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1577208

農業成像感測器市場至2030年的預測：按感測器類型、平台、技術、應用、最終用戶和地區的全球分析

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個工作天內

價格

根據Stratistics MRC預測，2024年全球農業影像感測器市場規模將達25.2億美元，預計2030年將達到39.7億美元，預測期內年複合成長率為13.5%。

農業成像感測器是用於捕捉作物、土壤和農業景觀的高解析度影像的先進設備。透過分析資料，農民可以就作物管理、病蟲害防治和灌溉做出明智的決策，最終提高生產力和永續性。將農業成像感測器納入農業作業可促進精密農業、最佳化資源利用並提高產量。

根據現代農業示範區的研究，透過安裝感測器，農民可以減輕乾旱的影響，並在保護性農業方面減少至少20%的勞動力和維護成本。

精密農業日益受到重視

隨著農民越來越尋求最佳化產量並盡量減少資源浪費，影像感測器提供作物健康、土壤條件和環境因素的關鍵資料。這種資料主導的方法可以實現有針對性的干涉措施，例如精確灌溉、施肥和病蟲害防治。此外，影像感測器與先進分析和人工智慧技術的整合將有助於做出明智的決策，並使農民能夠採取永續的做法。這種精密農業的趨勢推動對創新成像解決方案的需求，推動市場成長和農業永續性。

技術複雜性

農業成像感測器的技術複雜性源自於先進技術，例如頻譜和高光譜遙測影像，需要專門的操作和資料解釋知識。農民和農學家可能會面臨與這些先進系統相關的陡峭學習曲線，導致利用率不足。由於潛在用戶意識到將這些技術有效地融入實踐所需的困難和時間，缺乏專業知識可能會阻礙市場成長。

永續性趨勢

永續性趨勢顯著強調了高效資源管理和環境友善農業實踐的必要性。隨著消費者對永續食品的需求日益增加，農民被迫採用最大限度減少廢棄物、減少化學品使用和最佳化水消費量的技術。農業成像感測器在這一轉變中發揮關鍵作用。透過提供資料主導的見解，這些感測器可以幫助農民做出明智的決策，採取永續的做法，在保護自然資源的同時提高生產力，並推動市場擴張。

初始投資高

農業成像感測器的初始投資成本較高是由於技術先進、設備精良和安裝成本高。農民，特別是小規模農民，可能會發現很難為此類投資分配資金，這可能會限制採用。此外，實現投資回報所需的時間可能會阻礙農民採用這些先進的成像解決方案，並減緩整體市場擴張。

COVID-19 的影響

COVID-19 大流行擾亂了供應鏈、減緩了製造速度並影響了農業技術部署，對農業成像感測器市場產生了重大影響。由於農民面臨勞動力短缺和獲得技術的機會減少，行動限制阻礙了精密農業的採用。然而，由於遠端監控變得非常重要，大流行也加速了對數位農業解決方案的需求。人們對糧食安全和永續農業實踐的認知不斷提高，進一步增加了疫情後對農業成像感測器的興趣，推動了市場成長。

機載感測器市場預計將在預測期內成為最大的市場

預計機載感測器領域將在預測期內獲得最大的市場佔有率。農業成像中的空基感測器利用無人機和飛機捕捉作物和景觀的高解析度影像和資料。這些感測器採用頻譜和熱感成像等技術來評估植物健康、土壤濕度和空氣中的營養水準。它們快速有效地覆蓋大面積的能力使它們對現代農業有價值，可以促進永續農業實踐和明智的決策。

產量監測產業預計在預測期內年複合成長率最高

產量監測產業預計在預測期內年複合成長率最高。農業成像感測器的產量監測包括使用先進技術來即時評估和分析作物產量。透過將感測器整合到收割設備中，農民可以收集不同田間區域的產量、品質和變化資料。產量監測增強了有關資源分配、施肥和輪作的決策，最終提高生產力和盈利，同時促進永續農業。

佔比最大的地區：

在精密農業技術和技術進步的推動下，亞太地區預計將在預測期內創下最大的市場佔有率。中國、印度和日本等國家投資並引領智慧農業技術，以提高作物生產力並確保糧食安全。政府對永續農業的措施和支持進一步提振市場需求。總體而言，該地區為農業成像解決方案的創新和擴展提供了重大機會。

年複合成長率最高的地區：

由於精密農業的進步以及農業方法中技術的不斷融入，預計北美在預測期內的年複合成長率最高。美國和加拿大處於領先地位，農民採用影像感測器進行作物監測、產量最佳化和資源管理。政府促進永續農業的措施和高效糧食生產的需求進一步推動市場擴張。此外，資料分析和人工智慧在農業實踐中的興起日益增加影像感測器的吸引力，為該地區創造了巨大的成長機會。

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目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球農業影像感測器市場：依感測器類型

  • 頻譜感測器
  • 高光譜遙測感測器
  • 熱感應器
  • RGB（紅、綠、藍）感光元件
  • LiDAR感測器
  • 其他感測器類型

第6章 全球農業影像感測器市場：依平台

  • 航空感測器
  • 地面安裝感測器
  • 其他平台

第7章 全球農業影像感測器市場：依技術分類

  • 成像技術
  • 非成像技術
  • 其他技術

第8章 全球農業影像感測器市場：依應用分類

  • 作物監測
  • 土壤監測
  • 灌溉監測
  • 產量監控
  • 現場測繪
  • 病蟲害檢測
  • 天氣預報
  • 牲畜監測
  • 其他用途

第9章 全球農業成像感測器市場：依最終用戶分類

  • 農民和農學家
  • 農業合作社
  • 調查機構
  • 政府機構
  • 農業機械製造商
  • 其他最終用戶

第10章 全球農業影像感測器市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東、非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • 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.