农业技术转型评估：进展、成就和未来前景评估（2010-2020 年和 2020-2030 年）

本报告评估了2020年至2025年的农业技术，并预测了2026年至2035年的发展趋势。报告涵盖了作物生产、畜牧养殖、水产养殖和林业等领域的进展，并深入分析了精密农业、智慧畜牧管理和人工智慧解决方案等技术如何变革农业实践。

市场概览

过去十年，在精密农业、智慧畜牧管理和永续实践的推动下，农业技术转型评估市场经历了快速成长和创新。人工智慧、物联网和自动化等技术正在彻底改变作物生产、畜牧管理和水产养殖的运作方式。这种变革不仅提高了生产力，还透过优化资源利用、减少废弃物和提高效率，促进了环境永续性。儘管面临气候变迁、资源枯竭和劳动力短缺等挑战，全球粮食需求仍在持续成长，农业技术领域在应对这些问题方面可以发挥关键作用。随着大量投资涌入作物遗传学、永续饲料解决方案和先进农业设备等领域，该产业蓄势待发，即将迎来持续扩张和转型，为创新和成长提供了丰富的机会。

对产业的影响

农业技术的引进彻底改变了作物生产、畜牧管理、水产养殖和林业。在作物生产方面，精密农业工具提高了产量并减少了投入浪费。在畜牧管理方面，自动化监测系统用于改善牲畜的健康状况和生产力。在水产养殖方面，先进的感测器和数据分析技术用于高效的饲料投放和水质管理。在林业方面，遥感探测和地理资讯系统（GIS）技术优化了作业流程并促进了永续森林管理。这些进步正在各个领域提高生产力、资源利用效率和环境永续性。采用先进技术对于满足全球粮食需求以及应对气候变迁和资源枯竭等挑战至关重要。

市场挑战

在农业技术领域，许多障碍阻碍了先进解决方案的广泛应用。主要挑战包括：诸如自主农业机械、人工智慧驱动系统和精准感测器等最尖端科技的高昂初始成本，使得小规模农户难以负担。此外，许多农村地区基础设施匮乏，例如网路接入有限、电力供应不稳定，这些都阻碍了数位化工具的有效应用。同时，知识鸿沟也十分显着，许多农民缺乏操作先进系统所需的技术专长和训练。此外，可扩展扩充性问题也日益凸显，因为为大规模商业农场开发的技术未必适用于小规模经营。而且，对资料隐私的担忧以及平台间缺乏标准化也导致人们对采用物联网和人工智慧解决方案持谨慎态度。克服这些挑战需要策略性投资、政策支援和量身定制的教育计划，以确保所有农民都能从农业技术中受益。

对未来的影响

根据《农业技术转型评估报告》，2026年至2035年农业技术市场前景广阔，主要得益于数位农业、人工智慧融合和永续性领域的快速发展。精密农业、自主农业机械和物联网感测器等技术将持续演进，帮助农民优化资源利用、提高生产力并减少环境影响。预计新兴地区的农业技术转型评估市场将显着成长，这些地区将受益于更完善的数位基础设施和政府奖励，从而促进这些技术的应用。此外，人工智慧驱动的作物监测解决方案、智慧畜牧饲餵系统和水产养殖水质感测器将成为农业管理的关键要素，进而提高决策效率并提升整体农场管理水准。永续性仍将是重中之重，市场对气候友善农业、生物基产品和替代蛋白的需求将持续成长。随着农业从业人员向技术型岗位转型，业界也将迎来数位素养的提升和相关培训计画的增加，以支持技术的普及应用。

这份报告将为贵组织带来哪些价值？

产品与创新策略：农业技术领域的产品与创新策略应聚焦于三大核心支柱：创新主导的效率、永续性和扩充性。此策略优先开发能够满足不同农业部门特定需求的解决方案，确保其具有适应性、成本效益，并能被各种规模的农民所采用。这为塑造农业转型，使其朝着技术主导的永续性发展的各种方法和创新提供了宝贵的见解。对农业技术转型进行全面评估，有助于相关人员评估实施智慧农业解决方案所面临的挑战和机会。此类评估使政策制定者、农产品和农民能够了解向支持高效资源利用、减少排放和提高作物产量的技术转型所带来的环境、经济和营运影响。

