農業技術轉型評估：進展、成就和未來前景評估（2010-2020 年和 2020-2030 年）

本報告評估了2020年至2025年的農業技術，並預測了2026年至2035年的發展趨勢。報告涵蓋了作物生產、畜牧養殖、水產養殖和林業等領域的進展，並深入分析了精密農業、智慧畜牧管理和人工智慧解決方案等技術如何變革農業實踐。

市場概覽

過去十年，在精密農業、智慧畜牧管理和永續實踐的推動下，農業技術轉型評估市場經歷了快速成長和創新。人工智慧、物聯網和自動化等技術正在徹底改變作物生產、畜牧管理和水產養殖的運作方式。這種變革不僅提高了生產力，還透過最佳化資源利用、減少廢棄物和提高效率，促進了環境永續性。儘管面臨氣候變遷、資源枯竭和勞動力短缺等挑戰，全球糧食需求仍在持續成長，農業技術領域在應對這些問題方面可以發揮關鍵作用。隨著大量投資湧入作物遺傳學、永續飼料解決方案和先進農業設備等領域，該產業蓄勢待發，即將迎來持續擴張和轉型，為創新和成長提供了豐富的機會。

對產業的影響

農業技術的引進徹底改變了作物生產、畜牧管理、水產養殖和林業。在作物生產方面，精密農業工具提高了產量並減少了投入浪費。在畜牧管理方面，自動化監測系統用於改善牲畜的健康狀況和生產力。在水產養殖方面，先進的感測器和數據分析技術用於高效的飼料投放和水質管理。在林業方面，遙感探測和地理資訊系統（GIS）技術最佳化了作業流程並促進了永續森林管理。這些進步正在各個領域提高生產力、資源利用效率和環境永續性。採用先進技術對於滿足全球糧食需求以及應對氣候變遷和資源枯竭等挑戰至關重要。

市場挑戰

在農業技術領域，許多障礙阻礙了先進解決方案的廣泛應用。主要挑戰包括：諸如自主農業機械、人工智慧驅動系統和精準感測器等最尖端科技的高昂初始成本，使得小規模農戶難以負擔。此外，許多農村地區基礎設施匱乏，例如網路接入有限、電力供應不穩定，這些都阻礙了數位化工具的有效應用。同時，知識鴻溝也十分顯著，許多農民缺乏操作先進系統所需的技術專長和訓練。此外，可擴展擴充性問題也日益凸顯，因為為大規模商業農場開發的技術未必適用於小規模經營。而且，對資料隱私的擔憂以及平台間缺乏標準化也導致人們對採用物聯網和人工智慧解決方案持謹慎態度。克服這些挑戰需要策略性投資、政策支援和量身定做的教育計劃，以確保所有農民都能從農業技術中受益。

對未來的影響

根據《農業技術轉型評估報告》，2026年至2035年農業技術市場前景廣闊，主要得益於數位農業、人工智慧融合和永續性領域的快速發展。精密農業、自主農業機械和物聯網感測器等技術將持續演進，幫助農民最佳化資源利用、提高生產力並減少環境影響。預計新興地區的農業技術轉型評估市場將顯著成長，這些地區將受益於更完善的數位基礎設施和政府獎勵，從而促進這些技術的應用。此外，人工智慧驅動的作物監測解決方案、智慧畜牧飼餵系統和水產養殖水質感測器將成為農業管理的關鍵要素，進而提高決策效率並提升整體農場管理水準。永續性仍將是重中之重，市場對氣候友善農業、生物基產品和替代蛋白的需求將持續成長。隨著農業從業人員向技術型崗位轉型，業界也將迎來數位素養的提升和相關培訓計畫的增加，以支持技術的普及應用。

這份報告將為貴組織帶來哪些價值？

產品與創新策略：農業技術領域的產品與創新策略應聚焦於三大核心支柱：創新主導的效率、永續性和擴充性。此策略優先開發能夠滿足不同農業部門特定需求的解決方案，確保其具有適應性、成本效益，並能被各種規模的農民所採用。這為塑造農業轉型，使其朝著技術主導的永續性發展的各種方法和創新提供了寶貴的見解。對農業技術轉型進行全面評估，有助於相關人員評估實施智慧農業解決方案所面臨的挑戰和機會。此類評估使政策制定者、農產品和農民能夠了解向支持高效資源利用、減少排放和提高作物產量的技術轉型所帶來的環境、經濟和營運影響。

成長與行銷策略：農業技術轉型評估的成長與行銷策略應著重於提高公眾認知度、加速技術應用，並拓展解決方案以滿足農業領域不斷變化的需求。該策略應以打造強大的價值主張為基礎，透過精準的市場區隔、充分利用夥伴關係關係以及數據驅動的行銷，為小規模農戶和大型農業企業創造提案。隨著主要企業將評估結果作為產品創新、市場拓展和策略聯盟的指南，向先進農業技術的轉型正在推動該產業的成長。企業正日益重視技術整合的全面評估，以支持永續性目標、提高效率並確保合規性。與技術提供者和研究機構夥伴關係、開展合作以及成立合資企業，使企業能夠實施從精密農業和人工智慧分析到自動化機械等一系列前沿解決方案。

