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AgShift

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uuid0000fg9

Namestring
AgShift
Legal namestring
AgShift
Websiteurl
agshift.com
Company typeenum
Private
Founded yearint
2016
Descriptiontext

AgShift is a privately held AI food technology company founded in 2016 and headquartered in San Jose, California (with offices in Costa Mesa, New Mexico, Singapore, and India). The company develops Hydra, which it describes as the world's first autonomous food quality analyzer. Hydra combines IoT, industrial machine vision 3D, and machine learning with the Hydra AI cloud-enabled deep learning platform to automate batch quality inspection for food commodities including strawberries, almonds, and raspberries, with claims of accuracy on par with top human inspectors.

The product portfolio consists of the patented Hydra hardware analyzer and the patented Hydra AI software platform, augmented by a proprietary Auto-ML framework that supports continuous model improvement. Hydra integrates with peripheral devices including bar code scanners, weighing machines, BRIX sensors, moisture sensors, and POS systems to capture comprehensive inspection data. The system is claimed to inspect 200 almond kernels in under 20 seconds, deliver a 4X reduction in operational costs versus manual inspection, and enable a 3X increase in sample size. The company also claims to host the food industry's first database of verifiable food quality information.

AgShift serves enterprise customers across the food supply chain, including shippers, processors, distributors, wholesalers, and retailers. Disclosed customers include Driscoll's, Olam, Famoso, Aggrigator, and Wish Farms. The company sells through a direct enterprise field-sales motion with consultative 'Book a Demo' CTAs and customized offerings rather than published pricing, consistent with hardware-plus-software deployments at customer facilities. To date, AgShift has raised approximately $5.1 million in disclosed funding across seed, early-stage, and innovation-fund rounds, and the team includes a founder-led board supplemented by strategic and technical advisors and a VP of Engineering and AI.

Short descriptiontext

AgShift develops Hydra, an AI-powered autonomous food quality analyzer combining industrial machine vision and deep learning to automate produce inspection. The company sells hardware-plus-software deployments to food supply chain enterprises, including producers such as Driscoll's and Olam.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersCosta Mesa, United States
HQ citystring
Costa Mesa
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices5 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI food quality inspection, computer vision grading, food quality analyzer, autonomous quality assessment, agricultural AI solutions
Industry2 codes
1Data Management, LIMS & Compliance Software (ELN, eDMS, reporting automation)
CodeEUANAJAEPrimaryYes
2Rapid On-Site Environmental Testing Kits & Instruments (Lateral Flow, PCR, ATP Devices)
CodeAFALAEAKPrimaryNo
NAICS code1 code
  • Analytical Laboratory Instrument Manufacturing334516
SIC code1 code
  • Laboratory Analytical Instruments3826
Product category
Food Quality Inspection Systems
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Hydra Hardware and Software Platform
TypeHardware Sales
Description

The company sells the Hydra autonomous food quality analyzer which is a turn-key hardware solution combined with software/cloud services. The solution is deployed at customer facilities for quality inspection operations.

agshift.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Infrastructure, Operations
GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Brand1 of 2 records shown
1Hydra
Description

World's first autonomous food quality analyzer; combines IoT, computer vision, and machine learning to automate food quality inspection for batch inspections

agshift.com
+1 more record
Core offering1 text field

AgShift designs, manufactures and sells Hydra, the world's first autonomous food quality analyzer that combines a patented industrial machine vision 3D hardware unit with the Hydra AI cloud-enabled deep learning platform. The system automates batch quality inspection of food commodities (strawberries, almonds, raspberries and others), grading samples for defects, sweetness, and nutritional value in real time, and is sold to food organizations across the supply chain.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 4X reduction in operational costs
+4 more records
Product overview1 text field

AgShift offers a unified product portfolio centered around Hydra, the world's first autonomous food quality analyzer. The portfolio consists of two integrated technological components: the Hydra Analyzer (hardware) and the Hydra AI deep learning platform (cloud software). These components work together as a comprehensive end-to-end quality assessment solution. The company provides commodity-specific variants including Hydra for Strawberries, Hydra for Almonds, and Hydra for Raspberries, each trained over millions of images and data points for objective quality assessment of specific food products. The system integrates with sensors and edge devices (bar code scanners, weighing machines, BRIX sensors, moisture sensors) and POS systems to deliver real-time quality inspection reports with audit trail.

