Intelligent Agriculture

Intelligent Agriculture Market Outlook

The global Intelligent Agriculture Market is poised for substantial growth, with an estimated market size of approximately USD 20 billion in 2025, projected to reach over USD 40 billion by 2035, exhibiting a remarkable CAGR of approximately 7.5% during the forecast period. Factors contributing to this growth include the increasing adoption of advanced technologies such as IoT, AI, and machine learning in farming processes, the rising need for sustainable agricultural practices, and growing concerns regarding food security driven by a rapidly aging global population. Additionally, the demand for enhanced productivity and resource efficiency through precision farming techniques has catalyzed investment in smart agricultural solutions. Increasing government initiatives aimed at promoting the adoption of smart farming practices, along with the emergence of innovative startups in the agri-tech space, further bolster the market's expansion. The integration of data analytics and real-time monitoring systems is pivotal in transforming traditional farming methods into more efficient and sustainable operations.

Growth Factor of the Market

The growth of the Intelligent Agriculture Market can be attributed to several key factors. First, the increasing global population necessitates an uptick in food production, placing pressure on agricultural systems to enhance yield without significantly increasing land usage. Advanced agricultural technologies, particularly precision farming, are being increasingly recognized for their potential to maximize output while minimizing waste and environmental impact. Moreover, rising investment in research and development from both public and private sectors is accelerating innovation in smart farming technologies, making them more accessible to various scales of agriculture. The trend towards digitization in agriculture, with farmers leveraging data analytics for decision-making, is transforming how farming operations are managed. Additionally, as climate change continues to pose challenges for agriculture, intelligent solutions that promote sustainability and resilience in farming practices are gaining traction, thus driving market growth.

Key Highlights of the Market

• The Intelligent Agriculture Market is expected to grow at a CAGR of 7.5% from 2025 to 2035.
• Precision farming is anticipated to dominate the technology segment due to its efficiency in resource utilization.
• North America holds the largest market share, driven by high technology adoption rates and innovation.
• Smart greenhouse management applications are increasingly popular due to their role in optimizing environmental conditions.
• The market is witnessing a surge in partnerships between tech companies and agricultural entities to enhance technological integration.

By Technology

Precision Farming:

Precision farming encompasses a range of technologies and practices that leverage data to optimize agricultural output. This technology segment includes Geographic Information Systems (GIS), Global Positioning System (GPS), and remote sensing, allowing farmers to gather detailed information about their fields and crop conditions. By analyzing this data, farmers can make informed decisions regarding planting, irrigation, and fertilization, leading to increased productivity and reduced resource waste. Precision farming helps in monitoring crop health in real-time, facilitating timely interventions and ultimately leading to higher yields and better quality produce. This technology is particularly beneficial in large-scale farming operations where traditional methods may prove inefficient. The growing availability of affordable sensors and drones has further driven the adoption of precision farming practices, enabling farmers of all sizes to enhance their agricultural efficiency.

Livestock Monitoring:

Livestock monitoring technology employs various tools such as RFID tags, GPS collars, and health monitoring devices to track and manage animal health and productivity. This technology segment is vital for ensuring the well-being of livestock, as it allows farmers to monitor vital signs, feeding patterns, and overall health status. With the integration of IoT and big data analytics, farmers can gain insights into their livestock's behavior and health trends, enabling them to address potential health issues proactively. The benefits extend to improved breeding practices, better resource allocation, and enhanced management of animal husbandry. As demand for animal products continues to rise, the livestock monitoring segment is increasingly recognized for its potential to enhance productivity while ensuring the sustainability of livestock operations.

Smart Greenhouse:

Smart greenhouse technology revolutionizes traditional greenhouse farming by incorporating automation and advanced sensors to control environmental conditions effectively. These greenhouses utilize climate control systems, soil moisture sensors, and automated irrigation systems to create optimal growth conditions for various crops. The significant advantage of smart greenhouses is their ability to maximize crop yield and quality while minimizing resource use, such as water and fertilizers. As urbanization increases, and space for traditional farming decreases, smart greenhouses offer a sustainable solution for food production. The rise of urban agriculture is further enhancing the demand for smart greenhouses, as they can be integrated into urban spaces to provide fresh produce within city limits while reducing carbon footprints associated with transportation.

