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1636639

智慧人工林管理系統市場預測至 2030 年：按組件、作物、技術、應用、最終用戶和地區進行的全球分析

Smart Plantation Management Systems Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software, Services and Other Components), Crop, 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 的數據，全球智慧人工林管理系統市場規模預計在 2024 年達到 16 億美元，到 2030 年將達到 25 億美元，預測期內的複合年成長率為 7.8%。

智慧人工林管理系統是技術主導的解決方案，可提高人工林農業的效率、生產力和永續性。利用物聯網、人工智慧、機器學習和遙感探測等先進技術即時監控和管理營運。感測器、無人機和智慧灌溉系統等工具收集和分析土壤水分、溫度、濕度和作物健康的資料，以便做出更好的決策。這些系統通常用於咖啡、茶、可可和油棕櫚等大規模人工林，可減少資源浪費、降低營運成本並支援永續實踐。

對提高農業生產力的需求不斷增加

智慧人工林管理系統使用物聯網感測器、預測分析和即時監控來最佳化資源利用率。這些系統為農民提供了土壤濕度、養分水平和環境條件的詳細資訊，從而實現了精確的灌溉計劃、施肥和病蟲害防治。此外，採用智慧系統還可以滿足利用有限資源來最大限度地提高農業產量的需求。透過監測植物健康和環境條件，這些系統有助於確定灌溉、收穫和施肥的理想時間，確保作物的最佳生長條件。

農村地區網路連線有限

網路連線不良會破壞物聯網設備通訊，降低即時功能並影響農場管理者的決策。這阻礙了水、肥料和勞動力等資源的最佳化。農民也難以獲得雲端服務並依賴本地儲存和體力勞動。這會導致工作效率降低並且耗費更多時間。如果無法存取雲端，農民將無法利用產量預測模型和蟲害預測等高級分析技術，從而降低可擴展性和效率並阻礙市場成長。

人們對環境永續性的認知不斷增強

越來越多的農民採用智慧系統來減少對環境的影響並維持農場生產力。這些系統使用物聯網感測器和預測分析來最佳化水、肥料和農藥的使用，最大限度地減少廢棄物並減少對環境的影響。來自土壤感測器、氣象站和濕度感測器的即時資料可以精確監測和控制灌溉計劃、施肥和農藥的使用。這符合永續性目標，透過降低投入成本和最大限度地減少生態影響，從而推動市場成長。

缺乏數位素養和技術專業知識

智慧人工林系統經常被農民所迴避，因為他們認為該系統複雜、昂貴且沒有必要。對新技術的不信任和較低的初始採用率可能導致市場服務不足。數位落差——識字率較高、網路普及和技術嫻熟的地區能更快地採用這些系統——導致這些地區與網路普及程度較低的地區之間的農業生產力不平衡。由於新興經濟體難以跟上全球農業最佳化趨勢，這可能會擴大農業發展的差距。

COVID-19 的影響

COVID-19 疫情嚴重影響了智慧人工林管理系統市場，擾亂了供應鏈，減緩了採用速度，增加了金融不穩定性。但這場危機也凸顯了自動化、資料主導的決策和資源最佳化的重要性。這加速了人們對遠端監控技術和精密農業的興趣，隨著農業領域接受數位轉型，未來市場預計將成長。

遙感探測技術產業預計將成為預測期內最大的產業

衛星影像、無人機和頻譜感測器等遙感探測技術能夠即時監測作物的健康和生長情況，預計在遙感探測期內將成為最大的細分市場。這些技術可以捕捉有關壓力、營養缺乏以及潛在病蟲害侵擾的詳細資訊。這些資料將幫助農民及時干預，減少作物損失並提高收穫品質。它還提供有關土壤濕度、溫度和植被指數的重要資料，使農民能夠更有效地管理資源。

預計灌溉管理部門在預測期內將實現最高複合年成長率

預計預測期內灌溉管理部門將以最高的複合年成長率成長。智慧灌溉管理利用滴灌和基於感測器的自動化等技術，根據即時資料向作物提供精確的用水量來減少用水量。這可以最大程度地提高農作物產量並提高作物的品質。適當的灌溉可以促進植物生長，減少壓力並確保整個生長季節的持續發育，即使在多變的天氣條件下也能實現更好的產量預測和更穩定的收成。