Product and service5 records
1Hydra
CategoryCore Product
Description

World's first autonomous food quality analyzer; a patented turn-key hardware and software system that uses industrial machine vision 3D and AI to automate quality assessment for batch inspections of food commodities, enabling operators to complete quality assessment in less than half the manual time with high accuracy. Sold to enterprise food organizations (shippers, processors, distributors, wholesalers, retailers).

2Hydra AI Deep Learning Platform
CategoryCore Product
Description

Patented cloud-enabled deep learning platform providing analytical processing power for the Hydra analyzer. Hosts the food industry's first database of verifiable food quality information and analyzes live samples in real-time for quality assessment and grading at the per-defect level, with a linearly scalable Auto-ML architecture and auto-feedback loop for continuous improvements.

3Hydra for Strawberries
CategoryProduct Variant
Description

Specialized AI configuration of Hydra for strawberry quality assessment. Inspects strawberries for visual quality parameters (green, decay, sooty mold, broken, wet/leaky, color distribution) and sweetness/nutritional values with no preparation required. Used by strawberry packers such as Driscoll's and Wish Farms.

4Hydra for Almonds
CategoryProduct Variant
Description

Specialized AI configuration of Hydra for almond quality assessment. Inspects almonds for serious defects, other defects, split & broken, foreign material, chip & scratch, doubles, discoloration, and pinholes. Capable of inspecting 200 kernels in under 20 seconds for almond processors.

5Hydra for Raspberries
CategoryProduct Variant
Description

Specialized AI configuration of Hydra for raspberry quality assessment. Inspects raspberries to assess visual quality attributes and defects for berry producers and packers.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Israel-based AI-powered quality inspection platform for fresh produce, offering cloud-based computer-vision quality assessment to packers, marketers, and retailers — the most directly comparable pure-play to AgShift's Hydra product.

TypeDirect peer
Description

India-based AI quality-grading platform for fruits, vegetables, and grains using computer vision and smartphone imaging — overlaps directly with AgShift on commodity coverage (berries, nuts) and enterprise food-quality customer segment.

TypeDirect peer
Description

Singapore-headquartered AI-driven food fingerprinting platform that assesses ingredient and food quality through hyperspectral sensing and ML — overlaps with AgShift on AI-based objective food-quality assessment and shared Singapore/Asia geographic presence.

TypeBroad incumbent
Description

Global industrial-sorting leader for food (fresh produce, nuts, proteins) with thousands of installed optical sorters; provides the most direct competitive overlap with Hydra at large food processors and is increasingly embedding AI/ML capabilities.

TypeDirect peer
Description

US-based manufacturer of optical sorters and inspection systems for food processing — directly comparable to AgShift's vision-based quality-assessment functionality for nuts, produce, and processed foods.

6Bühler Group
TypeBroad incumbent
Description

Swiss global incumbent in food-processing equipment, including optical sorting and AI-driven quality inspection for grain, nuts, and food ingredients — comparable as a broad-line incumbent adding AI quality capabilities.

TypeBroad incumbent
Description

Provider of validation, monitoring, and quality-assurance solutions for the food and pharmaceutical industries — overlaps with AgShift in food safety/quality assurance workflows and enterprise customer base, though with broader process-monitoring scope.

TypeOthers
Description

Adjacent fresh-produce technology company focused on shelf-life extension and post-harvest quality — overlapping in food-quality outcomes for the same enterprise customer segment (Driscoll's-tier berry producers) but operating in an adjacent rather than directly competitive category.

TypeEmerging player
Description

Blockchain-enabled food supply-chain traceability and quality-data platform — adjacent to AgShift's quality-data and audit-trail positioning and serves overlapping food-producer and retailer customers, though focused on provenance rather than physical quality inspection.

TypeEmerging player
Description

Agronomic intelligence and farm-management platform providing data analytics for crop production — adjacent to AgShift's upstream side, with shared enterprise food-producer customers and complementary data-driven decision support.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration5 records

Each record includes

Title, Type, Description, Source

AI capability5 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles7 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds5 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors6 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

AgShift

Food Quality Inspection Systemsagshift.com

AgShift develops Hydra, an AI-powered autonomous food quality analyzer combining industrial machine vision and deep learning to automate produce inspection. The company sells hardware-plus-software deployments to food supply chain enterprises, including producers such as Driscoll's and Olam.

