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市场调查报告书
商品编码
1577208

到 2030 年农业成像感测器市场预测：按感测器类型、平台、技术、应用、最终用户和地区进行的全球分析

Agriculture Imaging Sensor Market Forecasts to 2030 - Global Analysis by Sensor Type, Platform, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2024年全球农业影像感测器市场规模将达25.2亿美元，预计2030年将达到39.7亿美元，预测期内复合年增长率为13.5%。

农业成像感测器是用于捕捉作物、土壤和农业景观的高解析度影像的先进设备。透过分析资料，农民可以就作物管理、病虫害防治和灌溉做出明智的决策，最终提高生产力和永续性。将农业成像感测器纳入农业作业可促进精密农业、优化资源利用并提高产量。

根据现代农业示范区的研究，透过安装感测器，农民可以减轻干旱的影响，并在保护性农业方面减少至少20%的劳动力和维护成本。

精密农业日益受到重视

随着农民越来越寻求优化产量并尽量减少资源浪费，影像感测器正在提供作物健康、土壤条件和环境因素的关键资料。这种资料主导的方法可以实现有针对性的干预措施，例如精确灌溉、施肥和病虫害防治。此外，影像感测器与先进分析和人工智慧技术的整合将有助于做出明智的决策，并使农民能够采取永续的做法。这种精密农业的趋势正在推动对创新成像解决方案的需求，推动市场成长和农业永续性。

技术复杂性

农业成像感测器的技术复杂性源自于先进技术，例如频谱和高光谱遥测影像，需要专门的操作和资料解释知识。农民和农学家可能会面临与这些先进系统相关的陡峭学习曲线，导致利用率不足。由于潜在用户意识到将这些技术有效地融入实践所需的困难和时间，缺乏专业知识可能会阻碍市场成长。

永续性趋势

永续性趋势显着强调了高效资源管理和环境友善农业实践的必要性。随着消费者对永续食品的需求日益增加，农民被迫采用最大限度减少废弃物、减少化学品使用和优化水消费量的技术。农业成像感测器在这一转变中发挥关键作用。透过提供资料主导的见解，这些感测器可以帮助农民做出明智的决策，采取永续的做法，在保护自然资源的同时提高生产力，并推动市场扩张。

初始投资高

农业成像感测器的初始投资成本较高是由于技术先进、设备精良和安装成本高。农民，特别是小规模农民，可能会发现很难为此类投资分配资金，这可能会限制采用。此外，实现投资回报所需的时间可能会阻碍农民采用这些先进的成像解决方案，并减缓整体市场扩张。

COVID-19 的影响

COVID-19 大流行扰乱了供应链、减缓了製造速度并影响了农业技术部署，对农业成像感测器市场产生了重大影响。由于农民面临劳动力短缺和获得技术的机会减少，行动限制阻碍了精密农业的采用。然而，由于远端监控变得至关重要，大流行也加速了对数位农业解决方案的需求。人们对粮食安全和永续农业实践的认识不断提高，进一步增加了疫情后对农业成像感测器的兴趣，推动了市场成长。

机载感测器市场预计将在预测期内成为最大的市场

预计机载感测器领域将在预测期内获得最大的市场占有率。农业成像中的空基感测器利用无人机和飞机捕捉作物和景观的高解析度影像和资料。这些感测器采用频谱和热感成像等技术来评估植物健康、土壤湿度和空气中的营养水平。它们快速有效地覆盖大面积的能力使它们对现代农业有价值，可以促进永续农业实践和明智的决策。

产量监测产业预计在预测期内复合年增长率最高

产量监测产业预计在预测期内复合年增长率最高。农业成像感测器的产量监测涉及使用先进技术来即时评估和分析作物产量。透过将感测器整合到收割设备中，农民可以收集不同田间区域的产量、品质和变化资料。产量监测增强了有关资源分配、施肥和轮作的决策，最终提高生产力和盈利，同时促进永续农业。