成长与行销策略：农业技术转型评估的成长与行销策略应着重于提高公众认知度、加速技术应用，并拓展解决方案以满足农业领域不断变化的需求。该策略应以打造强大的价值主张为基础，透过精准的市场区隔、充分利用伙伴关係关係以及数据驱动的行销，为小规模农户和大型农业企业创造提案。随着主要企业将评估结果作为产品创新、市场拓展和策略联盟的指南，向先进农业技术的转型正在推动该产业的成长。企业正日益重视技术整合的全面评估，以支持永续性目标、提高效率并确保合规性。与技术提供者和研究机构伙伴关係、开展合作以及成立合资企业，使企业能够实施从精密农业和人工智慧分析到自动化机械等一系列前沿解决方案。

竞争策略：农业技术转型评估提供详尽的智慧农业分析，重点在于各领域的独特挑战和机会。这些评估对农业技术转型评估市场中的各项技术进行全面的比较分析。相关人员可以透过评估基础建设、监管环境和技术采纳率等因素，清晰了解竞争格局。这有助于农产品企业、政策制定者和投资者做出明智的决策，从而确定战略成长领域，响应全球永续性目标，并适应快速发展的农业技术转型评估市场。

调查方法

初步调查

一级资讯来源包括农业技术转型评估市场的产业专家和生态系统内的各类相关人员。本研究的定性和定量数据均透过对执行长、副总裁、市场总监以及技术和创新总监等受访者的访谈收集和检验。

从原始资料中获得的主要资料点包括以下几点：

• 检验所有数值资料和图表，并进行三角测量。
• 报告细分及关键定性发现的检验
• 了解竞争格局
• 对每种市场类型的市场数据检验
• 各市场在区域分析的百分比

第二次调查

本研究利用广泛的二手资料、名录、公司网站和年度报告，对农业技术转型评估进行了深入研究。此外，它还利用了Hoovers、Bloomberg、Businessweek和Factiva等资料库，收集有用且有效的信息，从而对全球农业技术转型评估市场进行全面的技术、市场和商业性分析。除上述资料来源外，本研究也使用了其他资料来源和网站，包括美国农业部（USDA）、联合国粮食及农业组织（FAO）和经济合作暨发展组织（OECD）的网站。

第二阶段的研究旨在获取有关该行业价值链、收入模式、市场现金流量、主要参与者总数以及当前和未来用例和应用的关键资讯。

从二次调查中获得的主要资料点包括以下几点：

• 细分与共享
• 市场价值数据
• 市场主要企业的关键产业趋势
• 对市场各个面向、关键趋势和新兴创新领域的定性分析。
• 用于数学和统计计算的定量数据

目录

执行摘要

第一章：现况：2020-2025年

• 作物生产技术发展
  • 精密农业和智慧农业
  • 作物遗传学和生物技术创新
  • 将物联网和人工智慧应用于作物管理
  • 永续作物保护解决方案
  • 主要技术的全球采用率和技术渗透率（%）
• 畜牧技术
  • 智慧动物健康监测
  • 精准畜牧业
  • 动物遗传育种的进展
  • 畜牧设施自动化
  • 主要技术的全球采用率和技术渗透率（%）
• 水产养殖技术的进步
  • 物联网和人工智慧在水产养殖管理的应用
  • 永续饲料和营养方面的创新
  • 育种技术创新
  • 环境监控与控制系统
  • 主要技术的全球采用率和技术渗透率（%）
• 林业科技发展趋势
  • 精准林业和数据驱动管理
  • 无人机和航空影像应用
  • 森林资源调查与管理软体
  • 先进的收穫与加工技术
  • 主要技术的采用率和渗透率（%）

第二章 成果与影响：案例研究

• 提高作物产量
  • 你好，拖拉机－非洲小规模农场的机械化
  • ADPC 和 Cropin—南亚气候变迁顾问
• 提高畜牧业生产力
  • Stellapps－印度乳製品供应链数位化
  • CowTribe－加纳的最后一公里兽医服务
• 效率提升
  • Aquaconnect－利用人工智慧（AI）支持印度虾农
  • 世界鱼类中心赠品－小规模农户的快速生长吴郭鱼
• 永续森林管理实践
  • 社区林业特许经营权 - 危地马拉玛雅生物圈保护区
  • 十亿棵树海啸——巴基斯坦的大规模植树造林
• 经济和环境影响
  • FMNR 绿化－尼日尔农民管理的自然恢復
  • 林业革命－哥伦比亚的永续畜牧业

