The global plant phenotyping market is anticipated to grow at a considerable CAGR of 9.5% during the forecast period. Plant phenotyping is the science of the characterization of crops which has strong linkages with decision support in precision agriculture. According to Food and Agriculture Organization (FAO), the yield of key crops typically increases by about 1% per year, which is below the required rate of 1.5-2.2% improvement to meet increased global demand. Designing high-yielding varieties adapted to contrasting environmental conditions including those associated with climate change and new agricultural management systems is an urgent priority. The application of plant phenotyping in the field is under rapid development and visual technology is revolutionizing phenotyping. Visual technology is any technology that captures, analyzes, filters, displays, or distributes visual data. Visual data includes photos, videos, thermal images, X-rays, hyperspectral images, LiDAR, and so on. Advances in camera and sensor technology are now enabling faster and more reliable indoor phenotyping through a wide range of imaging sensors, including multi-angle, 2D, 3D, RGB, fluorescence, near-infrared (NIR), thermal infrared (TIR), and hyperspectral. These technologies are rapidly automating the phenotyping process, as they leverage computer vision, machine learning, or artificial intelligence thereby allowing breeders to get faster, more accurate phenotyping data to examine less-visible plant traits, such as leaf water content and photosynthetic efficiency.
Phenotyping expanded the scope of technology in agriculture with an increasing number of use cases in plant breeding, plant stress reduction, weed protection, and pesticide management. For Instance, in June 2021, Limagrain Field Seeds and Alteia announced a three-year partnership to accelerate the global deployment of artificial intelligence-based (AI) digital phenotyping for plant breeding and research programs. The Alteia Platform will support Limagrain’s worldwide breeding research projects, allowing it to speed up data collection and enable higher quality phenotyping. Limagrain will deploy these streamlined and automated analysis workflows, from season planning to trait analysis, on top of the Alteia platform. market coverage. In June 2022 Revol Greens, one of America’s greenhouse lettuce growers, collaborated with IUNU as its technology partner to deliver a fully integrated approach of artificial intelligence, digital solutions, and automation at scale to meet rising consumer demand for greenhouse-grown leafy greens.
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Market Coverage
- The market number available for – 2021-2029
- Base year- 2021
- Forecast period- 2023-2029
Segment Covered-
- By Product Type
- By Application
Regions Covered-
- North America
- Europe
- Asia-Pacific
- Rest of the World
Competitive Landscape– BASF SE, Keygene, and LemnaTec GmbH, among others.
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Plant Phenotyping Market Report by Segment
By Product Type
Equipment
- Automation Type
- Fully automated
- Semi-automated
- Manual
Analysis System Type
- Image Analysis Systems
- Multispectral Scientific Cameras
- Canopy Analysis Systems
- Fluorometers
- Others
Software
- Data Acquisition
- Image Analysis
- System Control
- Others
Sensors
- Image Sensors
- NDVI Sensors
- Temperature Sensors
- Others
By Application
- High-Throughput Screening
- Trait Identification
- Photosynthetic Performance
- Morphology And Growth Assessment
- Others
Plant Phenotyping Market Report Segment by Region
North America
- United States
- Canada
Europe
- UK
- Germany
- Spain
- France
- Italy
- Rest of Europe
Asia-Pacific
- India
- China
- Japan
- South Korea
- Rest of APAC
Rest of the World
- Latin America
- Middle East and Africa
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