Agriculture Supply Chain Management

Agriculture Supply Chain Management Market Outlook

The global Agriculture Supply Chain Management Market is projected to reach approximately USD 10 billion by 2035, growing at a CAGR of around 14% during the forecast period from 2025 to 2035. The increasing globalization of agricultural trade, demand for food safety, and the need for efficiency in agricultural operations are some of the primary factors driving this growth. Additionally, technological advancements, such as the integration of IoT and blockchain in supply chain operations, are enhancing transparency and traceability, which is crucial for consumers and regulatory bodies alike. The rise in e-commerce and direct-to-consumer strategies in agriculture is also significantly influencing market dynamics, prompting stakeholders to adopt advanced supply chain management solutions. Moreover, the impact of climate change on agricultural yields demands better risk management and resource allocation, further pushing the adoption of sophisticated supply chain solutions.

Growth Factor of the Market

One of the key growth factors in the Agriculture Supply Chain Management Market is the increasing need for real-time data analytics to enhance decision-making processes. As farmers and agribusinesses face challenges related to fluctuating market demands and climate conditions, the use of data analytics allows for better forecasting and inventory management, thus reducing waste and increasing efficiency. Furthermore, the growing consumer demand for organic and sustainably sourced food has compelled producers to adopt more transparent and responsible sourcing practices, which in turn necessitates advanced supply chain management tools. Additionally, government initiatives aimed at promoting technological innovations in agriculture provide a supportive environment for the emergence of new solutions, thus fueling market expansion. The rising trend of automation in farming processes also contributes to a more streamlined supply chain, enabling quicker response times to market changes. Finally, the increasing integration of AI and machine learning in supply chain processes helps in predictive analytics, significantly enhancing operational efficiency.

Key Highlights of the Market

• The Agriculture Supply Chain Management Market is projected to reach USD 10 billion by 2035.
• Technology advancements, such as IoT and blockchain, are transforming supply chain operations.
• Real-time analytics is becoming essential for efficient decision-making in agriculture.
• Government initiatives are fostering the adoption of innovative technologies in agriculture.
• The market is expected to exhibit a CAGR of around 14% from 2025 to 2035.

By Component

Hardware:

The hardware segment in Agriculture Supply Chain Management encompasses the various physical devices essential for the effective monitoring and management of agricultural operations. This includes sensors, GPS devices, and drones that collect critical data regarding crop health, soil quality, and environmental conditions. These devices enable farmers to monitor their fields in real-time, thus facilitating timely interventions when issues arise. As technology continues to advance, hardware solutions are becoming more integrated, allowing for seamless communication between devices and supply chain management software. This cohesion enhances data accuracy and streamlines processes, ultimately leading to reduced operational costs and improved yield. Furthermore, the growing trend of precision agriculture is driving the demand for sophisticated hardware solutions, as farmers seek to maximize productivity while minimizing resource usage. The emergence of affordable technology solutions is also encouraging small-scale farmers to adopt these hardware components, thus expanding the market further.

Software:

The software component is a critical aspect of the Agriculture Supply Chain Management Market, as it encompasses various applications that facilitate planning, tracking, and managing supply chain processes. These software solutions are designed to analyze data collected from hardware devices, allowing farmers and distributors to make informed decisions regarding production, inventory levels, and sales forecasting. Increased automation in agriculture, driven by software innovations, enables real-time tracking of goods from farm to market, improving transparency and efficiency. Additionally, software solutions offer advanced features such as predictive analytics and demand forecasting, which are invaluable in mitigating risks associated with market fluctuations and supply chain disruptions. The rise of cloud-based software solutions further enhances accessibility and collaboration among stakeholders throughout the agricultural supply chain. As the need for robust data management continues to grow, the software segment is poised for significant expansion in the coming years.