第三章：未来展望与新趋势（2026-2035年）

• 作物生产：新兴技术
  • 基因编辑和CRISPR
  • 垂直农业和都市农业
  • 具有气候意识的再生农业
  • 利用区块链技术提高农业供应链的透明度
• 畜牧业与动物性蛋白质：新兴技术
  • 培养肉和替代蛋白质
  • 人工智慧和巨量资料分析
  • 先进的生物感测器和穿戴式设备
  • 永续畜牧养殖方法
• 水产养殖：新兴技术
  • 循环水产养殖系统（RAS）
  • 植物育种中的基因组创新
  • 开发永续水产饲料
  • 先进的水处理和自动化
• 林业与气候技术：新兴技术
  • 碳封存与气候变迁减缓
  • 先进的遥感探测技术
  • 林业自动化
  • 木材和生医材料的永续生产

第四章 比较分析：现在与未来

• 作物生产技术进步
• 畜牧业创新
• 水产养殖业的进展
• 林业科技的演变

第五章 投资环境

• 投资环境
  • 全球资金筹措概览
  • 整体市场规模和成长预测
  • 按行业分類的投资明细
  • 区域投资分配
• 主要投资领域
  • 精密农业技术
  • 农业机器人与自动化
  • 数位农业平台
  • 生物技术与基因编辑
  • 永续农业解决方案
• 投资者类型及参与方式
  • 创业投资公司
  • 企业创业投资
  • 私募股权参与

第六章：挑战与机会

• 科技采纳的障碍与机会
  • 农作物生产
  • 家畜
  • 水产养殖
  • 林业
• 监管和政策环境

第七章 建议和结论

• 为相关人员的策略建议
• 未来十年的展望

第八章：调查方法

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Agriculture Technology Transition Assessment Market Overview

The report assesses agricultural technologies from 2020 to 2025 and projects developments for 2026 to 2035. It covers advancements across crop production, livestock, aquaculture, and forestry. It provides insights into how technologies like precision farming, smart livestock management, and AI-driven solutions are reshaping agricultural practices.

Market Introduction

The agriculture technology transition assessment market has experienced rapid growth and innovation over the past decade, driven by advancements in precision farming, smart livestock management, and sustainable practices. Technologies such as AI, IoT, and automation are revolutionizing how crops are produced, livestock is managed, and aquaculture operations are run. This shift has not only increased productivity but also promoted environmental sustainability by optimizing resource use, reducing waste, and improving efficiency. As the global demand for food continues to rise amid challenges like climate change, resource scarcity, and labor shortages, the agriculture technology sector is positioned to play a crucial role in addressing these issues. With significant investments pouring into areas like crop genetics, sustainable feed solutions, and advanced farming equipment, the sector is poised for continued expansion and transformation, offering a wealth of opportunities for innovation and growth.

Industrial Impact

Technology adoption in agriculture has revolutionized crop production, livestock management, aquaculture, and forestry. In crop production, precision farming tools enhance yields and reduce input wastage. Livestock management benefits from automated monitoring systems, improving animal health and productivity. Aquaculture utilizes advanced sensors and data analytics for efficient feeding and water quality management. Forestry operations are optimized with remote sensing and GIS technologies, aiding in sustainable forest management. These advancements lead to increased productivity, resource efficiency, and environmental sustainability across all sectors. Technology adoption is crucial for meeting global food demand and addressing challenges such as climate change and resource scarcity.

