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Smart Harvest Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Site of Operation (On Field, Controlled Environment), By Crop Type (Grain Crops, Fruits and Vegetables, Others), By Product (Robotic Harvester, Smart Harvester, Harvest Dynamic Monitoring), By Region and Competition, 2019-2029F

September 2024 | 185 pages | ID: SB53D6A37260EN
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Global Smart Harvest Market was valued at USD 4.78 Billion in 2023 and is expected to reach USD 7.84 Billion by 2029 with a CAGR of 8.76% during the forecast period. The Global Smart Harvest Market is rapidly evolving, driven by advancements in technology and increasing demand for efficient agricultural practices. This market encompasses a range of innovative solutions designed to optimize harvesting processes, including autonomous machinery, sensors, and data analytics. These technologies aim to enhance productivity, reduce labor costs, and minimize crop losses by providing real-time insights and automated harvesting capabilities. Autonomous harvesters, which utilize artificial intelligence and machine learning, are at the forefront of this market. These machines can identify ripe crops with high precision, ensuring timely and efficient harvesting. Integration of sensors and IoT (Internet of Things) devices allows for continuous monitoring of crop conditions and field environments, enabling farmers to make informed decisions and respond swiftly to changing conditions.

Data analytics plays a crucial role in the Global Smart Harvest Market, offering predictive insights that help in planning and optimizing harvest schedules. By analyzing data from various sources, including weather patterns and soil conditions, farmers can improve crop yield and quality. The market is also supported by growing investments in research and development, aimed at enhancing the capabilities and affordability of smart harvesting technologies. Government initiatives and subsidies are further boosting market growth by promoting the adoption of advanced agricultural practices. The Global Smart Harvest Market is set to experience significant growth as it addresses key challenges in agriculture, including labor shortages and the need for increased efficiency. The continuous evolution of technology and increasing adoption of smart harvesting solutions are expected to drive the market forward, contributing to the modernization of the agricultural sector.

Key Market Drivers

Technological Advancements

Technological advancements are a pivotal driver of the Global Smart Harvest Market. The integration of cutting-edge technologies such as autonomous harvesting machinery, robotics, and artificial intelligence (AI) is fundamentally transforming traditional harvesting practices. Autonomous harvesters, which leverage advanced sensors and machine learning algorithms, represent a significant leap forward. These machines can perform complex tasks with remarkable precision and efficiency, minimizing the need for manual labor and reducing operational costs. Autonomous harvesters are equipped with sophisticated sensors that provide real-time data on crop conditions, enabling the machinery to make informed decisions about the optimal time for harvesting. This capability ensures that crops are harvested at their peak quality, thereby maximizing yield and minimizing waste. The application of AI and machine learning further enhances these systems by allowing them to adapt to varying crop types and environmental conditions, leading to more accurate and efficient harvesting processes.

In addition to autonomous harvesters, the Global Smart Harvest Market is being propelled by advancements in GPS systems, computer vision, and data analytics. Modern GPS technology provides precise location data, which, when combined with computer vision, allows for detailed analysis of crop health and development. This integration facilitates better planning and execution of harvesting activities, ensuring that resources are used optimally and that the quality of the harvest is consistently high.

Data analytics plays a crucial role in interpreting the vast amounts of information collected by these technologies. By analyzing trends and patterns, data analytics can predict future crop conditions and help in strategizing harvesting schedules. As these technologies continue to evolve and become more cost-effective, their adoption is expected to broaden across various agricultural sectors. The continuous innovation and reduction in costs associated with these smart harvesting solutions are driving the expansion of the Global Smart Harvest Market, as more growers seek to leverage these advancements to enhance productivity and profitability.