占比最大的地区：

在精密农业技术和技术进步的推动下，亚太地区预计将在预测期内创下最大的市场占有率。中国、印度和日本等国家正在投资并引领智慧农业技术，以提高作物生产力并确保粮食安全。政府对永续农业的措施和支持正在进一步提振市场需求。总体而言，该地区为农业成像解决方案的创新和扩展提供了重大机会。

复合年增长率最高的地区：

由于精密农业的进步以及农业方法中技术的不断融入，预计北美在预测期内的复合年增长率最高。美国和加拿大处于领先地位，农民采用影像感测器进行作物监测、产量最佳化和资源管理。政府促进永续农业的措施和高效粮食生产的需求正在进一步推动市场扩张。此外，资料分析和人工智慧在农业实践中的兴起正在增加影像感测器的吸引力，为该地区创造了巨大的成长机会。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球农业影像感测器市场：按感测器类型

  • 频谱感测器
  • 高光谱遥测感测器
  • 热感应器
  • RGB（红、绿、蓝）感光元件
  • 光达感测器
  • 其他感测器类型

第六章全球农业影像感测器市场：按平台

  • 航空感测器
  • 地面安装感测器
  • 其他平台

第七章全球农业影像感测器市场：依技术分类

  • 成像技术
  • 非成像技术
  • 其他技术

第八章全球农业影像感测器市场：依应用分类

  • 作物监测
  • 土壤监测
  • 灌溉监测
  • 产量监控
  • 现场测绘
  • 病虫害检测
  • 天气预报
  • 牲畜监测
  • 其他用途

第九章全球农业成像感测器市场：依最终用户分类

  • 农民和农学家
  • 农业合作社
  • 调查机构
  • 政府机构
  • 农业机械製造商
  • 其他最终用户

第10章全球农业影像感测器市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 公司概况

  • Trimble Inc.
  • Topcon Corporation
  • Deere & Company（John Deere）
  • AGCO Corporation
  • Micasense, Inc.
  • Tetracam Inc.
  • Teledyne FLIR LLC
  • Sentera, LLC
  • Parrot SA
  • PrecisionHawk
  • SlantRange, Inc.
  • Headwall Photonics, Inc.
  • Pix4D SA
  • SenseFly（Parrot Group）
  • DJI Innovations
  • Raptor Maps, Inc.
  • Yara International ASA
  • Quantum Spatial
  • Hexagon Agriculture
  • Cropsense, Inc.
Product Code: SMRC27526

According to Stratistics MRC, the Global Agriculture Imaging Sensor Market is accounted for $2.52 billion in 2024 and is expected to reach $3.97 billion by 2030 growing at a CAGR of 13.5% during the forecast period. Agriculture imaging sensors are advanced devices used to capture high-resolution images of crops, soil, and agricultural landscapes. By analyzing data, farmers can make informed decisions regarding crop management, pest control, and irrigation, ultimately enhancing productivity and sustainability. The integration of agriculture imaging sensors into farming practices facilitates precision agriculture, optimizing resource use and improving yields.

According to the Modern Agriculture Demonstration Zone Research, installing sensors can help farmers mitigate the effects of drought and reduce labor and maintenance costs by at least 20% when it comes to protected agriculture.

Market Dynamics:

Driver:

Growing emphasis on precision farming practices

As farmers increasingly seek to optimize yields and minimize resource waste, imaging sensors provide critical data on crop health, soil conditions, and environmental factors. This data-driven approach allows for targeted interventions, such as precise irrigation, fertilization, and pest control. Additionally, the integration of imaging sensors with advanced analytics and AI technologies facilitates informed decision-making, enabling farmers to adopt sustainable practices. This trend toward precision agriculture drives demand for innovative imaging solutions, fostering market growth and advancing agricultural sustainability.

Restraint:

Technical complexities

Technical complexity in agriculture imaging sensors arises from the sophisticated technologies involved, such as multispectral and hyperspectral imaging, which require specialized knowledge for operation and data interpretation. Farmers and agronomists may struggle with the steep learning curve associated with these advanced systems, leading to underutilization. This lack of expertise can hamper market growth, as potential users may be deterred by the perceived difficulty and time required to effectively integrate these technologies into their practices.

