continues to evolve, the integration of machine learning algorithms for data analysis will further improve their utility in plant phenotyping applications.

Handheld Devices:

Handheld devices are becoming increasingly popular in plant phenotyping due to their portability and user-friendly interfaces. These devices enable researchers and agricultural practitioners to collect on-site data regarding plant health and growth metrics efficiently. Handheld spectrometers, for instance, can provide insights into plant biochemical compositions, while handheld imaging devices can capture detailed images for further analysis. The ease of use and immediate accessibility of data allow for quicker decision-making in field conditions. Additionally, advancements in wireless technology enable seamless data transfer from handheld devices to cloud-based platforms, enhancing data management and analytics capabilities. As a result, handheld devices are becoming indispensable tools for plant phenotyping across various agricultural sectors.

Automated Systems:

Automated systems represent the future of plant phenotyping by streamlining the data collection and analysis processes. These systems utilize robotics and automation technology to perform tasks such as planting, watering, and monitoring plant growth without the need for human intervention. By reducing human error and increasing efficiency, automated systems can significantly enhance the accuracy of phenotyping experiments. Moreover, these systems can operate continuously, allowing for the collection of vast amounts of data over extended periods. The integration of artificial intelligence and machine learning algorithms in automated systems also facilitates advanced data analytics, enabling researchers to derive insights that may not have been previously identifiable. As automation becomes more entrenched in agriculture, the role of these systems in plant phenotyping is set to increase dramatically.

By Application

Plant Research:

Plant research is a critical application area for plant phenotyping technologies, as it drives advancements in crop science and genetics. Researchers utilize phenotyping tools to investigate plant responses to various environmental factors, genetic modifications, and breeding strategies. By examining phenotypic traits, scientists can identify key characteristics that contribute to resilience against pests, diseases, and climate changes. This research is essential for developing new crop varieties that can withstand adverse conditions while maintaining high productivity. The insights gained from plant research ultimately inform agricultural practices and policies aimed at improving food security and sustainability.

Crop Management:

Crop management is another vital application of plant phenotyping, facilitating enhanced monitoring and decision-making throughout the growing season. Phenotyping technologies enable farmers to assess plant health in real-time, allowing for timely interventions such as irrigation, fertilization, or pest control. By leveraging phenotypic data, farmers can optimize resource allocation, reduce waste, and ultimately increase crop yields. Additionally, crop management applications benefit from predictive analytics, which use historical data to forecast future crop performance under varying conditions. The ability to make data-driven decisions is profoundly transforming traditional farming practices, making them more efficient and sustainable.

Breeding:

In the breeding application, plant phenotyping technologies are critical for accelerating the development of new crop varieties. By precisely measuring phenotypic traits, breeders can make informed decisions when selecting parent plants for hybridization. This process enhances the probability of producing plant varieties with desirable traits such as improved yield, disease resistance, and nutritional quality. Advanced phenotyping techniques also allow for the identification of traits linked to specific genetic markers, thereby expediting the breeding process. As the demand for improved crop varieties continues to grow, the role of plant phenotyping in breeding is becoming increasingly essential, fostering innovation in agro-biotechnology.

Yield Prediction:

Yield prediction is an essential application of plant phenotyping technologies, providing critical insights for both farmers and agricultural stakeholders. By analyzing phenotypic data, researchers can develop predictive models that estimate crop yields based on various parameters, including environmental conditions, plant health, and genetics. These models help farmers make informed decisions regarding resource allocation, harvesting times, and market strategies. Yield prediction is also vital for policy-making and food supply chain management, as it enables governments and organizations to anticipate food availability and prevent shortages. As predictive analytics continue to evolve, their integration with plant phenotyping will further enhance the accuracy and reliability of yield forecasts.

By Plant Type

Crops:

Crops are a primary focus within the plant phenotyping market, as they constitute the backbone of global food production. This segment encompasses various cultivated plants, including cereals, vegetables, and fruits, which are essential for human consumption and economic sustenance. The application of phenotyping technologies to crops allows for the assessment of growth patterns, stress responses, and overall health, which are crucial for optimizing agricultural practices. By employing advanced phenotyping methods, researchers can identify crop varieties that are not only high-yielding but also resilient to environmental stressors such as drought and salinity. Consequently, this segment plays a significant role in addressing food security challenges while promoting sustainable agricultural practices.