Services:

Services in the Agriculture Supply Chain Management Market include consulting, training, technical support, and system integration. These services are vital for ensuring that agricultural businesses can effectively implement and utilize supply chain management solutions to their fullest potential. Consulting services help organizations understand the complexities of supply chain logistics and develop customized strategies to optimize their operations. Technical support is crucial for addressing any issues that may arise during the implementation or operation of software and hardware solutions, ensuring minimal downtime and maximum efficiency. Additionally, training services enable staff to fully understand and leverage the capabilities of these technologies, thereby enhancing productivity. As agricultural practices continue to evolve and become more technology-driven, the demand for comprehensive service offerings that support these transitions is expected to rise significantly.

By Offering

Planning:

The planning segment encompasses a range of activities designed to forecast agricultural production, manage resources, and optimize supply chain processes. Planning software aids in scheduling planting and harvesting times, considering factors such as weather patterns and market demand. This proactive approach helps farmers allocate their resources more effectively, ensuring that they meet consumer needs while minimizing waste. Enhanced planning capabilities also contribute to better financial management, as farmers can anticipate costs associated with labor, equipment, and inputs. Additionally, integrated planning solutions that connect various stakeholders, including suppliers and distributors, foster collaboration and streamline communication, which is essential for a seamless supply chain. As the agricultural sector becomes increasingly competitive, the emphasis on robust planning processes is expected to grow.

Sourcing:

Sourcing is a critical component of agriculture supply chain management that focuses on acquiring the necessary materials and resources to support agricultural production. This includes procuring seeds, fertilizers, pesticides, and other inputs required for farming operations. Advanced sourcing solutions enable farmers to identify reliable suppliers, negotiate better prices, and ensure the timely delivery of crucial inputs. By leveraging technology, such as digital marketplaces and supplier networks, farmers can enhance their sourcing strategies, leading to cost savings and improved operational efficiency. Furthermore, as consumers increasingly demand sustainably sourced products, sourcing solutions that emphasize ethical practices and traceability are gaining traction. These factors contribute to the overall growth of the sourcing segment within the agriculture supply chain management market, facilitating a more resilient agricultural ecosystem.

Distribution:

The distribution segment plays a pivotal role in ensuring that agricultural products reach consumers efficiently and effectively. This involves managing logistics, transportation, and warehousing of goods, all of which are essential for maintaining product quality and safety. Advanced distribution solutions leverage technologies such as GPS tracking and route optimization to minimize transit times and reduce costs. Moreover, the increasing importance of direct-to-consumer and e-commerce distribution channels is reshaping traditional agricultural distribution models, prompting stakeholders to adapt their strategies accordingly. The integration of automation and robotics in distribution processes further enhances efficiency, enabling quicker response times to market demands. As consumer expectations for timely delivery of fresh produce continue to rise, the distribution segment is expected to experience substantial growth in the coming years.

Analytics:

Analytics in agriculture supply chain management involves the use of data-driven insights to enhance decision-making and optimize operations. By analyzing data collected from various sources, including weather forecasts, market trends, and historical performance, stakeholders can make informed choices that lead to improved productivity and reduced costs. Advanced analytics solutions enable predictive modeling and scenario planning, allowing farmers to anticipate challenges and respond proactively. Furthermore, the integration of analytics with real-time data from IoT devices enhances the accuracy and timeliness of insights, empowering farmers to react swiftly to changing conditions. As the agricultural sector becomes increasingly data-centric, the demand for robust analytics solutions is expected to grow, supporting a more agile and responsive supply chain.

By Deployment

On-premises:

On-premises deployment refers to the installation of agriculture supply chain management solutions directly on a farm's or business’s local servers. This approach allows for greater control over data and systems, enabling organizations to customize their solutions to fit specific operational needs. Many traditional agricultural businesses prefer on-premises solutions due to concerns about data security, compliance, and control over proprietary information. However, this deployment method often requires significant upfront investment in hardware and IT infrastructure, as well as ongoing maintenance and support costs. As a result, on-premises solutions may be more suitable for larger agricultural enterprises with the resources to manage these complexities. Despite these challenges, the demand for on-premises solutions remains strong, particularly among those who prioritize security and control in their supply chain operations.