What AgShift does

AgShift is a privately held AI food technology company founded in 2016 and headquartered in San Jose, California (with offices in Costa Mesa, New Mexico, Singapore, and India). The company develops Hydra, which it describes as the world's first autonomous food quality analyzer. Hydra combines IoT, industrial machine vision 3D, and machine learning with the Hydra AI cloud-enabled deep learning platform to automate batch quality inspection for food commodities including strawberries, almonds, and raspberries, with claims of accuracy on par with top human inspectors.

The product portfolio consists of the patented Hydra hardware analyzer and the patented Hydra AI software platform, augmented by a proprietary Auto-ML framework that supports continuous model improvement. Hydra integrates with peripheral devices including bar code scanners, weighing machines, BRIX sensors, moisture sensors, and POS systems to capture comprehensive inspection data. The system is claimed to inspect 200 almond kernels in under 20 seconds, deliver a 4X reduction in operational costs versus manual inspection, and enable a 3X increase in sample size. The company also claims to host the food industry's first database of verifiable food quality information.

AgShift serves enterprise customers across the food supply chain, including shippers, processors, distributors, wholesalers, and retailers. Disclosed customers include Driscoll's, Olam, Famoso, Aggrigator, and Wish Farms. The company sells through a direct enterprise field-sales motion with consultative 'Book a Demo' CTAs and customized offerings rather than published pricing, consistent with hardware-plus-software deployments at customer facilities. To date, AgShift has raised approximately $5.1 million in disclosed funding across seed, early-stage, and innovation-fund rounds, and the team includes a founder-led board supplemented by strategic and technical advisors and a VP of Engineering and AI.

AgShift firmographics

Firmographics
Name
AgShift
Legal name
AgShift
Website
https://agshift.com
Company type
Private
Founded year
2016
Operating status
Operating
Headcount range
11–50 employees
Short description
AgShift develops Hydra, an AI-powered autonomous food quality analyzer combining industrial machine vision and deep learning to automate produce inspection. The company sells hardware-plus-software deployments to food supply chain enterprises, including producers such as Driscoll's and Olam.
Ownership category
akta.pro rank

AgShift industry classification

Industry
Product category
Food Quality Inspection Systems
NAICS
Analytical Laboratory Instrument Manufacturing (334516)
SIC
Laboratory Analytical Instruments (3826)
akta.pro primary industry
Data Management, LIMS & Compliance Software (ELN, eDMS, reporting automation) (EUANAJAE)
akta.pro secondary industry
Rapid On-Site Environmental Testing Kits & Instruments (Lateral Flow, PCR, ATP Devices) (AFALAEAK)

Keywords

  • AI food quality inspection
  • Computer vision grading
  • Food quality analyzer
  • Autonomous quality assessment
  • Agricultural AI solutions

Where AgShift is headquartered

Location

Headquarters

HQ city
Costa Mesa
HQ country
United States
HQ region
North America

Offices5 records

Markets served

AgShift business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

  1. Hydra Hardware and Software Platform: The company sells the Hydra autonomous food quality analyzer which is a turn-key hardware solution combined with software/cloud services. The solution is deployed at customer facilities for quality inspection operations.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels4 records

AgShift product offering

Product offering

Core offering

AgShift designs, manufactures and sells Hydra, the world's first autonomous food quality analyzer that combines a patented industrial machine vision 3D hardware unit with the Hydra AI cloud-enabled deep learning platform. The system automates batch quality inspection of food commodities (strawberries, almonds, raspberries and others), grading samples for defects, sweetness, and nutritional value in real time, and is sold to food organizations across the supply chain.

Product overview

AgShift offers a unified product portfolio centered around Hydra, the world's first autonomous food quality analyzer. The portfolio consists of two integrated technological components: the Hydra Analyzer (hardware) and the Hydra AI deep learning platform (cloud software). These components work together as a comprehensive end-to-end quality assessment solution. The company provides commodity-specific variants including Hydra for Strawberries, Hydra for Almonds, and Hydra for Raspberries, each trained over millions of images and data points for objective quality assessment of specific food products. The system integrates with sensors and edge devices (bar code scanners, weighing machines, BRIX sensors, moisture sensors) and POS systems to deliver real-time quality inspection reports with audit trail.

