物聯網在農業的應用 - 第4版

IoT Applications in the Agricultural Industry - 4th Edition

出版日期: 2025年01月10日 | 出版商:

Berg Insight | 英文 240 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

預計農業生產安裝的無線設備數量將從 2023 年底的 2,650 萬台增長到 2028 年的 3,820 萬台，複合年增長率為 7.6%。預計到 2023 年底蜂窩連接數將達到 200 萬，到 2028 年將達到 410 萬。

本報告研究了物聯網在全球農業中的應用，提供了對主要公司的訪談見解、市場趨勢和關鍵發展、82 家智慧農業解決方案供應商的概況，以及對各細分領域農業物聯網市場現狀的詳細分析到 2028 年。

智慧農業基礎設施
- 農業機械板塊
- 場段
- 畜牧業
- 無人機部分
- 定位段
- 網段
- 後台部門
機械管理
- 車輛診斷、維修規劃
精準農業
- 導引、自動駕駛
- 產量監測、繪圖
- 精密播種
- 精準施肥
- 精密噴塗
遙感
- 航空攝影
遠端監控
- 環境監測
- 害蟲監測
- 水資源管理
精準畜牧業
- 豬的管理
- 家禽管理
- 肉牛管理
- 乳牛群管理
資料管理、預測分析
商業模式與策略

第3章市場預測與趨勢

市場分析
- 運轉單位數及出貨單位數
- 區域市場
- 無線技術
- 精準農業
- 農業無人機
- 現場監控與控制
- 乳牛群管理
市場推動因素與障礙
- 總體經濟環境
- 監管環境
- 競爭環境
- 科技環境
價值鏈分析
- 輸入行業公司
- 農機業企業
- 精準農業公司
- 乳品機械業企業
- 遠端儲槽和筒倉監控公司
- 電信業公司
- IT產業公司
- 智慧農業價值鏈中的併購活動
市場趨勢
- 新的數位生態系統需要轉向協作
- 畜牧養殖規模擴大，精準畜牧技術應用更廣泛
- 經銷商仍然是客戶的關鍵聯絡點
- 原始設備製造商延長免費遠端資訊處理訂閱期
- 領先的解決方案供應商透過其風險投資部門押注農業科技新創企業
- 物聯網新創企業吸引大量創投
- 系統整合和互通性仍然是主要課題
- 自主在農業中發揮關鍵作用

第4章 OEM產品與策略

AGCO
Amazone
ARGO Tractors
CLAAS Group
CNH Industrial
Deere & Company
JCB
Komatsu
Krone
Kubota
Mahindra & Mahindra
Ponsse
Rottne
SDF
Stara
Tigercat
Vermeer

第5章售後解決方案供應商

精準農業
- 365FarmNet (CLAAS Group)
- Ag Leader Technology
- BASF
- Climate LLC (Bayer)
- DICKEY-john
- DKE-Data
- Farmers Edge
- Hemisphere GNSS (CNH Industrial)
- Hexagon
- Lacos
- Raven Industries (CNH Industrial)
- Syngenta
- Topcon Positioning Systems
- Trimble
- Yara
農業無人機
- AgEagle
- Aonic
- DJI
- Draganfly
- Hylio
- Jiyi
- Sentera
- TTA
- Wingtra
- XAG
環境和害蟲監測
- Agrivi
- Almanac
- Campbell Scientific
- Davis Instruments
- Fieldin
- Isagri
- Meteobot (Prointegra)
- METER Group
- Pessl Instruments
- Sencrop
- Trapview
- Weenat
水資源管理
- AquaSpy
- Arable
- CropX
- EarthScout
- Hortau
- Libelium
- Lindsay Corporation
- Netafim
- Pycno
- Rivulis
- Valmont Industries
- WiseConn
乳牛群管理
- Afimilk
- BouMatic
- CowManager
- Dairymaster
- Datamars
- DeLaval
- Farmnote
- Fullwood JOZ
- GEA Group
- Lely
- Merck
- Moocall
- Nedap
- smaXtec
- Stellapps
- Zoetis
首字母縮寫詞和縮寫詞列表

簡介目錄圖表

How will the market for agricultural IoT applications evolve in 2025 and beyond? Berg Insight covers the latest trends and developments in the emerging smart farming market. Berg Insight forecasts that the number of installed wireless devices for applications in agricultural production is forecasted to grow at a CAGR of 7.6 percent from 26.5 million connections at the end of 2023 to 38.2 million connected devices by 2028. Cellular connections amounted to 2.0 million at the end of 2023 and are expected to reach 4.1 million in 2028. Get up to date with the latest information about vendors, products and markets.

Highlights from the report:

Insights from numerous interviews with market leading companies.
Comprehensive overview of the smart farming value chain and key applications.
In-depth analysis of market trends and key developments in crop and livestock production.
Profiles of 82 smart farming solution providers.
Detailed reviews of the latest precision agriculture initiatives launched by industry players.
Summary of OEM propositions from manufacturers of agricultural and forestry equipment.
Forecasts by market segment, region and wireless technology lasting until 2028.