Cloud-based:

Cloud-based deployment has become increasingly popular in the Agriculture Supply Chain Management Market due to its flexibility and scalability. This deployment model allows organizations to access software applications and data remotely over the internet, significantly reducing the need for physical infrastructure and associated maintenance costs. Furthermore, cloud-based solutions often come with built-in updates and improvements, ensuring that businesses always have access to the latest features and capabilities. This model is especially advantageous for small to medium-sized enterprises that may lack the resources for extensive IT infrastructure. Additionally, cloud-based solutions facilitate collaboration among stakeholders across the supply chain, enhancing communication and efficiency. As the agricultural sector continues to embrace digital transformation, the demand for cloud-based deployment is expected to surge, accelerating the growth of this segment.

By Application

Farm Management:

Farm management applications play a crucial role in the Agriculture Supply Chain Management Market by assisting farmers in planning, monitoring, and analyzing all activities on their farms. These applications enable farmers to track crop health, soil conditions, and resource utilization, allowing for more informed decisions regarding planting, irrigation, and fertilization. By leveraging data analytics, farm management solutions help optimize yield while minimizing waste and resource consumption. Additionally, these applications facilitate better financial planning and risk management, enabling farmers to navigate market fluctuations and operational challenges. The increasing adoption of precision farming techniques further amplifies the demand for farm management applications, as farmers seek to leverage technology to enhance productivity. As the agricultural landscape evolves, the significance of farm management applications will continue to grow, supporting more sustainable and efficient farming practices.

Inventory Management:

Inventory management is a vital application within the Agriculture Supply Chain Management Market that focuses on tracking and managing the stock of agricultural products and resources. Effective inventory management ensures that farmers and distributors maintain optimal stock levels, reducing the risk of overstocking or stockouts, both of which can lead to financial losses. Advanced inventory management solutions leverage real-time data to provide insights into demand trends, enabling stakeholders to make informed decisions about purchasing and storage. This is particularly important in the highly perishable agricultural sector, where timely inventory turnover is essential for maintaining product quality. Furthermore, integration with other supply chain management systems enhances the overall efficiency of operations, allowing for seamless communication between different stakeholders in the supply chain. As competition in the agricultural sector intensifies, the need for robust inventory management solutions will continue to increase.

Procurement:

Procurement applications within the Agriculture Supply Chain Management Market play a critical role in sourcing and acquiring raw materials required for agricultural production. These solutions streamline the procurement process, enabling farmers to identify reliable suppliers, compare prices, and negotiate contracts effectively. By leveraging technology, procurement applications facilitate better decision-making by providing insights into supplier performance, lead times, and overall market conditions. Additionally, these tools can enhance collaboration between farmers and suppliers, fostering long-term partnerships and ensuring the timely delivery of essential resources. As the agricultural sector increasingly embraces sustainability, procurement applications that emphasize environmentally friendly and ethically sourced materials are becoming more prevalent. This shift not only aligns with consumer demand for transparency but also contributes to the overall resilience of the agricultural supply chain.

Logistics:

Logistics applications are essential components of the Agriculture Supply Chain Management Market, focusing on the efficient movement of goods from farm to consumer. These solutions encompass various activities, including transportation management, route optimization, and warehousing. Effective logistics management ensures that agricultural products are delivered in a timely manner, maintaining their quality and freshness. Advanced logistics applications leverage real-time data and analytics to optimize transport routes, reducing costs and minimizing environmental impact. Additionally, these tools facilitate better coordination among different stakeholders in the supply chain, improving transparency and communication. The rise of e-commerce and direct-to-consumer models in agriculture is further driving the demand for efficient logistics solutions, as consumers increasingly expect quick and reliable delivery of products. As the agricultural sector evolves, the importance of logistics applications will continue to grow, supporting a more agile and responsive supply chain.