Trees:

The phenotyping of trees is critical for forestry applications and ecosystem management. This segment includes various tree species utilized for timber production, reforestation, and biodiversity conservation. Phenotyping technologies enable forestry researchers to assess tree growth rates, health conditions, and responses to environmental changes, fostering better management practices. By understanding the phenotypic traits of trees, forestry professionals can make informed decisions regarding species selection for reforestation projects and optimize timber production. Moreover, the integration of phenotyping in forestry enhances the ability to monitor the impacts of climate change on tree species and develop strategies to mitigate adverse effects.

Flowers:

Flowering plants represent a unique segment within the plant phenotyping market, particularly in horticulture and ornamental gardening. Phenotyping technologies are employed to evaluate traits such as bloom size, color, and disease resistance in various flower species. This data is invaluable for breeders looking to develop new ornamental varieties with specific aesthetic qualities and resilience. The ability to assess phenotypic traits in flowers contributes to improved breeding programs and can enhance market competitiveness. Furthermore, as consumer preferences for ornamental plants evolve, the role of phenotyping in flower cultivation is becoming increasingly important to meet market demands.

Grasses:

The phenotyping of grasses is significant for various applications, including turf management, landscaping, and forage production for livestock. This segment focuses on measuring traits such as growth rate, drought tolerance, and pest resistance in different grass species. By utilizing phenotyping technologies, researchers can develop grass varieties that are better suited for specific environmental conditions, improving their performance and sustainability. In turf management, phenotyping can enhance the aesthetic and functional qualities of grass used in lawns, sports fields, and golf courses. As the demand for sustainable landscaping and forage solutions increases, the phenotyping of grasses will continue to gain prominence.

Shrubs:

Shrubs play a crucial role in landscaping, horticulture, and environmental restoration. The phenotyping of shrubs enables researchers and landscapers to assess vital traits such as growth patterns, flower production, and drought resistance. By employing phenotyping technologies, professionals can develop shrub varieties that are not only visually appealing but also adaptable to various climatic conditions. This segment of the market is essential for enhancing biodiversity and improving the ecological value of urban and rural landscapes. As trends towards ecological landscaping and sustainable practices gain traction, the significance of phenotyping in shrub cultivation will undoubtedly increase.

By User

Research Institutes:

Research institutes are significant end-users of plant phenotyping technologies, as they conduct essential studies in crop science, genetics, and environmental adaptability. These institutions leverage phenotyping tools to enhance their understanding of plant responses to various stimuli and to drive innovations in agriculture. With access to advanced technologies, research institutes can conduct large-scale experiments that yield actionable insights for the agricultural sector. Collaborative research initiatives with agricultural companies further enhance the applicability of findings, fostering a robust knowledge exchange that benefits both academia and industry. As agricultural challenges evolve, research institutes will continue to play a pivotal role in advancing plant phenotyping methodologies.

Agricultural Companies:

Agricultural companies are major players in the plant phenotyping market, utilizing these technologies to enhance their product offerings and improve market competitiveness. By investing in phenotyping capabilities, these companies can develop high-yielding crop varieties and optimize agronomic practices. The data generated from phenotyping can inform breeding programs, pest management strategies, and soil health assessments, leading to improved agricultural outputs. Additionally, the integration of phenotyping technologies into commercial practices helps agricultural companies address emerging challenges such as climate variability and pest outbreaks. As they seek to maximize productivity while adhering to sustainability goals, the role of agricultural companies in the plant phenotyping market is becoming increasingly prominent.

Government Organizations:

Government organizations are crucial stakeholders in the plant phenotyping market, as they often oversee agricultural policies, research funding, and food security initiatives. By supporting plant phenotyping research, these organizations can enhance national agricultural productivity and ensure food supply stability. Government-funded projects that focus on the development and dissemination of advanced phenotyping technologies can drive innovation and promote sustainable practices among farmers. Furthermore, government organizations are instrumental in creating frameworks that facilitate collaboration between research institutions and agricultural companies, fostering knowledge transfer and technology adoption. As global food demands rise, the emphasis on plant phenotyping within government agendas will likely intensify, supporting advancements in agricultural research and development.