Increasing Demand for Efficient Agriculture

The escalating global demand for efficient agricultural practices is a significant driver of the Global Smart Harvest Market. Data from the U.S. Department of Agriculture reveals that soybean production in 2023 reached 4.16 billion bushels, a 2 percent decrease from 2022. The average yield per acre increased to 50.6 bushels, up by 1.0 bushel from the previous year. This shift underscores the rising demand for smart harvesting solutions to optimize yield efficiency and address production challenges. With the world’s population steadily increasing, there is an urgent need to enhance agricultural productivity to ensure food security and sustainability. This demand compels farmers and agricultural businesses to seek advanced solutions that can maximize crop yields while minimizing waste and resource use. Smart harvesting technologies are instrumental in meeting these demands by significantly improving the efficiency of harvesting operations. These technologies employ sophisticated systems such as data analytics, real-time monitoring, and advanced sensors to streamline the harvesting process. By providing detailed insights into crop conditions and environmental factors, smart harvesting solutions enable farmers to make well-informed decisions about when and how to harvest. This leads to optimized harvesting times, reduced crop losses, and better management of resources.

The integration of real-time data and analytics allows for precise monitoring of crop health and maturity, ensuring that harvesting is conducted at the optimal time. This precision reduces the likelihood of over-ripening or under-ripening, which can lead to waste and reduced quality. These technologies help in adapting to fluctuating weather conditions and other variables, thereby improving the overall efficiency and resilience of farming operations.

Sustainability is another critical factor driving the adoption of smart harvesting technologies. As the agricultural sector faces increasing pressure to reduce its environmental footprint, efficient practices that minimize waste and enhance resource use are highly sought after. Smart harvesting technologies align with these sustainability goals by reducing the need for excessive labor, lowering fuel consumption, and minimizing the impact on the environment. The combined effects of rising population, the need for sustainable practices, and the drive for operational efficiency are fueling the growth of the Global Smart Harvest Market. As the agricultural sector continues to evolve, the adoption of smart harvesting solutions is expected to expand, further advancing the efficiency and sustainability of global agriculture.

Key Market Challenges

High Initial Costs

One of the most significant challenges facing the Global Smart Harvest Market is the high initial cost of implementing smart harvesting technologies. Advanced systems such as autonomous harvesters, robotics, and sophisticated sensors require substantial investment in both equipment and infrastructure. For many farmers, particularly those operating on a smaller scale, the high capital expenditure can be prohibitive. This initial financial barrier can limit the adoption of smart harvesting technologies and slow market growth. While the long-term benefits, such as increased efficiency and reduced labor costs, can justify the investment, the upfront costs remain a critical obstacle. The need for ongoing maintenance and potential upgrades further adds to the financial burden. Addressing this challenge requires innovative financing solutions, government subsidies, and increased efforts from technology providers to reduce costs and make smart harvesting solutions more accessible to a broader range of agricultural producers.

Technological Complexity and Integration

Technological complexity and integration pose a considerable challenge to the Global Smart Harvest Market. Smart harvesting technologies often involve advanced systems such as AI algorithms, robotics, and IoT devices, which require sophisticated integration and calibration. Farmers and agricultural operators may face difficulties in understanding and effectively utilizing these complex systems, leading to potential inefficiencies or operational issues. Integrating new technologies with existing farming equipment and practices can be challenging and may require significant adjustments. The lack of standardized protocols and compatibility issues between different systems can further complicate integration efforts. To overcome this challenge, there is a need for comprehensive training programs, user-friendly interfaces, and industry-wide standards that facilitate the seamless integration of smart harvesting technologies into existing agricultural operations.

Key Market Trends

Growing Focus on Sustainable Agriculture

The growing focus on sustainable agriculture is a major driver of the Global Smart Harvest Market. Sustainable agricultural practices are designed to reduce environmental impact, conserve resources, and improve soil health, all of which are essential for long-term agricultural productivity and environmental preservation. As the agricultural sector faces increasing pressure to adopt more eco-friendly methods, smart harvesting technologies have emerged as a key solution that aligns with these sustainability objectives. Smart harvesting technologies contribute significantly to sustainable agriculture by enhancing resource efficiency and minimizing waste. For instance, autonomous harvesters are equipped with advanced sensors and machine learning algorithms that enable them to optimize harvesting times. By accurately determining the ideal moment for harvest, these systems prevent the collection of overripe or underripe crops, thereby reducing waste and ensuring that harvested produce meets quality standards. This precision not only enhances the overall yield but also reduces the amount of produce that is discarded or lost due to improper harvesting.