List of Figures

Executive Summary

1. The Agricultural Sector

1.1. Agricultural production
- 1.1.1. Agricultural land use
- 1.1.2. Irrigated area and irrigation methods
- 1.1.3. Employment in agriculture
- 1.1.4. Forestry
- 1.1.5. The food and agribusiness value chain
1.2. Agricultural commodities
1.3. Demand for agricultural commodities
- 1.3.1. Population growth and economic development
- 1.3.2. Consumption of agricultural products
1.4. Agricultural operations
- 1.4.1. Farm income and capital expenditures
- 1.4.2. Mixed crop-livestock farming
- 1.4.3. Crop farming
- 1.4.4. Livestock farming
1.5. Agricultural and forestry equipment

2. Smart Farming Technologies and Solutions

2.1. Smart farming infrastructure
- 2.1.1. Farm equipment segment
- 2.1.2. Field segment
- 2.1.3. Livestock segment
- 2.1.4. Drone segment
- 2.1.5. Positioning segment
- 2.1.6. Network segment
- 2.1.7. Backoffice segment
2.2. Machinery management
- 2.2.1. Vehicle diagnostics and maintenance planning
2.3. Precision agriculture
- 2.3.1. Guidance and automated steering
- 2.3.2. Yield monitoring and mapping
- 2.3.3. Precision seeding
- 2.3.4. Precision fertilising
- 2.3.5. Precision spraying
2.4. Remote sensing
- 2.4.1. Aerial imagery
2.5. Remote monitoring and control
- 2.5.1. Environmental monitoring
- 2.5.2. Pest monitoring
- 2.5.3. Water management
2.6. Precision livestock farming
- 2.6.1. Pig management
- 2.6.2. Poultry management
- 2.6.3. Beef cattle management
- 2.6.4. Dairy herd management
2.7. Data management and predictive analysis
2.8. Business models and strategies

3. Market Forecasts and Trends

3.1. Market analysis
- 3.1.1. Installed base and unit shipments
- 3.1.2. Regional markets
- 3.1.3. Wireless technologies
- 3.1.4. Precision agriculture
- 3.1.5. Agricultural drones
- 3.1.6. In-field monitoring and control
- 3.1.7. Dairy herd management
3.2. Market drivers and barriers
- 3.2.1. Macroeconomic environment
- 3.2.2. Regulatory environment
- 3.2.3. Competitive environment
- 3.2.4. Technology environment
3.3. Value chain analysis
- 3.3.1. Input industry players
- 3.3.2. Farm equipment industry players
- 3.3.3. Precision farming industry players
- 3.3.4. Dairy equipment industry players
- 3.3.5. Remote tank and silo monitoring players
- 3.3.6. Telecom industry players
- 3.3.7. IT industry players
- 3.3.8. M&A activity along the smart farming value chain
3.4. Market trends
- 3.4.1. The emerging digital ecosystem requires a shift towards collaboration
- 3.4.2. Larger herds drive the adoption of precision livestock farming technologies
- 3.4.3. Dealerships remain as important gateways to customers
- 3.4.4. OEMs extend free telematics subscription periods
- 3.4.5. Major solution providers bet on agtech start-ups via venture capital arms
- 3.4.6. IoT start-ups attract substantial venture capital investments
- 3.4.7. System integration and interoperability remain high on the agenda
- 3.4.8. Autonomy will play a significant role in agricultural operations

4. OEM Products and Strategies

4.1. AGCO
4.2. Amazone
4.3. ARGO Tractors
4.4. CLAAS Group
4.5. CNH Industrial
4.6. Deere & Company
4.7. JCB
4.8. Komatsu
4.9. Krone
4.10. Kubota
4.11. Mahindra & Mahindra
4.12. Ponsse
4.13. Rottne
4.14. SDF
4.15. Stara
4.16. Tigercat
4.17. Vermeer