Contract Research Organizations:

Contract research organizations (CROs) serve as important facilitators in the plant phenotyping market, often providing specialized services to agricultural companies and research institutes. These organizations typically conduct phenotyping studies on behalf of clients, enabling them to access advanced technologies without the need for significant capital investment. CROs offer expertise in experimental design, data analysis, and reporting, streamlining the phenotyping process for their clients. By collaborating with CROs, agricultural companies can expedite the development of new crop varieties and gain insights into plant behavior under varying conditions. As the demand for efficient and effective research services grows, the role of CROs in the plant phenotyping market will continue to expand.

By Region

Regionally, the plant phenotyping market demonstrates varied dynamics and growth rates. North America holds a substantial share of the market, estimated at around USD 480 million in 2023, primarily due to advanced agricultural practices and significant investment in research and development. The presence of major agricultural companies and research institutions in the region further accelerates innovation and technology adoption. Following North America, Europe accounts for approximately USD 350 million of the market, propelled by a strong focus on sustainable agricultural practices and government initiatives promoting precision agriculture. The European market is projected to grow at a CAGR of 8.5% from 2023 to 2030, underscoring the increasing recognition of phenotyping technologies in enhancing crop productivity and resilience.

Meanwhile, the Asia Pacific region is witnessing rapid growth in the plant phenotyping market, with an estimated value of USD 300 million in 2023. This growth is primarily attributed to the increasing population and rising food demand, leading to heightened adoption of advanced agricultural technologies. Countries such as China and India are particularly driving this trend, as they invest in modern farming techniques and research initiatives to improve crop yields. Latin America and the Middle East & Africa follow, with market sizes of approximately USD 100 million and USD 70 million, respectively. As these regions continue to recognize the importance of plant phenotyping in addressing agricultural challenges, a gradual increase in market penetration is expected.

Opportunities

The plant phenotyping market presents numerous opportunities for growth, particularly in the realm of technological advancements. As the demand for precision agriculture continues to rise, there is a significant opportunity for the development of integrated systems that combine various phenotyping technologies, such as imaging and sensor-based solutions. The convergence of these technologies can lead to more comprehensive data collection and analysis, enabling farmers to make informed decisions that optimize crop performance. Furthermore, the integration of artificial intelligence and machine learning into phenotyping processes provides the potential for enhanced predictive analytics, facilitating better yield forecasting and resource management. Companies that focus on innovating and integrating these technologies will likely gain a competitive edge in the market.

Additionally, the growing awareness of sustainable agricultural practices is creating opportunities for companies that specialize in plant phenotyping. As consumers become more conscious of the environmental impacts of their food choices, there is an increasing demand for crops that are resilient to climate change and require fewer inputs such as water and fertilizers. By leveraging phenotyping technologies, agricultural companies can develop varieties that meet these sustainability criteria, thus addressing consumer preferences while ensuring food security. Collaboration between research institutions, agricultural companies, and governments can further facilitate the development and deployment of phenotyping technologies, fostering an environment conducive to innovation and scalability.

Threats

Despite the promising outlook for the plant phenotyping market, several threats could hinder its growth. One of the primary concerns is the high initial investment required for advanced phenotyping technologies, which may deter smaller agricultural businesses and research institutions from adopting these innovations. The complexity of integrating new technologies into existing agricultural practices can also present challenges, particularly for those who are less technologically adept. Additionally, the rapid evolution of technology can lead to market saturation, where companies struggle to differentiate their products and maintain a competitive edge. As the market becomes increasingly crowded, sustaining innovation and providing value-added services will be essential for companies to thrive.

Moreover, external factors such as regulatory changes and fluctuating market conditions can pose risks to the plant phenotyping market. Stringent regulations governing agricultural practices and technology usage may limit the adoption of phenotyping technologies in certain regions. Furthermore, economic downturns or shifts in consumer preferences can impact investment in agricultural research and development, affecting the overall growth of the market. Companies must remain agile and adapt to changing conditions to mitigate these threats and continue to capitalize on opportunities for growth.