Agricultural Drones:

Agricultural drones have emerged as a powerful tool for modern agriculture, providing farmers with the ability to perform aerial surveillance and data collection over large agricultural areas. These drones are equipped with advanced sensors and imaging technology that allow for comprehensive monitoring of crop health, soil conditions, and irrigation needs. By utilizing drones, farmers can quickly identify areas that require attention, such as pest infestations or nutrient deficiencies, enabling timely interventions that can enhance crop yields significantly. The ability to gather precise data from the air complements ground-based farming practices, providing a holistic view of agricultural operations. As the technology continues to evolve and drone prices decrease, the adoption of agricultural drones is expected to rise, further driving efficiency and productivity within the sector.

Automated Irrigation Systems:

Automated irrigation systems represent a significant advancement in water management for agricultural practices. These systems utilize sensors, controllers, and irrigation technologies to optimize water application based on real-time data regarding soil moisture levels, crop water needs, and weather conditions. By automating the irrigation process, farmers can significantly reduce water waste, ensuring that crops receive the precise amount of water they need for optimal growth. Additionally, automated systems can be programmed to operate on schedules that align with changing weather patterns, enhancing efficiency and promoting sustainability in water use. As water scarcity becomes an increasingly pressing issue worldwide, the significance of automated irrigation systems continues to grow, making them an essential component of intelligent agriculture.

By Application

Precision Crop Farming:

Precision crop farming is a leading application within the intelligent agriculture market, focusing on optimizing crop production through data-driven approaches. This application involves using advanced technologies such as satellite imaging, drones, and soil sensors to collect information about crop health, soil conditions, and other relevant factors. By analyzing this data, farmers can make informed decisions regarding planting, fertilization, and pest management, ultimately leading to improved crop yields and reduced inputs. Precision crop farming also allows for variable rate application of fertilizers and pesticides, ensuring that these inputs are used efficiently and sustainably. As the agricultural sector continues to face the challenges of feeding a growing population, precision crop farming is becoming increasingly critical in enhancing productivity while minimizing environmental impact.

Livestock Monitoring:

Livestock monitoring is another vital application of intelligent agriculture, encompassing technologies that provide real-time insights into the health and productivity of livestock. This application leverages tools such as wearables, health monitors, and tracking systems to collect valuable data on animal behavior, feeding patterns, and health metrics. By utilizing livestock monitoring technologies, farmers can promptly detect health issues, optimize feeding regimens, and enhance breeding practices based on performance metrics. The ability to monitor livestock remotely allows farmers to make data-driven decisions that improve animal welfare and productivity while also streamlining operations. The growth of this application is propelled by the increasing focus on animal welfare and the need for more efficient livestock production systems in response to rising global demand for meat and dairy products.

Smart Greenhouse Management:

Smart greenhouse management is an innovative application that enhances traditional greenhouse farming through automation and advanced control systems. This application aims to optimize the growing environment for various crops, utilizing technologies such as climate control systems, automated irrigation, and sensor networks. By managing factors such as temperature, humidity, light, and soil moisture, smart greenhouse management ensures that crops receive optimal conditions for growth. The integration of data analytics allows for real-time adjustments based on environmental changes, improving crop quality and yield. As urban agriculture gains prominence, smart greenhouse management is recognized for its potential to produce fresh produce in limited spaces while promoting sustainability and reducing resource consumption.

Others:

The "Others" application segment within the intelligent agriculture market encompasses various emerging applications that do not fall under the primary categories. This includes applications such as supply chain management, market analysis, and predictive analytics tailored to agricultural needs. These applications leverage advanced technologies to enhance operational efficiency, reduce waste, and improve profitability within the agricultural sector. With increasing interest in agri-tech startups and innovations, the "Others" segment is expected to evolve significantly, introducing novel solutions that cater to the diverse needs of modern agriculture. This growth is driven by the integration of technology across all facets of the agricultural value chain, as stakeholders recognize the importance of data-driven decision-making in achieving sustainable agricultural practices.