Market Challenges

The agricultural technology sector has encountered several hurdles that impede the widespread adoption of advanced solutions. Key challenges include the high upfront costs associated with cutting-edge technologies such as autonomous machinery, AI-driven systems, and precision sensors, which make them inaccessible to small-scale farmers. In addition, many rural areas lack adequate infrastructure, including limited internet connectivity and unreliable electricity, which impedes the effective implementation of digital tools. There is also a significant knowledge gap, as many farmers lack the technical expertise or training to operate advanced systems. Furthermore, scalability issues exist, as technologies developed for large commercial farms are not always suitable for smaller operations. Additionally, data privacy concerns and the lack of standardization across platforms have led to reluctance to adopt IoT-based and AI-powered solutions. Overcoming these challenges will require strategic investments, policy support, and tailored educational programs to ensure that the benefits of agricultural technology are accessible to all farmers.

Future Impact

The agriculture technology transition assessment report suggests that the future of the agricultural technology market from 2026 to 2035 looks promising, driven by rapid advancements in digital farming, AI integration, and sustainability. Technologies such as precision agriculture, autonomous machinery, and IoT sensors will continue to evolve, enabling farmers to optimize resource use, increase productivity, and reduce environmental impact. The agriculture technology transition assessment market is expected to witness significant growth in emerging regions, where improvements in digital infrastructure and government incentives will facilitate the adoption of these technologies. Additionally, AI-driven crop-monitoring solutions, smart feeding systems for livestock, and water-quality sensors for aquaculture will become integral to farming operations, streamlining decision-making and enhancing overall farm management. Sustainability will remain at the forefront, with growing demand for climate-smart agriculture, bio-based products, and alternative proteins. As the agricultural workforce evolves toward tech-savvy roles, the industry will also witness an increase in digital literacy and training programs to support adoption.

How can this report add value to an organization?

Product/Innovation Strategy: The product/innovation strategy for agriculture technology should focus on three core pillars, i.e., innovation-driven efficiency, sustainability, and scalability. The strategy should prioritize developing solutions that address the specific needs of the diverse agricultural sector, ensuring that they are adaptable, cost-effective, and accessible to farmers of all scales. This provides valuable insights into the methods and innovations shaping agriculture's shift toward technology-driven sustainability. By conducting a thorough agriculture technology transition assessment, stakeholders can evaluate the challenges and opportunities that come with adopting smart agriculture solutions. Such an assessment enables policymakers, agribusinesses, and farmers to understand the environmental, economic, and operational impacts of transitioning to technologies that support efficient resource use, reduce emissions, and enhance crop yields.

Growth/Marketing Strategy: A growth/marketing strategy for agricultural technology transition assessment should focus on building awareness, driving adoption, and scaling solutions to meet the evolving needs of the agriculture sector. The strategy should be rooted in targeting the right market segments, leveraging partnerships, and utilizing data-driven marketing to create a strong value proposition for both smallholder farmers and large-scale agricultural enterprises. The transition to advanced agriculture technology has led to developments in the sector, as key players utilize assessments to guide product innovation, market expansion, and strategic alliances. Companies have increasingly conducted thorough assessments of technology integration to meet sustainability goals, enhance efficiency, and support regulatory compliance. Partnerships, collaborations, and joint ventures with technology providers and research institutions enable firms to implement cutting-edge solutions, from precision farming and AI-driven analytics to automated machinery.

Competitive Strategy: The agriculture technology transition assessment provides an in-depth smart agriculture analysis, highlighting the unique challenges and opportunities in each area. This assessment offers a comprehensive comparative analysis of the technologies in the agriculture technology transition assessment market. Stakeholders gain a clear perspective on the competitive landscape by evaluating factors such as infrastructure readiness, regulatory frameworks, and technology adoption rates. This enables agribusinesses, policymakers, and investors to identify strategic areas for growth, align with global sustainability goals, and make informed decisions in adapting to a rapidly evolving agriculture technology transition assessment market.

Research Methodology

Primary Research

The primary sources involve industry experts from the agriculture technology transition assessment market and various stakeholders in the ecosystem. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources include:

• validation and triangulation of all the numbers and graphs
• validation of report segmentation and key qualitative findings
• understanding the competitive landscape
• validation of the numbers of various markets for the market type
• percentage split of individual markets for geographical analysis

Secondary Research

This agriculture technology transition assessment research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global agriculture technology transition assessment market. In addition to the data sources, the study has been undertaken with the help of other data sources and websites, such as the U.S. Department of Agriculture (USDA), Food and Agriculture Organization (FAO), and Organisation for Economic Co-operation and Development (OECD).

