Observe. Assess. Manage.


Observe, assess and manage every plant’s health and performance continuously throughout the season. Bloomfield’s precise and accurate plant-level health and performance insights support management decision-making as well as harvest and post harvest planning.

Deep Learning and Computer Vision

Continuous AI-driven assessment digitizes the health and performance of every plant, and everything on it, from seed to harvest. Bloomfield’s computer vision and deep learning train to “look”, pixel-by-pixel, at each image of every plant. All plant phenotypes become a data point that is analyzed to deliver specific plant-by-plant health and performance assessments for precise, accurate and efficient crop management.

Bloomfield’s FLASH camera collects high quality images in any agricultural environment from ground-level.

Traveling on any vehicle FLASH’s stereo camera and active lighting images the entire plant for precise assessments of key plant features throughout the season. Analysis of berries, clusters, shoots, leaves, trunks, buds, cordons or canes results in a health and performance assessment of every feature on every plant at any time.

Year-Round Assessment Service

Bloomfield’s health and performance assessment regime produces analyses throughout the season to inform decision making and planning. The assessment regime and analysis types are based on the plant growth stage and will vary depending on crop, location, variety, temperature and precipitation.


Crop: Wine Grapes    |    Variety: Chardonnay    |    Region: Napa

February

Season Stage:  Dormant
Phenotype: Trunks, Nodes
Analysis: Stand Count, Node Count

March

Season Stage: Bud Break
Phenotype: Buds, Shoots
Analysis: Count, Length

April

Season Stage: Pre-Bloom
Phenotype: Shoots, Leaves
Analysis: Count, Length, Density

May

Season Stage: Bloom
Phenotype: Inflorescence, Shoots
Analysis: Cluster Counts, Shoot Counts

June

Season Stage: Post-Fruitset
Phenotype: Clusters, Leaves
Analysis:  Count, Canopy Density

July

Season Stage: Lag Phase
Phenotype: Berries, Clusters
Analysis: Visible Cluster Count

August

Season Stage: Veraison
Phenotype: Berries, Clusters
Analysis: Color Grading, Cluster Count

September

Season Stage:  Harvest
Phenotype: Berries, Clusters
Analysis: Cluster Count

October

Season Stage: Harvest
Phenotype: Berries, Clusters
Analysis: Cluster Count

November

Season Stage: Dormant
Phenotype: Trunks, Nodes
Analysis: Stand Count, Node Count

December

Season Stage:  Dormant
Phenotype: Trunks, Nodes
Analysis: Stand Count, Node Count

January

Season Stage:  Dormant
Phenotype: Trunks, Nodes
Analysis: Stand Count, Node Count