By Farm Size

Small-Scale Farms:

Small-scale farms represent a significant portion of the agricultural landscape, often characterized by traditional farming practices and limited resources. However, the adoption of intelligent agriculture technologies is increasingly becoming accessible to these farms, enabling them to enhance productivity and sustainability. Technologies such as precision farming, automated irrigation systems, and smart greenhouse solutions can be tailored to fit the needs of small-scale operations, allowing farmers to improve yields while conserving resources. Additionally, the integration of mobile applications and affordable sensors empowers small farmers to leverage data for better decision-making. As the demand for locally sourced food continues to rise, small-scale farms leveraging intelligent agriculture solutions are positioned to thrive in the evolving market landscape.

Medium-Scale Farms:

Medium-scale farms operate on a larger scale than small farms but often face distinct challenges related to resource management and operational efficiency. The intelligent agriculture market offers numerous solutions that can be effectively implemented at this scale, such as precision farming technologies that enhance crop monitoring and yield forecasting. By adopting data-driven approaches, medium-sized farmers can optimize input usage, manage labor more efficiently, and respond promptly to changing conditions. Additionally, technologies such as agricultural drones and livestock monitoring systems enable medium-scale farms to streamline operations and improve overall productivity. As technology becomes more integrated into agricultural practices, medium-scale farms are increasingly able to compete in both local and global markets.

Large-Scale Farms:

Large-scale farms are at the forefront of adopting intelligent agriculture technologies to maximize efficiency and productivity. With extensive land holdings, these farms face the challenge of managing vast operations effectively while ensuring sustainability. Technologies such as precision farming, automated irrigation systems, and advanced data analytics tools are crucial in enhancing operational efficiency. The ability to collect and analyze large amounts of data allows large-scale farmers to make informed decisions that can significantly impact yield and profitability. Additionally, the adoption of smart greenhouse management systems enables large-scale operations to produce high-quality crops year-round, regardless of external weather conditions. As the agricultural sector continues to evolve, large-scale farms are likely to lead the way in integrating advanced technologies into their operations.

By Offering

Hardware:

Hardware solutions in the intelligent agriculture market encompass various physical devices and equipment designed to enhance farming practices. This includes sensors, drones, GPS systems, and automated machinery that contribute to precision farming and livestock monitoring. The hardware segment is essential for collecting real-time data, enabling farmers to make informed decisions based on accurate information. With advancements in technology, the cost of agricultural hardware is decreasing, making it more accessible to farmers of all sizes. The demand for innovative hardware solutions is driven by the growing need for efficiency and productivity in agriculture, as well as the need for sustainable practices that minimize resource consumption. As more farmers recognize the value of data-driven agriculture, the hardware segment is expected to experience robust growth in the coming years.

Software:

Software solutions play a vital role in the intelligent agriculture market by providing the necessary tools for data analysis and management. This includes platforms for data visualization, farm management systems, and applications for monitoring crop health and livestock conditions. Software solutions enable farmers to interpret the data collected from various hardware devices, facilitating better decision-making and more efficient resource allocation. With the rise of cloud computing and mobile applications, farmers can access software solutions remotely, allowing for greater flexibility and real-time monitoring of agricultural operations. As the demand for precision agriculture continues to grow, software solutions will increasingly become critical in driving productivity and sustainability in the agricultural sector.

Services:

The services segment within the intelligent agriculture market encompasses a wide range of offerings, including consulting, maintenance, and training services related to the implementation of agricultural technologies. As farmers adopt advanced technologies, the need for expert guidance and support becomes paramount, facilitating successful integration into existing operations. Additionally, service providers offer ongoing maintenance and support for hardware and software solutions, ensuring optimal performance and longevity. Training services are also essential in equipping farmers with the necessary skills to utilize new technologies effectively. The growing complexity of agricultural technology solutions is driving demand for professional services, making this segment a crucial component of the intelligent agriculture ecosystem.