Secondary research was done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

• segmentations and percentage shares
• data for market value
• key industry trends of the top players of the market
• qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
• quantitative data for mathematical and statistical calculations

Table of Contents

Executive Summary

Scope and Definition

1 Current State: 2020-2025

• 1.1 Technological Developments in Crop Production
  • 1.1.1 Precision Agriculture and Smart Farming
  • 1.1.2 Innovations in Crop Genetics and Biotechnology
  • 1.1.3 Integration of IoT and AI in Crop Management
  • 1.1.4 Sustainable Crop Protection Solutions
  • 1.1.5 Global Adoption Rates and Technology Penetration (%) for Key Technologies
• 1.2 Livestock Production Technologies
  • 1.2.1 Smart Animal Health Monitoring
  • 1.2.2 Precision Livestock Farming
  • 1.2.3 Advances in Livestock Genetics and Breeding
  • 1.2.4 Automation in Livestock Facilities
  • 1.2.5 Global Adoption Rates and Technology Penetration (%) for Key Technologies
• 1.3 Advances in Aquaculture Technologies
  • 1.3.1 IoT and AI in Aquaculture Management
  • 1.3.2 Sustainable Feed and Nutrition Innovations
  • 1.3.3 Innovation in Breeding Techniques
  • 1.3.4 Environmental Monitoring and Control Systems
  • 1.3.5 Global Adoption Rates and Technology Penetration (%) for Key Technologies
• 1.4 Forestry Technology Trends
  • 1.4.1 Precision Forestry and Data-Driven Management
  • 1.4.2 Drones and Aerial Imaging Applications
  • 1.4.3 Forest Inventory and Management Software
  • 1.4.4 Advanced Harvesting and Processing Technologies
  • 1.4.5 Adoption Rates and Technology Penetration (%) for Key Technologies

2 Achievements and Impact: Case Study

• 2.1 Crop Yield Improvements
  • 2.1.1 Hello Tractor - Mechanizing Small Farms in Africa
  • 2.1.2 ADPC & Cropin - Climate Smart Advisory in South Asia
• 2.2 Enhanced Livestock Productivity
  • 2.2.1 Stellapps - Digitizing India's Dairy Supply Chain
  • 2.2.2 CowTribe - Last-Mile Veterinary Services in Ghana
• 2.3 Advances Efficiency Gains
  • 2.3.1 Aquaconnect - Artificial Intelligence (AI) Empowering Shrimp Farmers in India
  • 2.3.2 WorldFish GIFT- Fast-Growing Tilapia for Small Farmers
• 2.4 Sustainable Forestry Practices
  • 2.4.1 Community Forestry Concessions - Maya Biosphere, Guatemala
  • 2.4.2 Billion Tree Tsunami - Massive Afforestation in Pakistan
• 2.5 Economic and Environmental Impact
  • 2.5.1 FMNR Regreening - Farmer-Managed Natural Regeneration in Niger
  • 2.5.2 Silvopastoral Revolution - Sustainable Cattle Ranching in Colombia

3 Future Prospects and Emerging Trends, 2026-2035

• 3.1 Crop Production: Emerging Technologies
  • 3.1.1 Gene Editing and CRISPR
  • 3.1.2 Vertical Farming and Urban Agriculture
  • 3.1.3 Climate-Smart and Regenerative Agriculture
  • 3.1.4 Blockchain for Agri Supply Chain Transparency
• 3.2 Livestock and Animal Protein: Emergin Technologies
  • 3.2.1 Lab-Grown Meat and Alternative Proteins
  • 3.2.2 AI and Big Data Analytics
  • 3.2.3 Advanced Biosensors and Wearables
  • 3.2.4 Sustainable Animal Husbandry Practices
• 3.3 Aquaculture: Emerging Technologies
  • 3.3.1 Recirculating Aquaculture Systems (RAS)
  • 3.3.2 Genomic Innovations in Breeding
  • 3.3.3 Sustainable Aquafeed Development
  • 3.3.4 Advanced Water Treatment and Automation
• 3.4 Forestry and Climate Tech: Emerging Technology
  • 3.4.1 Carbon Sequestration and Climate Change Mitigation
  • 3.4.2 Advanced Remote Sensing Technologies
  • 3.4.3 Automation in Forestry Operations
  • 3.4.4 Sustainable Timber and Biomaterials Production