By Region

The Agriculture Supply Chain Management Market exhibits a varied regional landscape, characterized by distinct trends and growth potential. North America is currently leading the market, accounting for approximately 40% of the global share due to advanced agricultural practices and significant investments in technology. The United States, in particular, is driving this growth with its sophisticated supply chain solutions that leverage data analytics and automation. The region is expected to maintain a robust CAGR of around 15% through 2035, as more farmers and businesses recognize the importance of efficient supply chain management. Europe follows closely behind, with around 30% of the market share, driven by increasing consumer demand for sustainable agriculture practices and the integration of advanced technologies in farming operations. As European Union policies further support agricultural innovation, the demand for supply chain solutions is poised for growth.

In the Asia Pacific region, the Agriculture Supply Chain Management Market is experiencing rapid growth, projected to expand at a CAGR of 16% from 2025 to 2035. This surge is attributed to the increasing population and urbanization, which heighten the demand for efficient food distribution systems. Emerging economies, specifically India and China, are investing heavily in agricultural technology, leading to improved supply chain efficiencies. The Latin America and Middle East & Africa regions are also showing potential, collectively accounting for about 20% of the market. The rising need for food security in these regions, coupled with increased investments in agricultural infrastructure, is expected to drive the adoption of supply chain solutions. Overall, the regional dynamics indicate a promising future for the Agriculture Supply Chain Management Market, with each region contributing to overall growth.

Opportunities

The Agriculture Supply Chain Management Market presents numerous opportunities for growth, particularly with the increasing incorporation of digital technologies in agricultural practices. As farmers and agribusinesses continue to adopt IoT devices, big data analytics, and blockchain technologies, there is a growing demand for integrated supply chain management solutions that can provide real-time insights and enhance operational efficiency. Additionally, the rising trend towards sustainable agriculture and organic farming is driving the need for transparency and traceability throughout the supply chain. This presents an opportunity for technology providers to develop solutions that cater specifically to these needs, offering features that enable better resource management and compliance with regulatory standards. Moreover, the expansion of e-commerce in the agricultural sector creates new avenues for direct-to-consumer sales, which necessitates robust supply chain management to ensure timely delivery and product quality.

Furthermore, emerging markets are presenting untapped opportunities for growth in the Agriculture Supply Chain Management Market. As developing countries focus on improving their agricultural productivity and addressing food security challenges, there is an increasing recognition of the importance of efficient supply chain management. Investment in infrastructure, technology, and training for farmers can lead to improved harvest yields and reduced post-harvest losses. Collaborations between public and private sectors can foster innovation and improve access to advanced supply chain solutions. Additionally, the COVID-19 pandemic has accelerated the need for resilient supply chains, prompting stakeholders to invest in technologies that enhance agility and flexibility in response to unforeseen disruptions. This shift offers significant growth opportunities for companies that provide innovative supply chain solutions tailored to the unique challenges faced by the agricultural sector.

Threats

Despite the promising growth potential in the Agriculture Supply Chain Management Market, several threats could hinder its progress. One major concern is the impact of climate change on agricultural productivity, which can lead to supply chain disruptions. Extreme weather events, such as droughts, floods, and storms, can significantly affect crop yields, causing fluctuations in supply and demand that directly impact the supply chain. Additionally, the agricultural sector is highly susceptible to global economic factors, such as trade policies and market volatility, which can lead to uncertainty and challenges in sourcing raw materials. Furthermore, cybersecurity threats are increasingly becoming a concern as agricultural businesses adopt digital technologies. The risk of data breaches and cyberattacks can jeopardize sensitive information and disrupt operations, leading to financial losses and damage to a company's reputation.

Another potential threat lies in the regulatory landscape surrounding agriculture and food safety. Governments worldwide are implementing stricter regulations to ensure food quality and safety, which can increase compliance costs and complexities for agribusinesses. Failure to adhere to these regulations can result in penalties and loss of consumer trust. Furthermore, there is a growing competition among agricultural technology providers, which can lead to market saturation and price wars. Companies that do not innovate and adapt to changing market conditions may struggle to maintain their market share. Lastly, socioeconomic factors, such as labor shortages and rising input costs, can strain the agricultural supply chain, impacting overall efficiency and profitability. Addressing these threats will require proactive strategies and collaboration among stakeholders within the supply chain.

