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Improving maintenance and uptime of agricultural machinery fleets
  • Background
  • What we're looking for
  • What we can offer you
  • Who we are
  • Q&A
Background

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Agricultural research operations rely on a diverse fleet of tractors, harvesters, sprayers, and other specialized machines to execute trials efficiently and at the right moment in the season. Keeping these assets operational is increasingly challenging as equipment becomes more complex, combining mechanical, electronic, and software components that vary across manufacturers. This creates a layered maintenance challenge: managing mixed fleets, responding to breakdowns, relocating machinery, and securing the right technical expertise when and where it is needed, all while keeping field activities on schedule. 

 

In Brazil, this challenge is typically addressed through internal coordination, third-party service providers, and manufacturer-recommended partners. The original equipment manufacturer rarely provides direct support and instead relies on external service networks with varying capabilities. Support is often fragmented across brands, regions, and technical specialties, and service capacity is limited even in locations with relatively strong supplier ecosystems. This limited access to consistent, high-quality service across regions and equipment types results in delays in repair, operational disruption, and additional burden on researchers and agronomy teams. 

 

We believe this challenge may not be solved by a single provider or intervention, but through a coordinated combination of capabilities that improve uptime and simplify maintenance across mixed fleets. This could include multibrand technical support, preventive or predictive maintenance approaches, digital tools, fleet management solutions, or new service models that better connect expertise with field needs. Ultimately, Bayer is seeking approaches that enable more reliable equipment support, allowing teams to focus on generating field data, validating product performance, and bringing better solutions to farmers.

What we're looking for

We are looking for ways to improve the use, maintenance, and uptime of agricultural machinery fleets, particularly in the context of managing diverse, multibrand equipment and accessing reliable technical support. The ideal partner would enable reliable, multibrand technical support, including repair, preventive or predictive maintenance, and guidance on proper equipment use. While partners offering an end-to-end solution would be ideal, we welcome technologies addressing specific components of the challenge that can be combined into a broader approach. We are seeking partners based in Brazil or willing to establish operations locally. Bayer is open to collaborating closely, including supporting business model development, connecting with manufacturers, and piloting solutions in real-world conditions.

Solutions of interest include:
  • Multibrand repair and field service with defined service levels (SLAs)
  • Remote diagnostics for mechanical, electronic, or software issues
  • Training solutions for proper equipment use and upkeep
  • Technician dispatch and repair coordination platforms
  • Equipment rental or managed fleet models
  • Repair referral or assistance network models
Our must-have requirements are:
  • Applicable to agricultural or heavy-duty machinery
  • Addresses at least one aspect of maintenance, repair, or uptime
What we can offer you
Eligible partnership models:
Fee-for-servicePilot or trial engagement
Benefits:
Compensation
Budget is available to support pilot projects, service agreements, or initial implementation. Selected partners may work with Bayer to define the scope and structure of collaboration, potentially leading to longer-term commercial engagement.
Expertise
Selected partners may collaborate with Bayer agronomy, operations, and technical teams with hands-on experience in agricultural machinery use across diverse field environments in Brazil. Bayer can provide practical insights into operational challenges, equipment usage, and field conditions to help refine and validate proposed solutions.
Data
Partners may have opportunities to collaborate with Bayer using anonymized operational data (e.g. equipment usage, maintenance patterns, or field logistics) to support validation and improvement of proposed solutions, where appropriate.
Facilities and Services
Opportunities may exist to pilot and evaluate solutions within Bayer’s field operations across different regions in Brazil, depending on the proposal and stage of development.
Networking
Connect with Bayer teams and relevant stakeholders across operations, agronomy, and equipment management, and gain exposure to broader networks within the agricultural ecosystem.
Market Access
Successful partners may have the opportunity to establish a commercial relationship with Bayer, including potential service agreements or longer-term collaboration across multiple locations in Brazil, depending on performance and scalability of the solution.
Who we are

Bayer’s vision of #HealthForAll, #HungerForNone drives our need to strengthen innovation capabilities in all areas of agriculture. We know we can’t accomplish this alone, so we're always interested to hear about novel, early-stage scientific innovations that can contribute to feeding the world without starving the planet. You have our commitment to take a look, match with our R&D priorities and provide you timely feedback.

 Learn more
Reviewers
Q&A with Bayer Crop Science

The Q&A is now closed.

Sort by:
Q.
How much historical data has been collected and available?
1
A.
We have the data regarding the preventive maintenance recommended by the manufacturer.
TS
Thiago Salviano, Agricultural & Facilities Management, Bayer Crop Science
May 11, 2026
Is this response helpful?
0
0
Q.
Would solutions that consider adding sensors to the agriculture vehicles/equipment be of interest or should the focus be on only using existing data sources/sensors?
1
A.
One potential solution could be a hybrid approach: leveraging the existing data infrastructure in the equipment and supplementing it with the installation of specific sensors to increase reliability and monitoring of critical components.
TS
Thiago Salviano, Agricultural & Facilities Management, Bayer Crop Science
May 11, 2026
Is this response helpful?
0
0
Q.
1) What systems do you currently use for maintenance logs/work orders (spreadsheets, CMMS, OEM portals)?
1
A.
Currently, work orders are managed using an Excel spreadsheet.
TS
Thiago Salviano, Agricultural & Facilities Management, Bayer Crop Science
April 29, 2026
Is this response helpful?
0
0
Q.
Do you have any telematics access (OEM APIs like John Deere/Case/etc.), or is it mostly manual reporting? What are the top 3 downtime causes (parts availability, technician travel, operator error, scheduling)?
1
A.
We do not have access to the manufacturers' systems; reports are generated manually. The main causes of downtime are: Travel time for technicians moving from central office to regional hubs, lack of parts, and scheduling issues of equipment.
TS
Thiago Salviano, Agricultural & Facilities Management, Bayer Crop Science
April 29, 2026
Is this response helpful?
0
0
Q.
It was mentioned that telematics sensor data for the equipment is unlikely. In that case, what sensor data, maintenance records, or other data is currently being collected? This includes manual and any automated data?
1
A.
Operational hours are monitored via hour meter readings, with manual completion of control spreadsheets.
TS
Thiago Salviano, Agricultural & Facilities Management, Bayer Crop Science
May 11, 2026
Is this response helpful?
0
0
Q.
Would Bayer consider a pilot that turns Excel work orders, hour-meter/PM data, locations and parts/downtime notes into coordination analytics, while repairs remain with Bayer/local providers?
1
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AcousticsAgricultural EngineeringAgricultural ScienceAgronomyArtificial IntelligenceClassical MechanicsCrop Cultivation and HarvestingDiagnosticsElectricalMachine Learning
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