Moreover, real-time data monitoring is a critical component of smart harvesting technologies. By continuously tracking crop conditions and environmental factors, these systems provide farmers with valuable insights that inform their decisions regarding resource usage. For example, data on soil moisture levels can guide the precise application of water, while insights into nutrient requirements can optimize the use of fertilizers. This targeted approach helps in conserving resources and reducing the environmental impact associated with overuse.

The emphasis on sustainability is also reflected in governmental and industry initiatives that promote the adoption of smart harvesting solutions. As sustainability becomes a central focus in agricultural policies and practices, the demand for technologies that support these goals is increasing. Smart harvesting solutions, by improving efficiency and reducing waste, are seen as essential tools in achieving more environmentally friendly and resource-efficient farming practices.

Advancements in Data Analytics

The increased focus on precision agriculture is a major driver for the Global Smart Harvest Market. Precision agriculture is a modern farming approach that utilizes technology to manage variability in crops and field conditions, aiming to optimize farming practices and improve overall efficiency. This approach enhances productivity, resource use, and crop management by integrating advanced technologies that provide precise and actionable data. Smart harvesting technologies are a critical component of precision agriculture. They offer detailed insights and automation capabilities that significantly enhance harvesting operations. For instance, GPS-guided harvesters are equipped with advanced navigation systems that ensure accurate positioning and alignment during the harvesting process. This precision minimizes crop damage and maximizes yield by ensuring that all crops are efficiently and accurately collected.

Real-time monitoring systems further support precision agriculture by providing continuous data on crop conditions and field environments. These systems enable farmers to make informed decisions about the timing and methods of harvesting. By receiving real-time updates on factors such as soil moisture, crop ripeness, and weather conditions, farmers can optimize their harvesting strategies, ensuring that crops are harvested at the ideal moment to achieve the best quality and yield.

The emphasis on precision agriculture also focuses on reducing resource usage and minimizing environmental impact. Smart harvesting technologies contribute to this goal by optimizing the use of inputs such as water, fertilizers, and energy. For example, data-driven insights allow for more targeted application of resources, reducing waste and improving overall sustainability.

As precision agriculture continues to gain traction, the demand for smart harvesting technologies is expected to rise. The ability of these technologies to enhance efficiency, productivity, and resource management aligns with the goals of precision agriculture, driving their adoption across the agricultural sector. The ongoing advancements in smart harvesting solutions will further support the growth of the Global Smart Harvest Market, contributing to more effective and sustainable farming practices.

Segmental Insights

Site of Operation Insights

In 2023, the Controlled Environment segment emerged as the dominated site of operation in the Global Smart Harvest Market. This dominance can be attributed to several key factors. Controlled environments, such as greenhouses and indoor farms, provide optimal conditions for smart harvesting technologies by allowing precise control over variables like temperature, humidity, and light. This precision enables enhanced crop growth and quality, which is critical for maximizing yield and minimizing waste. The ability to implement advanced smart harvesting technologies, such as automated systems and sensors, is significantly higher in controlled environments. These technologies benefit from the stable conditions provided, ensuring consistent performance and accuracy in crop monitoring and harvesting. In contrast, on-field environments present more variability and challenges, including weather fluctuations, pests, and soil conditions, which can affect the efficiency and effectiveness of smart harvesting systems.

Controlled environments facilitate the integration of high-tech solutions and real-time data analytics, which are essential for optimizing harvesting processes and resource use. The growing adoption of controlled environment agriculture reflects the increasing demand for reliable and efficient crop production methods in urban and high-density areas.

Crop Type Insights

In 2023, the Fruits and Vegetables segment emerged as the dominated crop type in the Global Smart Harvest Market. This dominance can be attributed to several compelling factors. Fruits and vegetables, which often require precise harvesting to ensure optimal ripeness and quality, benefit significantly from smart harvesting technologies. These technologies, such as automated harvesters and advanced sensors, are particularly effective for the delicate and varied requirements of fruits and vegetables.