競爭策略：農業技術轉型評估提供詳盡的智慧農業分析，重點在於各領域的獨特挑戰和機會。這些評估對農業技術轉型評估市場中的各項技術進行全面的比較分析。相關人員可以透過評估基礎建設、監管環境和技術採納率等因素，清晰了解競爭格局。這有助於農產品企業、政策制定者和投資者做出明智的決策，從而確定戰略成長領域，響應全球永續性目標，並適應快速發展的農業技術轉型評估市場。

調查方法

初步調查

一級資訊來源包括農業技術轉型評估市場的產業專家和生態系統內的各類相關人員。本研究的定性和定量數據均透過對執行長、副總裁、市場總監以及技術和創新總監等受訪者的訪談收集和檢驗。

從原始資料中獲得的主要資料點包括以下幾點：

• 檢驗所有數值資料和圖表，並進行三角測量。
• 報告細分及關鍵定性發現的檢驗
• 了解競爭格局
• 對每種市場類型的市場數據檢驗
• 各市場在區域分析的百分比

第二次調查

本研究利用廣泛的二手資料、名錄、公司網站和年度報告，對農業技術轉型評估進行了深入研究。此外，它還利用了Hoovers、Bloomberg、Businessweek和Factiva等資料庫，收集有用且有效的信息，從而對全球農業技術轉型評估市場進行全面的技術、市場和商業性分析。除上述資料來源外，本研究也使用了其他資料來源和網站，包括美國農業部（USDA）、聯合國糧食及農業組織（FAO）和經濟合作暨發展組織（OECD）的網站。

第二階段的研究旨在獲取有關該行業價值鏈、收入模式、市場現金流量、主要參與者總數以及當前和未來用例和應用的關鍵資訊。

從二次調查中獲得的主要資料點包括以下幾點：

• 細分與共享
• 市場價值數據
• 市場主要企業的關鍵產業趨勢
• 對市場各個面向、關鍵趨勢和新興創新領域的定性分析。
• 用於數學和統計計算的定量數據

目錄

執行摘要

第1章：現況：2020-2025年

• 作物生產技術發展
  • 精密農業和智慧農業
  • 作物遺傳學和生物技術創新
  • 將物聯網和人工智慧應用於作物管理
  • 永續作物保護解決方案
  • 主要技術的全球採用率和技術滲透率（%）
• 畜牧技術
  • 智慧動物健康監測
  • 精準畜牧業
  • 動物遺傳育種的進展
  • 畜牧設施自動化
  • 主要技術的全球採用率和技術滲透率（%）
• 水產養殖技術的進步
  • 物聯網和人工智慧在水產養殖管理的應用
  • 永續飼料和營養方面的創新
  • 育種技術創新
  • 環境監控與控制系統
  • 主要技術的全球採用率和技術滲透率（%）
• 林業科技發展趨勢
  • 精準林業和數據驅動管理
  • 無人機和航空影像應用
  • 森林資源調查與管理軟體
  • 先進的收穫與加工技術
  • 主要技術的採用率和滲透率（%）

第2章 成果與影響：案例研究

• 提高作物產量
  • 你好，曳引機－非洲小規模農場的機械化
  • ADPC 和 Cropin—南亞氣候變遷顧問
• 提高畜牧業生產力
  • Stellapps－印度乳製品供應鏈數位化
  • CowTribe－加納的最後一公里獸醫服務
• 效率提升
  • Aquaconnect－利用人工智慧（AI）支持印度蝦農
  • 世界魚類中心贈品－小規模農戶的快速生長吳郭魚
• 永續森林管理實踐
  • 社區林業特許經營權 - 瓜地馬拉瑪雅生物圈保護區
  • 十億棵樹海嘯——巴基斯坦的大規模植樹造林
• 經濟和環境影響
  • FMNR 綠化－尼日爾農民管理的自然恢復
  • 林業革命－哥倫比亞的永續畜牧業

第3章：未來展望與新趨勢（2026-2035年）

• 作物生產：新興技術
  • 基因編輯和CRISPR
  • 垂直農業和都市農業
  • 具有氣候意識的再生農業
  • 利用區塊鏈技術提高農業供應鏈的透明度
• 畜牧業與動物性蛋白質：新興技術
  • 培養肉和替代蛋白質
  • 人工智慧和巨量資料分析
  • 先進的生物感測器和穿戴式設備
  • 永續畜牧養殖方法
• 水產養殖：新興技術
  • 循環水產養殖系統（RAS）
  • 植物育種中的基因組創新
  • 開發永續水產飼料
  • 先進的水處理和自動化
• 林業與氣候技術：新興技術
  • 碳封存與氣候變遷減緩
  • 先進的遙感探測技術
  • 林業自動化
  • 木材和生醫材料的永續生產

第4章 比較分析：現在與未來

• 作物生產技術進步
• 畜牧業創新
• 水產養殖業的進展
• 林業科技的演變

第5章 投資環境

• 投資環境
  • 全球資金籌措概覽
  • 整體市場規模和成長預測
  • 按行業分類的投資明細
  • 區域投資分配
• 主要投資領域
  • 精密農業技術
  • 農業機器人與自動化
  • 數位農業平台
  • 生物技術與基因編輯
  • 永續農業解決方案
• 投資者類型及參與方式
  • 創業投資公司
  • 企業創業投資
  • 私募股權參與

第6章：挑戰與機遇

• 科技採納的障礙與機遇
  • 農作物生產
  • 家畜
  • 水產養殖
  • 林業
• 監管和政策環境

第7章 建議和結論

• 為相關人員的策略建議
• 未來十年的展望

第8章：調查方法

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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