比最大的地區

由於領先的農業技術公司正在利用物聯網設備、人工智慧、機器學習和遙感探測來開發高效的智慧人工林系統，預計北美將在預測期內佔據最大的市場佔有率。該地區的研究和開發工作正在將精準灌溉、自動化機械、無人機技術和巨量資料分析等創新解決方案整合到人工林管理系統中。這些技術將刺激創新並擴展精準農場管理系統的功能，隨著精密農業和永續性的需求不斷增加，將提升市場吸引力和採用率。

複合年成長率最高的地區：

亞太地區是稻米、茶葉、可可、咖啡、橡膠等主要農產品產地，由於對大規模人工林農業智慧解決方案的需求激增，預計預測期內該地區將實現最高複合年成長率。中國、印度、印尼和泰國等國家正致力於自動化、精密農業和即時監控，以提高效率和永續性。這導致了對最佳化資源利用、提高產量和永續管理大片農業用地的需求很高，從而刺激了市場成長。

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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
  • 研究範圍
  • 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
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 驅動程式
  • 限制因素
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球智慧人工林管理系統市場（按組件）

  • 硬體
    • 感應器
    • GPS/GNSS 設備
    • 攝影機和無人機
    • 智慧灌溉系統
  • 軟體
    • 人工林管理軟體
    • 預測分析平台
    • 遙感探測平台
  • 服務
    • 維護和支援
    • 系統整合
    • 諮詢
  • 其他組件

6. 全球智慧人工林管理系統市場（依作物）

  • 水果
  • 蔬菜
  • 種植作物
  • 油籽
  • 其他作物

7. 全球智慧人工林管理系統市場（按技術）

  • 遙感探測技術
  • 物聯網 (IoT)
  • 人工智慧和機器學習
  • 自動化和機器人
  • 巨量資料分析
  • 雲端運算
  • 其他技術

8. 全球智慧人工林管理系統市場（按應用）

  • 灌溉管理
  • 作物健康監測
  • 土壤管理
  • 天氣監測
  • 收益管理
  • 其他用途

第 9 章全球智慧人工林管理系統市場（按最終用戶）

  • 商業農民
  • 農業合作社
  • 研究所
  • 其他最終用戶

第 10 章 全球智慧人工林管理系統市場（按地區）

  • 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
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • AG Leader Technology
  • Agriculture Solutions Inc.
  • AquaSpy, Inc.
  • Coromandel International Limited
  • CropMetrics LLC
  • Deere & Company
  • Hafia Groups
  • Jain Irrigation Systems Ltd.
  • Koch AG & Energy Solutions LLC
  • Kugler Company
  • Robert Bosch GmbH
  • Synelixis Solutions
  • Tevatronics
  • Yara International ASA
Product Code: SMRC28280

According to Stratistics MRC, the Global Smart Plantation Management Systems Market is accounted for $1.6 billion in 2024 and is expected to reach $2.5 billion by 2030 growing at a CAGR of 7.8% during the forecast period. Smart Plantation Management Systems are technology-driven solutions that improve efficiency, productivity, and sustainability in plantation farming. They use advanced technologies like IoT, AI, ML, and remote sensing to monitor and manage operations in real-time. Tools like sensors, drones, and smart irrigation systems collect and analyze data on soil moisture, temperature, humidity, and crop health, enabling precise decision-making. Typically used in large-scale plantations of coffee, tea, cocoa, and oil palm, these systems reduce resource wastage, lower operational costs, and support sustainable practices.

Market Dynamics:

Driver:

Rising demand for higher agricultural productivity

Smart plantation management systems use IoT sensors, predictive analytics, and real-time monitoring to optimize resource use. They provide farmers with detailed insights into soil moisture, nutrient levels, and environmental conditions, enabling precise irrigation schedules, fertilizer applications, and pest control. Moreover adopting smart systems addresses the demand for maximizing agricultural output with limited resources. By monitoring plant health and environmental conditions, these systems help determine the ideal time for irrigation, harvest, and fertilization, ensuring optimal growth conditions for crops.