By Region

The regional analysis of the Intelligent Agriculture Market highlights significant differences in adoption rates and technology integration across different areas. North America is currently the leading region, accounting for approximately 35% of the global market share in 2025, driven by high levels of technological adoption and innovation. The presence of key players in the agri-tech sector, coupled with strong investment in research and development, positions North America at the forefront of intelligent agriculture solutions. The region is also witnessing increasing governmental support for sustainable farming practices, further enhancing market growth. Additionally, the region is expected to maintain a strong CAGR of around 8% during the forecast period, reflecting the continued demand for advanced farming technologies.

Europe follows North America, holding around 30% of the global market share, driven by a growing emphasis on sustainability and environmental protection in agriculture. Countries like Germany, the Netherlands, and France are at the forefront of adopting intelligent agriculture technologies, with governments actively promoting initiatives to encourage innovation in farming practices. The rising awareness of climate change and its impact on agriculture has led to a greater investment in research and development for sustainable solutions. In the Asia Pacific region, which accounts for approximately 25% of the market, countries like China and India are experiencing rapid growth in the adoption of smart farming technologies, driven by the need to enhance food security and efficiency in agricultural practices. As technology becomes more integrated into farming operations, the Asia Pacific region is expected to witness a CAGR of approximately 9% during the forecast period, reflecting the growing significance of intelligent agriculture in addressing regional challenges.

Opportunities

The Intelligent Agriculture Market is ripe with opportunities, particularly as the agricultural sector seeks to address pressing challenges such as food security, resource scarcity, and climate change. The growing trend towards urbanization presents a unique opportunity for innovative agricultural solutions, such as vertical farming and smart greenhouses, which can produce food in urban areas while minimizing transportation-related emissions. Additionally, as consumers increasingly demand transparency in food production, there is an opportunity for technology providers to develop solutions that facilitate traceability and sustainability in the food supply chain. By harnessing data analytics and IoT technologies, farmers can optimize their operations while meeting consumer expectations for ethically-produced products. Collaboration between agri-tech startups and established agricultural firms can further fuel innovation and create tailored solutions that address specific regional needs in diverse agricultural markets.

Moreover, government initiatives and funding programs aimed at promoting sustainable agricultural practices are creating avenues for growth in the Intelligent Agriculture Market. As policymakers recognize the importance of technological adoption in achieving sustainability goals, they are increasingly investing in research, development, and subsidies for farmers. This support can help reduce the financial barriers associated with adopting advanced technologies, particularly for small and medium-sized farms. Additionally, the increasing availability of affordable sensors and data analytics tools is making it easier for farmers to implement intelligent agriculture practices. As the market continues to evolve, the confluence of technological advancements, government support, and growing consumer awareness will generate myriad opportunities for stakeholders across the agricultural value chain.

Threats

Despite the promising outlook for the Intelligent Agriculture Market, several threats could hinder its growth. One of the most significant challenges is the digital divide between developed and developing regions, where access to technology and resources may be limited. Farmers in less developed areas may struggle to implement advanced agricultural technologies due to financial constraints and a lack of infrastructure. This disparity could lead to an unequal distribution of benefits from intelligent agriculture, potentially exacerbating existing inequalities within the agricultural sector. Furthermore, the rapid pace of technological advancement can result in a steep learning curve for farmers who are not accustomed to digital tools, leading to resistance to change and reluctance to adopt new practices.

Another threat is the potential for cybersecurity risks associated with the increasing reliance on connected devices and data-driven technologies in agriculture. As farmers adopt IoT devices and cloud-based solutions, they may be exposed to cyberattacks that could compromise sensitive operational data, disrupt farming activities, and lead to significant financial losses. Additionally, the growing concern over data privacy raises questions about how farmers' information is collected, used, and shared, which could deter them from fully embracing intelligent agriculture solutions. Lastly, fluctuating commodity prices and market volatility can pose financial risks for farmers, making it challenging for them to invest in new technologies. These threats must be addressed through proper education, support, and regulatory measures to ensure the sustainable growth of the intelligent agriculture market.