The demand for fruits and vegetables is consistently high due to their essential role in human diets and their high value in markets. As a result, there is a growing emphasis on improving the efficiency and accuracy of harvesting processes for these crops. Smart harvesting technologies are designed to handle the unique challenges associated with fruits and vegetables, such as varying sizes, shapes, and ripeness levels. This ensures that the produce is harvested at its peak quality, reducing waste and maximizing yield.

Regional Insights

In 2023, North America emerged as the dominated region in the Global Smart Harvest Market, holding the largest market share. This dominance is primarily due to several key factors. North America, particularly the United States and Canada, has been at the forefront of adopting and investing in advanced agricultural technologies, including smart harvesting solutions. The region’s strong focus on innovation and technological advancement in agriculture has led to widespread implementation of smart harvesting systems.

One of the major drivers for North America’s dominance is its well-established agricultural infrastructure and the presence of leading technology providers. The region's substantial investments in research and development have facilitated the development and deployment of cutting-edge smart harvesting technologies, such as robotic harvesters and autonomous systems. Favorable government policies and incentives aimed at promoting technological innovation in agriculture have further accelerated the adoption of smart harvesting solutions.The high demand for efficient and precise harvesting methods in North America, driven by both large-scale commercial farming operations and a growing focus on sustainable practices, has also contributed to the region’s leading position.

Key Market Players
  • Agrobot
  • Dogtooth Technologies Limited
  • FFRobotics
  • Harvest CROO Robotics LLC
  • Advanced Farms Technologies, Inc
  • MetoMotion
  • Octinion
  • Mycionics Inc
  • Tortuga Agricultural Technologies, Inc
  • Organifarms GmbH
Report Scope:

In this report, the Global Smart Harvest Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
  • Smart Harvest Market, By Site of Operation:
  • On Field
  • Controlled Environment
  • Smart Harvest Market, By Crop Type :
  • Grain Crops
  • Fruits and Vegetables
  • Others
  • Smart Harvest Market, By Product:
  • Robotic Harvester
  • Smart Harvester
  • Harvest Dynamic Monitoring
  • Smart Harvest Market, By Region:
  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Smart Harvest Market.

Available Customizations:

Global Smart Harvest market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information
  • Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW

1.1. Market Definition
1.2. Scope of the Market
  1.2.1. Markets Covered
  1.2.2. Years Considered for Study
  1.2.3. Key Market Segmentations

2. RESEARCH METHODOLOGY

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations

3. EXECUTIVE SUMMARY

3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, and Trends

4. VOICE OF CUSTOMER

5. GLOBAL SMART HARVEST MARKET OUTLOOK

5.1. Market Size & Forecast
  5.1.1. By Value
5.2. Market Share & Forecast
  5.2.1. By Site of Operation (On Field, Controlled Environment)
  5.2.2. By Crop Type (Grain Crops, Fruits and Vegetables, Others)
  5.2.3. By Product (Robotic Harvester, Smart Harvester, Harvest Dynamic Monitoring)
  5.2.4. By Company (2023)
  5.2.5. By Region
5.3. Market Map

6. NORTH AMERICA SMART HARVEST MARKET OUTLOOK

6.1. Market Size & Forecast
  6.1.1. By Value
6.2. Market Share & Forecast
  6.2.1. By Site of Operation
  6.2.2. By Crop Type
  6.2.3. By Product
  6.2.4. By Country
6.3. North America: Country Analysis
  6.3.1. United States Smart harvest Market Outlook
    6.3.1.1. Market Size & Forecast
      6.3.1.1.1. By Value
    6.3.1.2. Market Share & Forecast
      6.3.1.2.1. By Site of Operation
      6.3.1.2.2. By Crop Type
      6.3.1.2.3. By Product
  6.3.2. Mexico Smart harvest Market Outlook
    6.3.2.1. Market Size & Forecast
      6.3.2.1.1. By Value
    6.3.2.2. Market Share & Forecast
      6.3.2.2.1. By Site of Operation
      6.3.2.2.2. By Crop Type
      6.3.2.2.3. By Product
  6.3.3. Canada Smart harvest Market Outlook
    6.3.3.1. Market Size & Forecast
      6.3.3.1.1. By Value
    6.3.3.2. Market Share & Forecast
      6.3.3.2.1. By Site of Operation
      6.3.3.2.2. By Crop Type
      6.3.3.2.3. By Product

