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市场调查报告书
商品编码
1636639

智慧人工林管理系统市场预测至 2030 年：按组件、作物、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球智慧人工林管理系统市场规模预计在 2024 年达到 16 亿美元，到 2030 年将达到 25 亿美元，预测期内的复合年增长率为 7.8%。

智慧人工林管理系统是技术主导的解决方案，可提高人工林农业的效率、生产力和永续性。利用物联网、人工智慧、机器学习和遥感探测等先进技术即时监控和管理营运。感测器、无人机和智慧灌溉系统等工具收集和分析土壤水分、温度、湿度和作物健康的资料，以便做出更好的决策。这些系统通常用于咖啡、茶、可可和油棕榈等大规模人工林，可减少资源浪费、降低营运成本并支援永续实践。

对提高农业生产力的需求不断增加

智慧人工林管理系统使用物联网感测器、预测分析和即时监控来优化资源利用率。这些系统为农民提供了土壤湿度、养分水平和环境条件的详细信息，从而实现了精确的灌溉计划、施肥和病虫害防治。此外，采用智慧系统还可以满足利用有限资源来最大限度地提高农业产量的需求。透过监测植物健康和环境条件，这些系统有助于确定灌溉、收穫和施肥的理想时间，确保作物的最佳生长条件。

农村地区网路连线有限

网路连线不良会破坏物联网设备通讯，降低即时功能并影响农场管理者的决策。这阻碍了水、肥料和劳动力等资源的最佳化。农民也难以获得云端服务并依赖本地储存和体力劳动。这会导致工作效率降低并且耗费更多时间。如果无法存取云端，农民将无法利用产量预测模型和虫害预测等高级分析技术，从而降低可扩展性和效率并阻碍市场成长。

人们对环境永续性的认识不断增强

越来越多的农民采用智慧系统来减少对环境的影响并维持农场生产力。这些系统使用物联网感测器和预测分析来优化水、肥料和农药的使用，最大限度地减少废弃物并减少对环境的影响。来自土壤感测器、气象站和湿度感测器的即时资料可以精确监测和控制灌溉计划、施肥和农药的使用。这符合永续性目标，透过降低投入成本和最大限度地减少生态影响，从而推动市场成长。

缺乏数位素养和技术专业知识

智慧人工林系统经常被农民所迴避，因为他们认为该系统复杂、昂贵且没有必要。对新技术的不信任和较低的初始采用率可能导致市场服务不足。数位落差——识字率较高、网路普及和技术娴熟的地区能更快地采用这些系统——导致这些地区与网路普及程度较低的地区之间的农业生产力不平衡。由于新兴经济体难以跟上全球农业优化趋势，这可能会扩大农业发展的差距。

COVID-19 的影响

COVID-19 疫情严重影响了智慧人工林管理系统市场，扰乱了供应链，减缓了采用速度，增加了金融不稳定性。但这场危机也凸显了自动化、资料主导的决策和资源最佳化的重要性。这加速了人们对远端监控技术和精密农业的兴趣，随着农业领域接受数位转型，未来市场预计将成长。

遥感探测技术产业预计将成为预测期内最大的产业

卫星影像、无人机和频谱感测器等遥感探测技术能够即时监测作物的健康和生长情况，预计在遥感探测期内将成为最大的细分市场。这些技术可以捕捉有关压力、营养缺乏以及潜在病虫害侵扰的详细资讯。这些资料将帮助农民及时干预，减少作物损失并提高收穫品质。它还提供有关土壤湿度、温度和植被指数的重要资料，使农民能够更有效地管理资源。

预计灌溉管理部门在预测期内将实现最高复合年增长率

预计预测期内灌溉管理部门将以最高的复合年增长率成长。智慧灌溉管理利用滴灌和基于感测器的自动化等技术，根据即时资料向作物提供精确的用水量来减少用水量。这可以最大程度地提高农作物产量并提高作物的品质。适当的灌溉可以促进植物生长，减少压力并确保整个生长季节的持续发育，即使在多变的天气条件下也能实现更好的产量预测和更稳定的收成。

比最大的地区

由于领先的农业技术公司正在利用物联网设备、人工智慧、机器学习和遥感探测来开发高效的智慧人工林系统，预计北美将在预测期内占据最大的市场占有率。该地区的研究和开发工作正在将精准灌溉、自动化机械、无人机技术和巨量资料分析等创新解决方案整合到人工林管理系统中。这些技术将刺激创新并扩展精准农场管理系统的功能，随着精密农业和永续性的需求不断增加，将提升市场吸引力和采用率。

复合年增长率最高的地区：

亚太地区是稻米、茶叶、可可、咖啡、橡胶等主要农产品产地，由于对大规模人工林农业智慧解决方案的需求激增，预计预测期内该地区将实现最高复合年增长率。中国、印度、印尼和泰国等国家正致力于自动化、精密农业和即时监控，以提高效率和永续性。这导致了对优化资源利用、提高产量和永续管理大片农业用地的需求很高，从而刺激了市场成长。

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目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 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
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 驱动程式
  • 限制因素
  • 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
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球智慧人工林管理系统市场（按组件）

  • 硬体
    • 感应器
    • GPS/GNSS 设备
    • 摄影机和无人机
    • 智慧灌溉系统
  • 软体
    • 人工林管理软体
    • 预测分析平台
    • 遥感探测平台
  • 服务
    • 维护和支援
    • 系统整合
    • 咨询
  • 其他组件

6. 全球智慧人工林管理系统市场（依作物）

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

7. 全球智慧人工林管理系统市场（按技术）

  • 遥感探测技术
  • 物联网 (IoT)
  • 人工智慧和机器学习
  • 自动化和机器人
  • 巨量资料分析
  • 云端运算
  • 其他技术

8. 全球智慧人工林管理系统市场（按应用）

  • 灌溉管理
  • 作物健康监测
  • 土壤管理
  • 天气监测
  • 收益管理
  • 其他用途

第 9 章全球智慧人工林管理系统市场（按最终用户）

  • 商业农民
  • 农业合作社
  • 研究所
  • 其他最终用户

第 10 章 全球智慧人工林管理系统市场（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
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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.