CSA（气候智能型农业）市场：关注温室气体减排技术

气候变化、粮食安全和农业实践之间存在着复杂的关係，农民、政策制定者和研究人员需要共同努力应对这一多方面的课题。

这些利益相关者正在积极制定战略，以同时减少排放、增强气候恢復力和适应能力以及提高农业生产力。 CSA 的引入已成为一种有效实现这些相互关联的目标的综合方法，同时考虑到这一流程中固有的协同作用和权衡。

本报告考察了CSA（气候智能型农业）市场，总结了气候变化对农业的影响、各种CSA相关技术的现状、对每个利益相关者的建议以及未来的路线图。

目录

第1章气候变化及其对农业的影响

• 农业气候变化的原因
  • 农场门排放
  • 林业
  • 能源使用
• CSA简介

第2章CSA（气候智能型农业）：技术前景

• 精准农业
  • 引入精准农业预计将减少排放
  • 保守农业
  • 农林业
  • 牲畜管理
  • 再生能源
  • 水管理
  • 气候信息服务
• 政府的主要倡议及其影响
• 全球资助
  • 政府资金
  • 私募基金
• 实施CSA的主要课题
  • 初始成本高
  • 缺乏对基础设施和 CSA优点的认识

第3章建议和结论

• 给政策制定者的建议
• 对技术提供商的建议
• 概述：未来路线图

第4章研究方法

“BIS Research Study Highlights Climate Smart Agriculture Market.”

Introduction

The intricate relationships between climate change, food security, and agricultural practices underscore the need for collaborative endeavors among farmers, policymakers, and researchers to tackle this multifaceted challenge. These stakeholders are actively deploying strategies that concurrently mitigate emissions, enhance climate resilience and adaptation, and improve agricultural productivity. The adoption of climate smart agriculture (CSA) practices has emerged as a comprehensive approach to effectively pursue these interconnected objectives, taking into account the synergies and trade-offs inherent in the process.

Market Introduction

As defined by the United Nations Food and Agriculture Organization (FAO), climate smart agriculture (CSA) is an agricultural framework that offers guidance to farmers in adopting environmentally sustainable and climate resilient practices. This approach goes beyond traditional farming methods and takes an integrated approach to landscape management, including cropland, livestock, forests, and fisheries. It aims to effectively address the interconnected issues of food security and climate change. The applicability of CSA extends to countries across both the Global South and Global North, although regional contexts may result in variations in specific challenges and the prioritization of objectives.

Market Challenges:

The implementation of climate smart agriculture practices can pose financial challenges for farmers, as it often involves significant upfront costs associated with acquiring new technologies and infrastructure. Furthermore, the adoption of precision farming techniques requires investments in specialized equipment and training. However, despite these initial financial barriers, it is crucial to provide support for the adoption of climate smart agriculture practices due to their long-term advantages, such as enhanced crop yields and improved environmental sustainability.

Farmers who possess limited practical knowledge about climate smart agriculture (CSA) and are primarily motivated by economic incentives may exhibit reluctance toward adopting CSA practices. This resistance to change or aversion to risk can hinder their willingness to embrace CSA. The lack of practical understanding refers to limited awareness among farmers regarding the environmental consequences associated with conventional agricultural practices and the potential advantages offered by CSA.

The limited connectivity in marginalized areas poses a significant challenge in terms of accessing real-time data, weather forecasts, and market information essential for the effective implementation of climate smart agriculture (CSA) techniques. Bridging the infrastructure gap becomes imperative to ensure equitable access to information and resources, thereby facilitating broader adoption of CSA practices in these underserved regions.

How Can This Report Add Value to an Organization?

Primary Research

The primary sources involve the climate smart agriculture industry experts and stakeholders such as data suppliers, platform developers, and service providers. Respondents such as vice presidents, CEOs, marketing directors, and technology and innovation directors have been interviewed to verify this research study's qualitative and quantitative aspects.

The key data points taken from primary sources include:

• understanding the competitive landscape
• validation of the numbers of various markets for market type

Secondary Research

This 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 market. In addition to the aforementioned data sources, the study has been undertaken with the help of other data sources and websites, such as www.fao.org and www.worldbank.org.

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.