Restraint:

Limited internet connectivity in rural areas

Poor internet connectivity disrupts IoT device communication, reducing real-time functionality and affecting plantation managers' decision-making. This hinders the optimization of resources like water, fertilizers, and labor. Farmers also struggle to access cloud services, relying on local storage and manual interventions. This results in less efficient and time-consuming operations. Without cloud access, farmers miss out on advanced analytics like yield prediction models and pest outbreak forecasts, reducing scalability and efficiency hampering the market growth.

Opportunity:

Increasing awareness of environmental sustainability

Plantation owners are increasingly adopting smart systems to reduce environmental impacts and maintain farm productivity. These systems use IoT sensors and predictive analytics to optimize water, fertilizer, and pesticide use, minimizing waste and reducing environmental impacts. Real-time data from soil sensors, weather stations, and moisture sensors allows for precise monitoring and control of irrigation schedules, fertilizer application, and pesticide usage. This aligns with sustainability goals by lowering input costs and minimizing the impact on ecosystems propelling the market growth.

Threat:

Lack of digital literacy and technical expertise

Smart plantation systems are often discouraged due to farmers' perceptions of them as complex, expensive, or unnecessary. Mistrust of new technologies and low initial uptake can lead to underserved markets. The digital divide, where regions with higher literacy rates, internet access, and technology familiarity adopt these systems more quickly, creates an imbalance in agricultural productivity between these regions and those lacking access. This can widen the gap in agricultural development, as emerging economies struggle to keep up with global farm optimization trends.

Covid-19 Impact

The COVID-19 pandemic significantly impacted the Smart Plantation Management Systems market by disrupting supply chains, delaying implementation, and increasing financial uncertainty. However, the crisis also highlighted the importance of automation, data-driven decisions, and resource optimization. This has led to an accelerated interest in remote monitoring technologies and precision agriculture, which are expected to drive future growth in the market as the agricultural sector embraces digital transformation.

The remote sensing technology segment is expected to be the largest during the forecast period

The remote sensing technology segment is expected to be the largest during the forecast period owing to remote sensing technologies like satellite imagery, drones, and multispectral sensors enable real-time monitoring of crop health and growth conditions. They capture detailed information about stress, nutrient deficiencies, and potential pest or disease outbreaks. This data helps farmers make timely interventions, reduces crop loss, and improves yield quality. It also provides critical data on soil moisture levels, temperature, and vegetation indices, enabling farmers to manage resources more efficiently.

The irrigation management segment is expected to have the highest CAGR during the forecast period

The irrigation management segment is expected to have the highest CAGR during the forecast period smart irrigation management, using technologies like drip irrigation and sensor-based automation, reduces water usage by delivering precise amounts to crops based on real-time data. This maximizes crop yields and improves produce quality. Proper irrigation enhances plant growth, reduces stress, and ensures consistent development throughout the growing season, leading to better yield prediction and consistent harvests, even under variable weather conditions.

Region with largest share:

North America is anticipated to hold the largest market share during the forecast period owing to leading Agritech companies leveraging IoT devices, AI, machine learning, and remote sensing to develop efficient smart plantation systems. The region's R&D efforts integrate innovative solutions like precision irrigation, automated machinery, drone technologies, and big data analytics into plantation management systems. These technologies drive innovation and expand the capabilities of precision plantation management systems, boosting market appeal and penetration due to the increasing demand for precision farming and sustainability.

Region with highest CAGR:

Asia Pacific is anticipated to witness the highest CAGR over the forecast period because APAC, is home to major agricultural producers like rice, tea, cocoa, coffee, and rubber, is experiencing a surge in demand for smart solutions for large-scale plantation farming. Countries like China, India, Indonesia, and Thailand are focusing on automation, precision farming, and real-time monitoring to improve efficiency and sustainability. This has led to a significant demand for this market optimize resource use, increase yields, and sustainably manage vast farmlands, thereby fueling market growth.

Key players in the market

Some of the key players in Smart Plantation Management Systems market include AG Leader Technology, Agriculture Solutions Inc., AquaSpy, Inc., Coromandel International Limited, CropMetrics LLC, Deere & Company, Hafia Groups, Jain Irrigation Systems Ltd., Koch AG & Energy Solutions L.L.C., Kugler Company, Robert Bosch GmbH, Synelixis Solutions, Tevatronics and Yara International ASA.