7. EUROPE SMART HARVEST MARKET OUTLOOK

7.1. Market Size & Forecast
  7.1.1. By Value
7.2. Market Share & Forecast
  7.2.1. By Site of Operation
  7.2.2. By Crop Type
  7.2.3. By Product
  7.2.4. By Country
7.3. Europe: Country Analysis
  7.3.1. France Smart harvest Market Outlook
    7.3.1.1. Market Size & Forecast
      7.3.1.1.1. By Value
    7.3.1.2. Market Share & Forecast
      7.3.1.2.1. By Site of Operation
      7.3.1.2.2. By Crop Type
      7.3.1.2.3. By Product
  7.3.2. Germany Smart harvest Market Outlook
    7.3.2.1. Market Size & Forecast
      7.3.2.1.1. By Value
    7.3.2.2. Market Share & Forecast
      7.3.2.2.1. By Site of Operation
      7.3.2.2.2. By Crop Type
      7.3.2.2.3. By Product
  7.3.3. United Kingdom Smart harvest Market Outlook
    7.3.3.1. Market Size & Forecast
      7.3.3.1.1. By Value
    7.3.3.2. Market Share & Forecast
      7.3.3.2.1. By Site of Operation
      7.3.3.2.2. By Crop Type
      7.3.3.2.3. By Product
  7.3.4. Italy Smart harvest Market Outlook
    7.3.4.1. Market Size & Forecast
      7.3.4.1.1. By Value
    7.3.4.2. Market Share & Forecast
      7.3.4.2.1. By Site of Operation
      7.3.4.2.2. By Crop Type
      7.3.4.2.3. By Product
  7.3.5. Spain Smart harvest Market Outlook
    7.3.5.1. Market Size & Forecast
      7.3.5.1.1. By Value
    7.3.5.2. Market Share & Forecast
      7.3.5.2.1. By Site of Operation
      7.3.5.2.2. By Crop Type
      7.3.5.2.3. By Product

8. ASIA-PACIFIC SMART HARVEST MARKET OUTLOOK

8.1. Market Size & Forecast
  8.1.1. By Value
8.2. Market Share & Forecast
  8.2.1. By Site of Operation
  8.2.2. By Crop Type
  8.2.3. By Product
  8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
  8.3.1. China Smart harvest Market Outlook
    8.3.1.1. Market Size & Forecast
      8.3.1.1.1. By Value
    8.3.1.2. Market Share & Forecast
      8.3.1.2.1. By Site of Operation
      8.3.1.2.2. By Crop Type
      8.3.1.2.3. By Product
  8.3.2. India Smart harvest Market Outlook
    8.3.2.1. Market Size & Forecast
      8.3.2.1.1. By Value
    8.3.2.2. Market Share & Forecast
      8.3.2.2.1. By Site of Operation
      8.3.2.2.2. By Crop Type
      8.3.2.2.3. By Product
  8.3.3. South Korea Smart harvest Market Outlook
    8.3.3.1. Market Size & Forecast
      8.3.3.1.1. By Value
    8.3.3.2. Market Share & Forecast
      8.3.3.2.1. By Site of Operation
      8.3.3.2.2. By Crop Type
      8.3.3.2.3. By Product
  8.3.4. Japan Smart harvest Market Outlook
    8.3.4.1. Market Size & Forecast
      8.3.4.1.1. By Value
    8.3.4.2. Market Share & Forecast
      8.3.4.2.1. By Site of Operation
      8.3.4.2.2. By Crop Type
      8.3.4.2.3. By Product
  8.3.5. Australia Smart harvest Market Outlook
    8.3.5.1. Market Size & Forecast
      8.3.5.1.1. By Value
    8.3.5.2. Market Share & Forecast
      8.3.5.2.1. By Site of Operation
      8.3.5.2.2. By Crop Type
      8.3.5.2.3. By Product