Opportunity:

Sustainability trends

Sustainability trends significantly emphasize the need for efficient resource management and environmentally friendly farming practices. As consumers increasingly demand sustainably sourced food, farmers are compelled to adopt technologies that minimize waste, reduce chemical usage, and optimize water consumption. Agriculture imaging sensors play a crucial role in this transformation. By providing data-driven insights, these sensors empower farmers to make informed decisions, leading to sustainable practices that enhance productivity while preserving natural resources, thus driving market expansion.

Threat:

High initial investment

High initial investment costs in agriculture imaging sensors arise from the advanced technology, sophisticated equipment, and installation expenses involved. Farmers, especially those operating on a smaller scale, may find it challenging to allocate funds for such investments, leading to limited adoption. Additionally, the perceived return on investment may take time to materialize, further discouraging farmers from embracing these advanced imaging solutions, thereby slowing overall market expansion.

Covid-19 Impact

The covid-19 pandemic significantly impacted the agriculture imaging sensor market by disrupting supply chains, delaying manufacturing, and affecting the deployment of agricultural technologies. Restrictions on movement hindered the adoption of precision farming practices, as farmers faced labor shortages and reduced access to technology. However, the pandemic also accelerated the demand for digital farming solutions, as remote monitoring became essential. Increased awareness of food security and sustainable farming practices further boosted interest in agriculture imaging sensors post-pandemic, driving market growth.

The aerial-based sensors segment is expected to be the largest during the forecast period

The aerial-based sensors segment is predicted to secure the largest market share throughout the forecast period. Aerial-based sensors in agriculture imaging utilize drones or aircraft to capture high-resolution images and data of crops and landscapes. These sensors employ technologies like multispectral and thermal imaging to assess plant health, soil moisture, and nutrient levels from above. Their ability to cover large areas quickly and efficiently makes them invaluable for modern farming, promoting sustainable agricultural practices and informed decision-making.

The yield monitoring segment is expected to have the highest CAGR during the forecast period

The yield monitoring segment is anticipated to witness the highest CAGR during the forecast period. Yield monitoring in agriculture imaging sensors involves the use of advanced technologies to assess and analyze crop yields in real-time. By integrating sensors with harvesting equipment, farmers can collect data on yield quantities, quality, and variability across different field zones. Yield monitoring enhances decision-making regarding resource allocation, fertilization, and crop rotation, ultimately leading to improved productivity and profitability while promoting sustainable farming practices.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period driven by the increasing adoption of precision agriculture techniques and technological advancements. Countries like China, India, and Japan are leading the way, investing in smart farming technologies to enhance crop productivity and ensure food security. Government initiatives and support for sustainable agriculture further boost market demand. Overall, the region presents substantial opportunities for innovation and expansion in agricultural imaging solutions.

Region with highest CAGR:

North America is projected to witness the highest CAGR over the forecast period fuelled by advancements in precision agriculture and the increasing integration of technology in farming practices. The United States and Canada are at the forefront, with farmers adopting imaging sensors for crop monitoring, yield optimization, and resource management. Government initiatives promoting sustainable agriculture and the need for efficient food production further drive market expansion. Additionally, the rise of data analytics and AI in agricultural practices enhances the appeal of imaging sensors, offering significant opportunities for growth in this region.

Key players in the market

Some of the key players profiled in the Agriculture Imaging Sensor Market include Trimble Inc., Topcon Corporation, Deere & Company (John Deere), AGCO Corporation, Micasense, Inc., Tetracam Inc., Teledyne FLIR LLC, Sentera, LLC, Parrot SA, PrecisionHawk, SlantRange, Inc., Headwall Photonics, Inc., Pix4D SA, SenseFly (Parrot Group), DJI Innovations, Raptor Maps, Inc., Yara International ASA, Quantum Spatial, Hexagon Agriculture and Cropsense, Inc.