Competitor Outlook

• John Deere
• Trimble Inc.
• AG Leader Technology
• AG Leader Technology
• PrecisionHawk
• Raven Industries
• Topcon Positioning Systems
• Parrot Drones
• Climate Corporation
• Netafim
• DeLaval
• CropX
• FarmLogs
• Sentera
• Granular

The competitive landscape of the Intelligent Agriculture Market is characterized by a diverse range of players, including established technology providers, innovative startups, and traditional agricultural firms integrating advanced technologies into their operations. As the market continues to evolve, companies are increasingly focusing on developing comprehensive solutions that address the various needs of farmers. This includes offering a combination of hardware, software, and services tailored to enhance productivity, sustainability, and efficiency in agricultural practices. Strategic partnerships and collaborations are becoming common as companies seek to leverage each other's strengths and expand their market presence.

Major players in the market, such as John Deere and Trimble Inc., have established themselves as leaders by offering a wide array of precision farming technologies, including GPS guidance systems, farm management software, and advanced analytics solutions. These companies continue to invest in research and development, focusing on innovative technologies that can transform traditional farming practices. Additionally, startups like CropX and FarmLogs are gaining traction by providing specialized solutions that cater to the unique challenges faced by farmers. These companies often emphasize user-friendly interfaces and affordable pricing models to ensure accessibility for small and medium-sized farms.

Another noteworthy aspect of the competitive landscape is the shift towards sustainability and environmentally-friendly practices, with companies recognizing the need to address climate change and resource scarcity. Firms like Netafim and Climate Corporation are pioneering the development of smart irrigation and data-driven agricultural solutions that promote sustainable farming practices. As consumer preferences shift towards environmentally conscious products, companies that prioritize sustainability are likely to gain a competitive advantage. Overall, the Intelligent Agriculture Market is dynamic and rapidly evolving, with a growing emphasis on technological innovation, sustainability, and farmer-centric solutions.

• 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 CropX
    • 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 DeLaval
    • 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 Netafim
    • 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 Sentera
    • 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 FarmLogs
    • 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 Granular
    • 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 John Deere
    • 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 Trimble Inc.
    • 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 Parrot Drones
    • 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 PrecisionHawk
    • 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 Raven Industries
    • 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 Climate Corporation
    • 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 AG Leader Technology
    • 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 Topcon Positioning Systems
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Intelligent Agriculture Market, By Offering
    • 6.1.1 Hardware
    • 6.1.2 Software
    • 6.1.3 Services
  • 6.2 Intelligent Agriculture Market, By Farm Size
    • 6.2.1 Small-Scale Farms
    • 6.2.2 Medium-Scale Farms
    • 6.2.3 Large-Scale Farms
  • 6.3 Intelligent Agriculture Market, By Technology
    • 6.3.1 Precision Farming
    • 6.3.2 Livestock Monitoring
    • 6.3.3 Smart Greenhouse
    • 6.3.4 Agricultural Drones
    • 6.3.5 Automated Irrigation Systems
  • 6.4 Intelligent Agriculture Market, By Application
    • 6.4.1 Precision Crop Farming
    • 6.4.2 Livestock Monitoring
    • 6.4.3 Smart Greenhouse Management
    • 6.4.4 Others

• 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 Intelligent Agriculture 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 Intelligent Agriculture market is categorized based on

By Technology

• Precision Farming
• Livestock Monitoring
• Smart Greenhouse
• Agricultural Drones
• Automated Irrigation Systems

By Application

• Precision Crop Farming
• Livestock Monitoring
• Smart Greenhouse Management
• Others

By Farm Size

• Small-Scale Farms
• Medium-Scale Farms
• Large-Scale Farms

By Offering

• Hardware
• Software
• Services

By Region

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

Key Players

• John Deere
• Trimble Inc.
• AG Leader Technology
• AG Leader Technology
• PrecisionHawk
• Raven Industries
• Topcon Positioning Systems
• Parrot Drones
• Climate Corporation
• Netafim
• DeLaval
• CropX
• FarmLogs
• Sentera
• Granular