Table of Contents

1 Climate Change and its Impact on Agriculture

• 1.1 Cause of Climate Change on Agriculture
  • 1.1.1 Farm-Gate Emissions
    • 1.1.1.1 Livestock
    • 1.1.1.2 Crop Production
  • 1.1.2 Forestry
  • 1.1.3 Energy Use
• 1.2 Implementation of Climate Smart Agriculture (CSA)

2 Climate Smart Agriculture - Technology Landscape

• 2.1 Precision Agriculture
  • 2.1.1 Expected Emission Reduction with Precision Agriculture Adoption
    • 2.1.1.1 Patent Analysis
    • 2.1.1.2 Key Technologies and Providers
    • 2.1.1.3 Case Study
      • 2.1.1.3.1 Climate Smart Agriculture Case Study by Government of India
      • 2.1.1.3.2 Monarch Tractor Wente Vineyards Energy Case Study
      • 2.1.1.3.3 Yield Monitoring and Digitization Case Study
  • 2.1.2 Conservative Agriculture
    • 2.1.2.1 Expected Emission Reduction with Conservative Agriculture Adoption
    • 2.1.2.2 Patent Analysis
    • 2.1.2.3 Key Technologies and Providers
    • 2.1.2.4 Case Study
      • 2.1.2.4.1 Soil Erosion Case Study
      • 2.1.2.4.2 Sustainable Agriculture Land Management Case Study
  • 2.1.3 Agroforestry
    • 2.1.3.1 Expected Emission Reduction with AgroForestry Adoption
    • 2.1.3.2 Patent Analysis
    • 2.1.3.3 Key Technologies and Providers
    • 2.1.3.4 Case Study
      • 2.1.3.4.1 Climate Smart Forestry Case Study - Wageningen University & Research
  • 2.1.4 Livestock Management
    • 2.1.4.1 Expected Emission Reduction with Livestock Management Technologies Adoption
    • 2.1.4.2 Patent Analysis
    • 2.1.4.3 Key Technologies and Providers
    • 2.1.4.4 Case Study
      • 2.1.4.4.1 Mongolia Livestock Farming Case Study
      • 2.1.4.4.2 Livestock Monitoring and Management Case Study
  • 2.1.5 Renewable Energy
    • 2.1.5.1 Expected Emission Reduction with Renewable Energy Technology Adoption
    • 2.1.5.2 Patent Analysis
    • 2.1.5.3 Key Technologies and Providers
    • 2.1.5.4 Case Study
      • 2.1.5.4.1 Solar Power-Based Microgrid Case Study
      • 2.1.5.4.2 Solar Powered Farm Case Study
  • 2.1.6 Water Management
    • 2.1.6.1 Expected Emission Reduction with Water Management Technology Adoption
    • 2.1.6.2 Patent Analysis
    • 2.1.6.3 Key Technologies and Providers
    • 2.1.6.4 Case Study
      • 2.1.6.4.1 Reduction of Input Resources - Zerynth S.p.A. Case Study
      • 2.1.6.4.2 Automated Water and Fertilizer Management Case Study
      • 2.1.6.4.3 Yield Monitoring and Water Management Case Study
  • 2.1.7 Climate Information Services
    • 2.1.7.1 Expected Emission Reduction with Climate Information Services Adoption
    • 2.1.7.2 Patent Analysis
    • 2.1.7.3 Key Technologies and Providers
    • 2.1.7.4 Case Study
      • 2.1.7.4.1 Severe Weather Case Study
      • 2.1.7.4.2 Mongolia Herd Management Climate Information Services Case Study
• 2.2 Key Government Initiatives and Impacts
• 2.3 Global Funding
  • 2.3.1 Government Fundings
    • 2.3.1.1 Government Fundings (Year-on-Year)
    • 2.3.1.2 Government Funding (by Country)
    • 2.3.1.3 Key Government Fundings Focusing Climate Smart Agriculture Practices
  • 2.3.2 Private Funding
    • 2.3.2.1 Funding Analysis (Year-on-Year)
    • 2.3.2.2 Funding Analysis (by Technology)
    • 2.3.2.3 Key Private Funding Focusing on Climate Smart Agriculture Practices
    • 2.3.2.4 Key Investors in Climate Smart Agriculture Market, 2022
• 2.4 Key Challenges in CSA Adoption
  • 2.4.1 High Upfront Costs
  • 2.4.2 Lack of Infrastructure and Awareness of Climate Smart Agriculture Benefits

3 Recommendation and Conclusion

• 3.1 Recommendation for Policymakers
• 3.2 Recommendation For Technology Providers
• 3.3 Conclusion: Future Road Map
  • 3.3.1 Expected Farm Consolidation
  • 3.3.2 Government Support
  • 3.3.3 Expected Demand for Climate Smart Agriculture Contract Services among Small Farms
  • 3.3.4 Growing Millennial Populations in Agriculture

4 Research Methodology

• 4.1 Data Sources
  • 4.1.1 Primary Data Sources
  • 4.1.2 Secondary Data Sources