Key Developments:

In April 2024, Trimble announced updates to its precision agriculture solutions, branded as PTx. This initiative focuses on providing both factory-fit and retrofit upgrades for various agricultural machinery, thereby enhancing automation and data management capabilities for farmers. The updates are designed to improve operational efficiency by integrating advanced technologies into existing equipment, allowing for better data collection and analysis.

In February 2024, John Deere launched the See & Spray(TM) Ultimate, an advanced imaging sensor system aimed at revolutionizing weed management in agriculture. This innovative technology utilizes high-resolution cameras and sophisticated algorithms to identify and differentiate between crops and weeds in real time. By enabling targeted spraying, See & Spray(TM) Ultimate allows farmers to apply herbicides only where needed, significantly reducing the amount of chemicals used and minimizing environmental impact.

Sensor Types Covered:

  • Multispectral Sensors
  • Hyperspectral Sensors
  • Thermal Sensors
  • RGB (Red, Green, Blue) Sensors
  • LiDAR Sensors
  • Other Sensor Types

Platforms Covered:

  • Aerial-based Sensors
  • Ground-based Sensors
  • Other Platforms

Technologies Covered:

  • Imaging Technology
  • Non-imaging Technology
  • Other Technologies

Applications Covered:

  • Crop Monitoring
  • Soil Monitoring
  • Irrigation Monitoring
  • Yield Monitoring
  • Field Mapping
  • Disease and Pest Detection
  • Weather Forecasting
  • Livestock Monitoring
  • Other Applications

End Users Covered:

  • Farmers and Agronomists
  • Agricultural Cooperatives
  • Research Institutions
  • Government Bodies
  • Agricultural Equipment Manufacturers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Agriculture Imaging Sensor Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 Multispectral Sensors
  • 5.3 Hyperspectral Sensors
  • 5.4 Thermal Sensors
  • 5.5 RGB (Red, Green, Blue) Sensors
  • 5.6 LiDAR Sensors
  • 5.7 Other Sensor Types

6 Global Agriculture Imaging Sensor Market, By Platform

  • 6.1 Introduction
  • 6.2 Aerial-based Sensors
  • 6.3 Ground-based Sensors
  • 6.4 Other Platforms

7 Global Agriculture Imaging Sensor Market, By Technology

  • 7.1 Introduction
  • 7.2 Imaging Technology
  • 7.3 Non-imaging Technology
  • 7.4 Other Technologies

8 Global Agriculture Imaging Sensor Market, By Application

  • 8.1 Introduction
  • 8.2 Crop Monitoring
  • 8.3 Soil Monitoring
  • 8.4 Irrigation Monitoring
  • 8.5 Yield Monitoring
  • 8.6 Field Mapping
  • 8.7 Disease and Pest Detection
  • 8.8 Weather Forecasting
  • 8.9 Livestock Monitoring
  • 8.10 Other Applications

9 Global Agriculture Imaging Sensor Market, By End User

  • 9.1 Introduction
  • 9.2 Farmers and Agronomists
  • 9.3 Agricultural Cooperatives
  • 9.4 Research Institutions
  • 9.5 Government Bodies
  • 9.6 Agricultural Equipment Manufacturers
  • 9.7 Other End Users

10 Global Agriculture Imaging Sensor Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Trimble Inc.
  • 12.2 Topcon Corporation
  • 12.3 Deere & Company (John Deere)
  • 12.4 AGCO Corporation
  • 12.5 Micasense, Inc.
  • 12.6 Tetracam Inc.
  • 12.7 Teledyne FLIR LLC
  • 12.8 Sentera, LLC
  • 12.9 Parrot SA
  • 12.10 PrecisionHawk
  • 12.11 SlantRange, Inc.
  • 12.12 Headwall Photonics, Inc.
  • 12.13 Pix4D SA
  • 12.14 SenseFly (Parrot Group)
  • 12.15 DJI Innovations
  • 12.16 Raptor Maps, Inc.
  • 12.17 Yara International ASA
  • 12.18 Quantum Spatial
  • 12.19 Hexagon Agriculture
  • 12.20 Cropsense, Inc.