Competitor Outlook

• IBM
• Oracle
• SAP
• Corteva Agriscience
• Trimble
• Ag Leader Technology
• AgroStar
• FarmLogs
• FieldLink
• Croptracker
• Raven Industries
• Granular
• The Climate Corporation
• Syngenta
• John Deere

The competitive landscape of the Agriculture Supply Chain Management Market is characterized by a diverse array of players, including established companies and innovative startups. Major technology firms, such as IBM and Oracle, offer comprehensive supply chain management solutions that leverage advanced analytics, IoT, and cloud technologies. These companies are focusing on strategic partnerships and collaborations to enhance their service offerings and expand their market presence. Furthermore, agricultural giants like Corteva Agriscience and Syngenta are increasingly incorporating digital solutions into their supply chain operations, recognizing the need for modernization to meet evolving consumer demands. This shift towards technology adoption is fostering a competitive environment where businesses must continuously innovate to maintain their market position.

Emerging players, such as AgroStar and FarmLogs, are also making significant waves in the market by offering specialized solutions tailored to the unique challenges faced by small and medium-sized enterprises in agriculture. These companies often leverage technology to provide affordable and accessible solutions, enabling farmers to optimize their operations without incurring substantial costs. The competitive dynamics among both established and emerging players are driving ongoing advancements in supply chain management technologies, promoting the development of robust, integrated solutions that enhance efficiency and productivity across the agricultural sector. As the market evolves, companies that can successfully balance innovation with customer-centric solutions will be well-positioned for sustained growth.

Key companies like IBM and SAP are investing heavily in research and development to enhance their product offerings, focusing on areas such as predictive analytics, machine learning, and blockchain technology. These innovations are aimed at providing customers with greater visibility and control over their supply chains, ultimately leading to improved efficiencies and reduced operational costs. Additionally, established players are increasingly acquiring startups and smaller firms to integrate innovative technologies into their existing platforms, further enhancing their competitive advantage. For instance, the acquisition of Ag Leader Technology by a major tech company exemplifies this trend, as it allows for the integration of precision agriculture solutions with broader supply chain management systems. As competition intensifies, the emphasis on strategic acquisitions and partnerships will continue to shape the competitive landscape of the Agriculture Supply Chain Management Market.

• 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 IBM
    • 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 SAP
    • 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 Oracle
    • 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 Trimble
    • 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 AgroStar
    • 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 FarmLogs
    • 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 Granular
    • 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 Syngenta
    • 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 FieldLink
    • 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 John Deere
    • 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 Croptracker
    • 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 Raven Industries
    • 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 Corteva Agriscience
    • 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 Ag Leader Technology
    • 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 The Climate Corporation
    • 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 Agriculture Supply Chain Management Market, By Offering
    • 6.1.1 Planning
    • 6.1.2 Sourcing
    • 6.1.3 Distribution
    • 6.1.4 Analytics
  • 6.2 Agriculture Supply Chain Management Market, By Component
    • 6.2.1 Hardware
    • 6.2.2 Software
    • 6.2.3 Services
  • 6.3 Agriculture Supply Chain Management Market, By Deployment
    • 6.3.1 On-premises
    • 6.3.2 Cloud-based
  • 6.4 Agriculture Supply Chain Management Market, By Application
    • 6.4.1 Farm Management
    • 6.4.2 Inventory Management
    • 6.4.3 Procurement
    • 6.4.4 Logistics

• 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 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Agriculture Supply Chain Management Market by Region

• 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 Agriculture Supply Chain Management market is categorized based on

By Component

• Hardware
• Software
• Services

By Offering

• Planning
• Sourcing
• Distribution
• Analytics

By Deployment

• On-premises
• Cloud-based

By Application

• Farm Management
• Inventory Management
• Procurement
• Logistics

By Region

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

Key Players

• IBM
• Oracle
• SAP
• Corteva Agriscience
• Trimble
• Ag Leader Technology
• AgroStar
• FarmLogs
• FieldLink
• Croptracker
• Raven Industries
• Granular
• The Climate Corporation
• Syngenta
• John Deere