Key Developments:

In November 2024, Petrobras and Yara have signed agreements in a next step towards structuring a potential partnership within fertilizers and industrial products, both based on resumed production in Araucaria Nitrogenados S.A. (ANSA), a wholly-owned subsidiary of Petrobas.

In October 2024, John Deere announced its latest forestry technology feature with the rollout of Auto Pickup for its skidder line-up. Industry-exclusive Auto Pickup within John Deere TimberMatic Maps makes it easier for skidder operators to collect production information while enhancing the ability to monitor job progress.

In October 2024, John Deere announced a new strategic partnership with Trimble. In the future, the Trimble Earthworks Grade Control technology will be integrated with the John Deere SmartGrade(TM) platform, giving customers access to the expansive Trimble technology ecosystem.

Components Covered:

  • Hardware
  • Software
  • Services
  • Other Components

Crop Covered:

  • Fruits
  • Vegetables
  • Plantation Crops
  • Oilseeds
  • Other Crops

Technologies Covered:

  • Remote Sensing Technology
  • IoT (Internet of Things)
  • AI & Machine Learning
  • Automation & Robotics
  • Big Data Analytics
  • Cloud Computing
  • Other Technologies

Applications Covered:

  • Irrigation Management
  • Crop Health Monitoring
  • Soil Management
  • Weather Monitoring
  • Yield Management
  • Other Applications

End Users Covered:

  • Commercial Farmers
  • Agricultural Cooperatives
  • Research Institutions
  • 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 Smart Plantation Management Systems Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 GPS/GNSS Devices
    • 5.2.3 Cameras & Drones
    • 5.2.4 Smart Irrigation Systems
  • 5.3 Software
    • 5.3.1 Plantation Management Software
    • 5.3.2 Predictive Analytics Platforms
    • 5.3.3 Remote Sensing Platforms
  • 5.4 Services
    • 5.4.1 Maintenance & Support
    • 5.4.2 System Integration
    • 5.4.3 Consulting
  • 5.5 Other Components

6 Global Smart Plantation Management Systems Market, By Crop

  • 6.1 Introduction
  • 6.2 Fruits
  • 6.3 Vegetables
  • 6.4 Plantation Crops
  • 6.5 Oilseeds
  • 6.6 Other Crops

7 Global Smart Plantation Management Systems Market, By Technology

  • 7.1 Introduction
  • 7.2 Remote Sensing Technology
  • 7.3 IoT (Internet of Things)
  • 7.4 AI & Machine Learning
  • 7.5 Automation & Robotics
  • 7.6 Big Data Analytics
  • 7.7 Cloud Computing
  • 7.8 Other Technologies

8 Global Smart Plantation Management Systems Market, By Application

  • 8.1 Introduction
  • 8.2 Irrigation Management
  • 8.3 Crop Health Monitoring
  • 8.4 Soil Management
  • 8.5 Weather Monitoring
  • 8.6 Yield Management
  • 8.7 Other Applications

9 Global Smart Plantation Management Systems Market, By End User

  • 9.1 Introduction
  • 9.2 Commercial Farmers
  • 9.3 Agricultural Cooperatives
  • 9.4 Research Institutions
  • 9.5 Other End Users

10 Global Smart Plantation Management Systems 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 AG Leader Technology
  • 12.2 Agriculture Solutions Inc.
  • 12.3 AquaSpy, Inc.
  • 12.4 Coromandel International Limited
  • 12.5 CropMetrics LLC
  • 12.6 Deere & Company
  • 12.7 Hafia Groups
  • 12.8 Jain Irrigation Systems Ltd.
  • 12.9 Koch AG & Energy Solutions L.L.C.
  • 12.10 Kugler Company
  • 12.11 Robert Bosch GmbH
  • 12.12 Synelixis Solutions
  • 12.13 Tevatronics
  • 12.14 Yara International ASA