List of Tables

  • Table 1 Global Agriculture Imaging Sensor Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Agriculture Imaging Sensor Market Outlook, By Sensor Type (2022-2030) ($MN)
  • Table 3 Global Agriculture Imaging Sensor Market Outlook, By Multispectral Sensors (2022-2030) ($MN)
  • Table 4 Global Agriculture Imaging Sensor Market Outlook, By Hyperspectral Sensors (2022-2030) ($MN)
  • Table 5 Global Agriculture Imaging Sensor Market Outlook, By Thermal Sensors (2022-2030) ($MN)
  • Table 6 Global Agriculture Imaging Sensor Market Outlook, By RGB (Red, Green, Blue) Sensors (2022-2030) ($MN)
  • Table 7 Global Agriculture Imaging Sensor Market Outlook, By LiDAR Sensors (2022-2030) ($MN)
  • Table 8 Global Agriculture Imaging Sensor Market Outlook, By Other Sensor Types (2022-2030) ($MN)
  • Table 9 Global Agriculture Imaging Sensor Market Outlook, By Platform (2022-2030) ($MN)
  • Table 10 Global Agriculture Imaging Sensor Market Outlook, By Aerial-based Sensors (2022-2030) ($MN)
  • Table 11 Global Agriculture Imaging Sensor Market Outlook, By Ground-based Sensors (2022-2030) ($MN)
  • Table 12 Global Agriculture Imaging Sensor Market Outlook, By Other Platforms (2022-2030) ($MN)
  • Table 13 Global Agriculture Imaging Sensor Market Outlook, By Technology (2022-2030) ($MN)
  • Table 14 Global Agriculture Imaging Sensor Market Outlook, By Imaging Technology (2022-2030) ($MN)
  • Table 15 Global Agriculture Imaging Sensor Market Outlook, By Non-imaging Technology (2022-2030) ($MN)
  • Table 16 Global Agriculture Imaging Sensor Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 17 Global Agriculture Imaging Sensor Market Outlook, By Application (2022-2030) ($MN)
  • Table 18 Global Agriculture Imaging Sensor Market Outlook, By Crop Monitoring (2022-2030) ($MN)
  • Table 19 Global Agriculture Imaging Sensor Market Outlook, By Soil Monitoring (2022-2030) ($MN)
  • Table 20 Global Agriculture Imaging Sensor Market Outlook, By Irrigation Monitoring (2022-2030) ($MN)
  • Table 21 Global Agriculture Imaging Sensor Market Outlook, By Yield Monitoring (2022-2030) ($MN)
  • Table 22 Global Agriculture Imaging Sensor Market Outlook, By Field Mapping (2022-2030) ($MN)
  • Table 23 Global Agriculture Imaging Sensor Market Outlook, By Disease and Pest Detection (2022-2030) ($MN)
  • Table 24 Global Agriculture Imaging Sensor Market Outlook, By Weather Forecasting (2022-2030) ($MN)
  • Table 25 Global Agriculture Imaging Sensor Market Outlook, By Livestock Monitoring (2022-2030) ($MN)
  • Table 26 Global Agriculture Imaging Sensor Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 27 Global Agriculture Imaging Sensor Market Outlook, By End User (2022-2030) ($MN)
  • Table 28 Global Agriculture Imaging Sensor Market Outlook, By Farmers and Agronomists (2022-2030) ($MN)
  • Table 29 Global Agriculture Imaging Sensor Market Outlook, By Agricultural Cooperatives (2022-2030) ($MN)
  • Table 30 Global Agriculture Imaging Sensor Market Outlook, By Research Institutions (2022-2030) ($MN)
  • Table 31 Global Agriculture Imaging Sensor Market Outlook, By Government Bodies (2022-2030) ($MN)
  • Table 32 Global Agriculture Imaging Sensor Market Outlook, By Agricultural Equipment Manufacturers (2022-2030) ($MN)
  • Table 33 Global Agriculture Imaging Sensor Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.