Competitor Outlook

• PhenoGeno
• KeyGene
• Phenome Networks
• PlantScreen
• Agri-Tech East
• CropQuant
• Syngenta
• BASF
• University of Illinois
• GREAT (Germplasm Resources for Agricultural Training)
• AgriSci
• Vanderbilt University
• Fertilizer Canada
• Ginkgo BioWorks
• Plant Health Care

The competitive landscape of the plant phenotyping market is characterized by a diverse range of players, including research institutions, agricultural companies, and technology providers. With advancements in imaging, sensor technologies, and data analytics, companies are consistently innovating to enhance their product offerings. The collaboration between academia and industry is particularly prominent, as research institutions partner with agricultural companies to leverage cutting-edge technologies in practical applications. This collaborative approach fosters a dynamic environment conducive to knowledge transfer and the development of new solutions tailored to specific agricultural challenges.

Leading companies such as Syngenta and BASF are investing heavily in research and development to create innovative phenotyping technologies that cater to the evolving needs of the agricultural sector. These companies leverage their extensive resources to drive advancements in crop genetics, enabling the development of varieties that are resilient to environmental stressors. Moreover, the presence of specialized firms like PhenoGeno and Phenome Networks highlights the growing focus on precision agriculture and tailored phenotyping solutions. By concentrating on specific market segments, these companies optimize their offerings to meet the demands of researchers and agricultural practitioners alike.

In addition, emerging players such as CropQuant and Agri-Tech East are gaining traction by offering unique phenotyping solutions that address niche market needs. Their agility and innovative approaches allow them to respond quickly to market trends, capturing the interest of clients seeking cutting-edge technologies. As the demand for plant phenotyping increases, both established firms and new entrants will continue to compete for market share, driving advancements that benefit the agricultural sector as a whole. The future of the plant phenotyping market is bright, with opportunities for collaboration, innovation, and growth across various segments.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 BASF
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 AgriSci
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 KeyGene
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Syngenta
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 CropQuant
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 PhenoGeno
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 PlantScreen
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Agri-Tech East
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Ginkgo BioWorks
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Phenome Networks
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Fertilizer Canada
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Plant Health Care
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Vanderbilt University
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 University of Illinois
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 GREAT (Germplasm Resources for Agricultural Training)
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Plant Phenotyping Market, By User
    • 6.1.1 Research Institutes
    • 6.1.2 Agricultural Companies
    • 6.1.3 Government Organizations
    • 6.1.4 Contract Research Organizations
  • 6.2 Plant Phenotyping Market, By Plant Type
    • 6.2.1 Crops
    • 6.2.2 Trees
    • 6.2.3 Flowers
    • 6.2.4 Grasses
    • 6.2.5 Shrubs
  • 6.3 Plant Phenotyping Market, By Application
    • 6.3.1 Plant Research
    • 6.3.2 Crop Management
    • 6.3.3 Breeding
    • 6.3.4 Yield Prediction
  • 6.4 Plant Phenotyping Market, By Equipment Type
    • 6.4.1 Imaging Systems
    • 6.4.2 Sensor-Based Systems
    • 6.4.3 Drones
    • 6.4.4 Handheld Devices
    • 6.4.5 Automated Systems

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Plant Phenotyping Market by Region
  • 10.6 Middle East & Africa - Market Analysis
    • 10.6.1 By Country
      • 10.6.1.1 Middle East
      • 10.6.1.2 Africa

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Plant Phenotyping market is categorized based on

By Equipment Type

• Imaging Systems
• Sensor-Based Systems
• Drones
• Handheld Devices
• Automated Systems

By Application

• Plant Research
• Crop Management
• Breeding
• Yield Prediction

By Plant Type

• Crops
• Trees
• Flowers
• Grasses
• Shrubs

By User

• Research Institutes
• Agricultural Companies
• Government Organizations
• Contract Research Organizations

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• PhenoGeno
• KeyGene
• Phenome Networks
• PlantScreen
• Agri-Tech East
• CropQuant
• Syngenta
• BASF
• University of Illinois
• GREAT (Germplasm Resources for Agricultural Training)
• AgriSci
• Vanderbilt University
• Fertilizer Canada
• Ginkgo BioWorks
• Plant Health Care