Differentiator

Problem solved

Functional benefit

Brands

  • Hydra: World's first autonomous food quality analyzer; combines IoT, computer vision, and machine learning to automate food quality inspection for batch inspections
  • Hydra AI

Products and services

  • Hydra World's first autonomous food quality analyzer; a patented turn-key hardware and software system that uses industrial machine vision 3D and AI to automate quality assessment for batch inspections of food commodities, enabling operators to complete quality assessment in less than half the manual time with high accuracy. Sold to enterprise food organizations (shippers, processors, distributors, wholesalers, retailers).
  • Hydra AI Deep Learning Platform Patented cloud-enabled deep learning platform providing analytical processing power for the Hydra analyzer. Hosts the food industry's first database of verifiable food quality information and analyzes live samples in real-time for quality assessment and grading at the per-defect level, with a linearly scalable Auto-ML architecture and auto-feedback loop for continuous improvements.
  • Hydra for Strawberries Specialized AI configuration of Hydra for strawberry quality assessment. Inspects strawberries for visual quality parameters (green, decay, sooty mold, broken, wet/leaky, color distribution) and sweetness/nutritional values with no preparation required. Used by strawberry packers such as Driscoll's and Wish Farms.
  • Hydra for Almonds Specialized AI configuration of Hydra for almond quality assessment. Inspects almonds for serious defects, other defects, split & broken, foreign material, chip & scratch, doubles, discoloration, and pinholes. Capable of inspecting 200 kernels in under 20 seconds for almond processors.
  • Hydra for Raspberries Specialized AI configuration of Hydra for raspberry quality assessment. Inspects raspberries to assess visual quality attributes and defects for berry producers and packers.

Quantifiable outcome

  • 4X reduction in operational costs
  • +4 more outcomes

Companies that use AgShift

Customer profile

Named customers5 records

Segments3 records

Ideal customer profiles3 records

AgShift technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability5 records

Feature5 records

AgShift partnerships and signals

Strategic signal

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

AgShift competitors and assessment

Company assessment

Direct peers

  • Clarifruit: Israel-based AI-powered quality inspection platform for fresh produce, offering cloud-based computer-vision quality assessment to packers, marketers, and retailers — the most directly comparable pure-play to AgShift's Hydra product.
  • Intello Labs: India-based AI quality-grading platform for fruits, vegetables, and grains using computer vision and smartphone imaging — overlaps directly with AgShift on commodity coverage (berries, nuts) and enterprise food-quality customer segment.
  • ProfilePRINT: Singapore-headquartered AI-driven food fingerprinting platform that assesses ingredient and food quality through hyperspectral sensing and ML — overlaps with AgShift on AI-based objective food-quality assessment and shared Singapore/Asia geographic presence.
  • Key Technology (Duravant): US-based manufacturer of optical sorters and inspection systems for food processing — directly comparable to AgShift's vision-based quality-assessment functionality for nuts, produce, and processed foods.

Broad incumbents

  • TOMRA Food (incl. Compac): Global industrial-sorting leader for food (fresh produce, nuts, proteins) with thousands of installed optical sorters; provides the most direct competitive overlap with Hydra at large food processors and is increasingly embedding AI/ML capabilities.
  • Bühler Group: Swiss global incumbent in food-processing equipment, including optical sorting and AI-driven quality inspection for grain, nuts, and food ingredients — comparable as a broad-line incumbent adding AI quality capabilities.
  • Ellab: Provider of validation, monitoring, and quality-assurance solutions for the food and pharmaceutical industries — overlaps with AgShift in food safety/quality assurance workflows and enterprise customer base, though with broader process-monitoring scope.

Others

  • Apeel Sciences: Adjacent fresh-produce technology company focused on shelf-life extension and post-harvest quality — overlapping in food-quality outcomes for the same enterprise customer segment (Driscoll's-tier berry producers) but operating in an adjacent rather than directly competitive category.

Emerging players

  • ripe.io: Blockchain-enabled food supply-chain traceability and quality-data platform — adjacent to AgShift's quality-data and audit-trail positioning and serves overlapping food-producer and retailer customers, though focused on provenance rather than physical quality inspection.
  • AgriTask: Agronomic intelligence and farm-management platform providing data analytics for crop production — adjacent to AgShift's upstream side, with shared enterprise food-producer customers and complementary data-driven decision support.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

AgShift social profiles

Digital presence

AgShift financial estimates

Financial estimate

Revenue estimate

Valuation estimate

AgShift leadership team

Management profile

Number of profiles

Profiles7 records

AgShift funding detail

Funding detail

Funding overview

Funding rounds5 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

AgShift M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about AgShift

What does AgShift do?

AgShift designs, manufactures and sells Hydra, the world's first autonomous food quality analyzer that combines a patented industrial machine vision 3D hardware unit with the Hydra AI cloud-enabled deep learning platform. The system automates batch quality inspection of food commodities (strawberries, almonds, raspberries and others), grading samples for defects, sweetness, and nutritional value in real time, and is sold to food organizations across the supply chain.