4 Comparative Analysis: Current Vs Future

• 4.1 Technological Progress in Crop Production
• 4.2 Innovations in Livestock Production
• 4.3 Advancements in Aquaculture
• 4.4 Evolution of Forestry Technology

5 Investment Environment

• 5.1 Investment Environment
  • 5.1.1 Global Funding Overview
  • 5.1.2 Total Market Size and Growth Projections
  • 5.1.3 Investment by Sector Breakdown
  • 5.1.4 Regional Investment Distribution
• 5.2 Key Investment Areas
  • 5.2.1 Precision Agriculture Technologies
  • 5.2.2 Agricultural Robotics and Automation
  • 5.2.3 Digital Agriculture Platforms
  • 5.2.4 Biotechnology and Gene Editing
  • 5.2.5 Sustainable Agriculture Solutions
• 5.3 Investor Types and Participation
  • 5.3.1 Venture Capital Firms
  • 5.3.2 Corporate Venture Capital
  • 5.3.3 Private Equity Participation

6 Challenges and Opportunities

• 6.1 Barriers and Opportunities to Technology Adoption
  • 6.1.1 Crop Production
  • 6.1.2 Livestock
  • 6.1.3 Aquaculture
  • 6.1.4 Foresty
• 6.2 Regulatory and Policy Landscape

7 Recommendation and Conclusion

• 7.1 Strategic Recommendation for Agribusiness Players
• 7.2 Outlook for the Next Decade

8 Research Methodology

• 8.1 Data Sources
  • 8.1.1 Primary Data Sources
  • 8.1.2 Secondary Data Sources

List of Figures

• Figure 1: Global Investments in Livestock Production Technologies, 2020-2025
• Figure 2: Global Investments in Aquaculture Technologies, 2020-2024
• Figure 3: Global Investments in Forestry Technology, 2020-2024
• Figure 4: Global AgriTech Funding, $Billion, 2020-2024
• Figure 5: Global AgriTech Market, 2024-2035, $Billion
• Figure 6: Global Agritech Funding, by Region, 2024
• Figure 7: Agriculture Technology Transition Assessment: Focus on Technology Development and Adoption (2020-2035): Research Methodology

List of Tables

• Table 1: Notable Investment in Precision Agriculture, 2020-2025
• Table 2: Notable Investments in Crop Genetics and Biotechnology, 2020-2025
• Table 3: Notable Investments in IoT and AI for Crop Management, 2020-2025
• Table 4: Notable Investments in Sustainable Crop Protection, 2020-2025
• Table 5: Notable Investments in Smart Animal Health Monitoring, 2020-2025
• Table 6: Notable Investments in Precision Livestock Farming, 2020-2025
• Table 7: Notable Investments in Livestock Genetics and Breeding, 2020-2025
• Table 8: Notable Investments in Automation for Livestock Facilities, 2020-2025
• Table 9: Notable Investments in IoT/AI Aquaculture Management, 2020-2025
• Table 10: Notable Investments in Sustainable Aquaculture Feed, 2020-2025
• Table 11: Notable Investments in Breeding Techniques, 2020-2025
• Table 12: Notable Investments in Environmental Monitoring and Control Systems, 2020-2025
• Table 13: Notable Investments in Precision Forestry, 2020-2025
• Table 14: Notable Investments in Drones and Aerial Imaging, 2020-2025
• Table 15: Notable Investments in Forest Management Software, 2020-2025
• Table 16: Notable Investments in Advanced Harvesting and Processing, 2020-2025
• Table 17: Current and Future Technology Comparison for Crop Production
• Table 18: Current and Future Technology Comparison for Livestock Production
• Table 19: Current and Future Technology Comparison for Aquaculture
• Table 20: Current and Future Technology Comparison for Forestry Technology
• Table 21: List of Prominent Venture Capital Firms in AgriTech
• Table 22: List of Prominent Corporate Venture Capital Firms in AgriTech
• Table 23: List of Prominent Private Equity Participation in AgriTech
• Table 24: Key Regulations and Policies