List of Figures

• Figure 1: Three Objectives of Climate Smart Agriculture
• Figure 2: Major Sectors of GHG Emissions in Agriculture
• Figure 3: Climate Smart Agriculture Techniques
• Figure 4: Factors Catalyzing the Growth of Climate Smart Agriculture Adoption
• Figure 5: Global Greenhouse Gas Emissions on Agriculture
• Figure 6: World Farm-Gate Emissions by Activity
• Figure 7: Yearly Cattle Population (2018-2026)
• Figure 8: Global Deforestation and Forest Growth Over 30 Years (1990-2020)
• Figure 9: Steps for the Implementation of Climate Smart Agriculture
• Figure 10: Expected Emission Reduction with Precision Agriculture Adoption
• Figure 11: Precision Agriculture Technologies Emission Reduction Potential
• Figure 12: Patents Filed or Granted for Precision Agriculture Technology (Global), January 2018-December 2022
• Figure 13: Climate Smart Agriculture Case Study by Government of India
• Figure 14: Monarch Tractor Wente Vineyards Energy Case Study
• Figure 15: Yield Monitoring and Digitization Case Study
• Figure 16: Expected Emission Reduction with Conservative Agriculture Adoption
• Figure 17: Conservative Agriculture Technologies Emission Reduction Potential
• Figure 18: Patents Filed or Granted for Conservative Agriculture (Global), January 2018-December 2022
• Figure 19: Soil Erosion Case Study
• Figure 20: Sustainable Agriculture Land Management Case Study
• Figure 21: Expected Emission Reduction with AgroForestry Adoption
• Figure 22: Agroforestry Technologies Emission Reduction Potential
• Figure 23: Patents Filed or Granted for Agroforestry (Global), January 2018-December 2022
• Figure 24: Climate Smart Forestry Case Study - Wageningen University & Research
• Figure 25: Expected Emission Reduction with Livestock Management Technologies Adoption
• Figure 26: Livestock Management Technologies Emission Reduction Potential
• Figure 27: Patents Filed or Granted for Livestock Management (Global), January 2018-December 2022
• Figure 28: Mongolia Livestock Farming Case Study
• Figure 29: Livestock Monitoring and Management Case Study
• Figure 30: Expected Emission Reduction with Renewable Energy Technology Adoption
• Figure 31: Renewable Energy Technologies Emission Reduction Potential
• Figure 32: Patents Filed or Granted for Renewable Energy (Global), January 2018-December 2022
• Figure 33: Solar Power-Based Microgrid Case Study
• Figure 34: Solar Powered Farm Case Study
• Figure 35: Expected Emission Reduction with Water Management Technology Adoption
• Figure 36: Water Management Technologies Emission Reduction Potential
• Figure 37: Patents Filed or Granted for Water Management (Global), January 2018-December 2022
• Figure 38: Reduction of Input Resources - Zerynth S.p.A. Case Study
• Figure 39: Automated Water and Fertilizer Management Case Study
• Figure 40: Yield Monitoring and Water Management Case Study
• Figure 41: Patents Filed or Granted for Climate Information Services (Global), January 2018-December 2022
• Figure 42: Severe Weather Case Study
• Figure 43: Mongolia Herd Management Climate Information Services Case Study
• Figure 44: Government Funding (by Year-on-Year), January 2021-June 2023
• Figure 45: Funding Analysis, January 2021- June 2023
• Figure 46: Funding Analysis, January 2020 - June 2023
• Figure 47: Funding Analysis (by Technology), 2020-2022
• Figure 48: Building Blocks for CSA Policy Implementation at Country Level
• Figure 49: Global Climate Smart Agriculture Market: Focus on Technologies Mitigating GHG Emissions: Research Methodology

List of Tables

• Table 1: Tools to Track Carbon Emissions in Agriculture
• Table 2: Key Technologies and Providers
• Table 3: Key Precision Agriculture Companies
• Table 4: Key Technologies and Providers
• Table 5: Key Conservative Agriculture Solution Providers
• Table 6: Key Technologies and Providers
• Table 7: Key Agroforestry Technology Providers
• Table 8: Key Technologies and Providers
• Table 9: Key Livestock Management Providers
• Table 10: Key Technologies and Providers
• Table 11: Key Renewable Energy Solution Providers
• Table 12: Key Technologies and Providers
• Table 13: Key Water Management Solution Providers
• Table 14: Key Technologies and Providers
• Table 15: Key Climate Information Services Providers
• Table 16: Key Government Initiatives/Programs
• Table 17: Key Government Fundings Focusing Climate Smart Agriculture Practices
• Table 18: Key Private Fundings Focusing on Climate Smart Agriculture Practices
• Table 19: Key Active Investors in Climate Smart Agriculture Market, 2022
• Table 20: Estimated Investment Costs and Service Contracts for Precision Agriculture Technologies