9. SOUTH AMERICA SMART HARVEST MARKET OUTLOOK

9.1. Market Size & Forecast
  9.1.1. By Value
9.2. Market Share & Forecast
  9.2.1. By Site of Operation
  9.2.2. By Crop Type
  9.2.3. By Product
  9.2.4. By Country
9.3. South America: Country Analysis
  9.3.1. Brazil Smart harvest Market Outlook
    9.3.1.1. Market Size & Forecast
      9.3.1.1.1. By Value
    9.3.1.2. Market Share & Forecast
      9.3.1.2.1. By Site of Operation
      9.3.1.2.2. By Crop Type
      9.3.1.2.3. By Product
  9.3.2. Argentina Smart harvest Market Outlook
    9.3.2.1. Market Size & Forecast
      9.3.2.1.1. By Value
    9.3.2.2. Market Share & Forecast
      9.3.2.2.1. By Site of Operation
      9.3.2.2.2. By Crop Type
      9.3.2.2.3. By Product
  9.3.3. Colombia Smart harvest Market Outlook
    9.3.3.1. Market Size & Forecast
      9.3.3.1.1. By Value
    9.3.3.2. Market Share & Forecast
      9.3.3.2.1. By Site of Operation
      9.3.3.2.2. By Crop Type
      9.3.3.2.3. By Product

10. MIDDLE EAST AND AFRICA SMART HARVEST MARKET OUTLOOK

10.1. Market Size & Forecast
  10.1.1. By Value
10.2. Market Share & Forecast
  10.2.1. By Site of Operation
  10.2.2. By Crop Type
  10.2.3. By Product
  10.2.4. By Country
10.3. MEA: Country Analysis
  10.3.1. South Africa Smart harvest Market Outlook
    10.3.1.1. Market Size & Forecast
      10.3.1.1.1. By Value
    10.3.1.2. Market Share & Forecast
      10.3.1.2.1. By Site of Operation
      10.3.1.2.2. By Crop Type
      10.3.1.2.3. By Product
  10.3.2. Saudi Arabia Smart harvest Market Outlook
    10.3.2.1. Market Size & Forecast
      10.3.2.1.1. By Value
    10.3.2.2. Market Share & Forecast
      10.3.2.2.1. By Site of Operation
      10.3.2.2.2. By Crop Type
      10.3.2.2.3. By Product
  10.3.3. UAE Smart harvest Market Outlook
    10.3.3.1. Market Size & Forecast
      10.3.3.1.1. By Value
    10.3.3.2. Market Share & Forecast
      10.3.3.2.1. By Site of Operation
      10.3.3.2.2. By Crop Type
      10.3.3.2.3. By Product

11. MARKET DYNAMICS

11.1. Drivers
11.2. Challenges

12. MARKET TRENDS & DEVELOPMENTS

12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments

13. PORTERS FIVE FORCES ANALYSIS

13.1. Competition in the Industry
13.2. Potential of New Entrants
13.3. Power of Suppliers
13.4. Power of Customers
13.5. Threat of Substitute Products

14. COMPETITIVE LANDSCAPE

14.1. Agrobot
  14.1.1. Business Overview
  14.1.2. Company Snapshot
  14.1.3. Products & Services
  14.1.4. Financials (As Reported)
  14.1.5. Recent Developments
  14.1.6. Key Personnel Details
  14.1.7. SWOT Analysis
14.2. Dogtooth Technologies Limited
14.3. FFRobotics
14.4. Harvest CROO Robotics LLC
14.5. Advanced Farms Technologies, Inc
14.6. MetoMotion
14.7. Octinion
14.8. Mycionics Inc
14.9. Tortuga Agricultural Technologies, Inc
14.10. Organifarms GmbH

15. STRATEGIC RECOMMENDATIONS

16. ABOUT US & DISCLAIMER


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