List of Tables

  • Table 1 Global Smart Plantation Management Systems Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Smart Plantation Management Systems Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Smart Plantation Management Systems Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Smart Plantation Management Systems Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 5 Global Smart Plantation Management Systems Market Outlook, By GPS/GNSS Devices (2022-2030) ($MN)
  • Table 6 Global Smart Plantation Management Systems Market Outlook, By Cameras & Drones (2022-2030) ($MN)
  • Table 7 Global Smart Plantation Management Systems Market Outlook, By Smart Irrigation Systems (2022-2030) ($MN)
  • Table 8 Global Smart Plantation Management Systems Market Outlook, By Software (2022-2030) ($MN)
  • Table 9 Global Smart Plantation Management Systems Market Outlook, By Plantation Management Software (2022-2030) ($MN)
  • Table 10 Global Smart Plantation Management Systems Market Outlook, By Predictive Analytics Platforms (2022-2030) ($MN)
  • Table 11 Global Smart Plantation Management Systems Market Outlook, By Remote Sensing Platforms (2022-2030) ($MN)
  • Table 12 Global Smart Plantation Management Systems Market Outlook, By Services (2022-2030) ($MN)
  • Table 13 Global Smart Plantation Management Systems Market Outlook, By Maintenance & Support (2022-2030) ($MN)
  • Table 14 Global Smart Plantation Management Systems Market Outlook, By System Integration (2022-2030) ($MN)
  • Table 15 Global Smart Plantation Management Systems Market Outlook, By Consulting (2022-2030) ($MN)
  • Table 16 Global Smart Plantation Management Systems Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 17 Global Smart Plantation Management Systems Market Outlook, By Crop (2022-2030) ($MN)
  • Table 18 Global Smart Plantation Management Systems Market Outlook, By Fruits (2022-2030) ($MN)
  • Table 19 Global Smart Plantation Management Systems Market Outlook, By Vegetables (2022-2030) ($MN)
  • Table 20 Global Smart Plantation Management Systems Market Outlook, By Plantation Crops (2022-2030) ($MN)
  • Table 21 Global Smart Plantation Management Systems Market Outlook, By Oilseeds (2022-2030) ($MN)
  • Table 22 Global Smart Plantation Management Systems Market Outlook, By Other Crops (2022-2030) ($MN)
  • Table 23 Global Smart Plantation Management Systems Market Outlook, By Technology (2022-2030) ($MN)
  • Table 24 Global Smart Plantation Management Systems Market Outlook, By Remote Sensing Technology (2022-2030) ($MN)
  • Table 25 Global Smart Plantation Management Systems Market Outlook, By IoT (Internet of Things) (2022-2030) ($MN)
  • Table 26 Global Smart Plantation Management Systems Market Outlook, By AI & Machine Learning (2022-2030) ($MN)
  • Table 27 Global Smart Plantation Management Systems Market Outlook, By Automation & Robotics (2022-2030) ($MN)
  • Table 28 Global Smart Plantation Management Systems Market Outlook, By Big Data Analytics (2022-2030) ($MN)
  • Table 29 Global Smart Plantation Management Systems Market Outlook, By Cloud Computing (2022-2030) ($MN)
  • Table 30 Global Smart Plantation Management Systems Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 31 Global Smart Plantation Management Systems Market Outlook, By Application (2022-2030) ($MN)
  • Table 32 Global Smart Plantation Management Systems Market Outlook, By Irrigation Management (2022-2030) ($MN)
  • Table 33 Global Smart Plantation Management Systems Market Outlook, By Crop Health Monitoring (2022-2030) ($MN)
  • Table 34 Global Smart Plantation Management Systems Market Outlook, By Soil Management (2022-2030) ($MN)
  • Table 35 Global Smart Plantation Management Systems Market Outlook, By Weather Monitoring (2022-2030) ($MN)
  • Table 36 Global Smart Plantation Management Systems Market Outlook, By Yield Management (2022-2030) ($MN)
  • Table 37 Global Smart Plantation Management Systems Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 38 Global Smart Plantation Management Systems Market Outlook, By End User (2022-2030) ($MN)
  • Table 39 Global Smart Plantation Management Systems Market Outlook, By Commercial Farmers (2022-2030) ($MN)
  • Table 40 Global Smart Plantation Management Systems Market Outlook, By Agricultural Cooperatives (2022-2030) ($MN)
  • Table 41 Global Smart Plantation Management Systems Market Outlook, By Research Institutions (2022-2030) ($MN)
  • Table 42 Global Smart Plantation Management Systems Market Outlook, By Other End Users (2022-2030) ($MN)

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