Is AgShift a public or private company?

AgShift is a private company. It is classified as venture growth investor backed and is currently operating.

When was AgShift founded?

AgShift was founded in 2016. It employs 11 to 50 people.

Where is AgShift based?

AgShift is headquartered in Costa Mesa, United States, in the North America region.

How does AgShift make money?

One revenue line is on record: hydra Hardware and Software Platform.

Who are AgShift's main competitors?

Direct peers on record are Clarifruit, Intello Labs, ProfilePRINT and Key Technology (Duravant). Broad incumbents are TOMRA Food (incl. Compac), Bühler Group and Ellab. Apeel Sciences is listed as an others. Emerging players are ripe.io and AgriTask.

Does AgShift have an API?

No public API is recorded for AgShift.

What industry is AgShift in?

AgShift's product category is Food Quality Inspection Systems. Its primary akta.pro industry code is EUANAJAE, Data Management, LIMS & Compliance Software (ELN, eDMS, reporting automation), with a secondary code of AFALAEAK, Rapid On-Site Environmental Testing Kits & Instruments (Lateral Flow, PCR, ATP Devices). Its NAICS code is 334516 and its SIC code is 3826.

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Live signals
PR NewswireAgShift announces commercial launch of Hydra F100 BQ - world's first AI enabled food quality analyzerAgShift, a Silicon Valley-based food technology startup, announced the commercial launch of Hydra F100 BQ, which it claims is the world's first AI-enabled turnkey food quality analyzer using deep learning and computer vision. The product automates and digitizes food inspection to address inconsistent and subjective manual assessments that the company estimates cost the food industry $15 to $16 billion annually in losses. AgShift reported achieving high prediction accuracy during commercial trials with Driscoll's for strawberry inspection and Olam for cashew inspections, while noting it has raised $5 million in seed funding from Exfinity Venture Partners and CerraCap Ventures.PR NewswireCerraCap Ventures announces addition of AgShift, to its portfolio of companiesCerraCap Ventures announced AgShift as the newest addition to its portfolio of high-performing startups. AgShift is a deep learning technology company based in Silicon Valley, California, that has developed the world's first autonomous food inspection system using AI and computer vision to provide objective quality assessments for commodities. The investment aims to leverage CerraCap's network and strategic partnerships to support AgShift's growth in the food technology sector.FinSMEsAgShift Raises US$2M in Seed FundingAgShift, a Sunnyvale-based startup building an autonomous food inspection system, raised $2M in seed funding from Exfinity Ventures. The company will use the funds to strengthen product development and expand customer reach. Its patented deep learning models analyze produce defects and predict quality per USDA specifications.AgFunderNewsStartup Using Deep Learning to Fight Food Waste Raises $2m Seed RoundAgShift, a California-based startup using deep learning for produce inspection, has raised a $2 million seed round led by Exfinity Ventures. The company's mobile app automates quality assessment to reduce food waste and increase inspection efficiency across the supply chain. AgShift plans to use the funding to hire experts and expand pilot studies to new crops like cashews.PrwebAgShift, a US-based Start-up Raises US$2 Million Funding From Exfinity Ventures Among OthersAgShift, a California-based technology startup, has raised $2 million in seed funding from Exfinity Ventures and other investors to develop its autonomous food inspection system. The company aims to use deep learning and computer vision to standardize quality assessments across the supply chain, addressing an industry issue that costs organizations $15.6 billion annually due to inconsistent inspections.VC News DailyAgShift Raises $2M Seed FundingAgShift, a California-based technology startup, has raised $2 million in seed funding from India's Exfinity Ventures to strengthen product development and expand customer reach. The company is building the world's first autonomous food inspection system using Deep Learning and Computer Vision to reduce global food waste and address inconsistent inspections that cost organizations $15.6 billion annually. With this capital, AgShift plans to grow its development team and mature its product for enterprise use cases as it works toward establishing itself as a standard platform for autonomous food inspection.GlobeNewswireAgShift Launches Pilot Project with Marrone Bio Innovations to More Efficiently Assess the Impact of Biological Pesticides on the Quality of Fresh ProduceMarrone Bio Innovations and AgShift are piloting a digital tool to assess how biological pesticides affect fresh produce quality, starting with strawberries in Watsonville, CA. The project aims to provide real-time, objective measurements, replacing manual assessments. If successful, it could save California farmers and packers time and money.