5. Aftermarket Solution Providers

5.1. Precision farming
- 5.1.1. 365FarmNet (CLAAS Group)
- 5.1.2. Ag Leader Technology
- 5.1.3. BASF
- 5.1.4. Climate LLC (Bayer)
- 5.1.5. DICKEY-john
- 5.1.6. DKE-Data
- 5.1.7. Farmers Edge
- 5.1.8. Hemisphere GNSS (CNH Industrial)
- 5.1.9. Hexagon
- 5.1.10. Lacos
- 5.1.11. Raven Industries (CNH Industrial)
- 5.1.12. Syngenta
- 5.1.13. Topcon Positioning Systems
- 5.1.14. Trimble
- 5.1.15. Yara
5.2. Agricultural drones
- 5.2.1. AgEagle
- 5.2.2. Aonic
- 5.2.3. DJI
- 5.2.4. Draganfly
- 5.2.5. Hylio
- 5.2.6. Jiyi
- 5.2.7. Sentera
- 5.2.8. TTA
- 5.2.9. Wingtra
- 5.2.10. XAG
5.3. Environmental and pest monitoring
- 5.3.1. Agrivi
- 5.3.2. Almanac
- 5.3.3. Campbell Scientific
- 5.3.4. Davis Instruments
- 5.3.5. Fieldin
- 5.3.6. Isagri
- 5.3.7. Meteobot (Prointegra)
- 5.3.8. METER Group
- 5.3.9. Pessl Instruments
- 5.3.10. Sencrop
- 5.3.11. Trapview
- 5.3.12. Weenat
5.4. Water management
- 5.4.1. AquaSpy
- 5.4.2. Arable
- 5.4.3. CropX
- 5.4.4. EarthScout
- 5.4.5. Hortau
- 5.4.6. Libelium
- 5.4.7. Lindsay Corporation
- 5.4.8. Netafim
- 5.4.9. Pycno
- 5.4.10. Rivulis
- 5.4.11. Valmont Industries
- 5.4.12. WiseConn
5.5. Dairy herd management
- 5.5.1. Afimilk
- 5.5.2. BouMatic
- 5.5.3. CowManager
- 5.5.4. Dairymaster
- 5.5.5. Datamars
- 5.5.6. DeLaval
- 5.5.7. Farmnote
- 5.5.8. Fullwood JOZ
- 5.5.9. GEA Group
- 5.5.10. Lely
- 5.5.11. Merck
- 5.5.12. Moocall
- 5.5.13. Nedap
- 5.5.14. smaXtec
- 5.5.15. Stellapps
- 5.5.16. Zoetis
List of Acronyms and Abbreviations

簡介目錄圖表

List of Figures

Figure 1.1: Area and yield trend for wheat, rice, soybean and corn (World 1960-2023)
Figure 1.2: Moving 10-year average growth in crop yield (World 1970-2023)
Figure 1.3: Land use and agricultural land (World 2022)
Figure 1.4: Top 10 countries by planted area (World 2022)
Figure 1.5: Employment in agriculture (2022)
Figure 1.6: Global production of forest products (2023)
Figure 1.7: The agribusiness value chain
Figure 1.8: Major crop production statistics (World 2023)
Figure 1.9: Leading producers of major crops (World 2023)
Figure 1.10: Meat and milk production statistics (World 2023)
Figure 1.11: Live animal stock (World 2022)
Figure 1.12: Agricultural commodity prices (Jan 2000-Sept 2024)
Figure 1.13: Population in billion (World)
Figure 1.14: Use of cereal grains (World 2023)
Figure 1.15: Examples of agricultural equipment
Figure 1.16: Example of central-pivot irrigation equipment
Figure 1.17: Examples of forestry equipment
Figure 2.1: Smart farming infrastructure overview
Figure 2.2: ISOBUS connector
Figure 2.3: Real-time kinematic correction service with drones
Figure 2.4: Common wireless technologies in the agricultural industry
Figure 2.5: Example of smart farming backoffice segment
Figure 2.6: Example of a yield monitor
Figure 2.7: Example of a yield map
Figure 2.8: Example of a tractor-mounted crop sensor
Figure 2.9: Example of a crop spraying drone
Figure 2.10: Example of an in-field weather station
Figure 2.11: Example of a connected insect trap
Figure 2.12: Example of an in-field soil moisture sensor
Figure 2.13: Examples of monitored variables in precision livestock farming
Figure 2.14: Examples of AMS and AMR milking robots
Figure 2.15: Wearable devices for cattle monitoring
Figure 3.1: Unit shipments and installed base by segment (World 2023-2028)
Figure 3.2: Unit shipments and installed base by region (World 2023-2028)
Figure 3.3: Unit shipments and installed base by technology (World 2023-2028)
Figure 3.4: Precision agriculture market value (World 2023-2028)
Figure 3.5: Agricultural drones market value (World 2023-2028)
Figure 3.6: Livestock activity monitoring solutions market value (World 2023-2028)
Figure 3.7: Revenues of top providers of crop protection chemicals and seeds
Figure 3.8: Financial data for farm equipment companies active in precision agriculture
Figure 3.9: Financial data for precision technology companies
Figure 3.10: Financial data for top providers of dairy equipment
Figure 3.11: The AGI BinManger remote bin monitoring solution
Figure 3.12: BinMaster's range of products
Figure 3.13: Agbot's remote tank level monitoring solution
Figure 3.14: Top 10 mobile operators by IoT connections (World Q4-2023)
Figure 3.15: M&A activity among companies active in smart farming (2020-2024)
Figure 3.16: Total funding in FMS, sensing and IoT start-ups (2015-2023)
Figure 3.17: Lely's autonomous feed pusher
Figure 4.1: Precision Planting's third generation 20-20 monitor
Figure 4.2: Precision Planting's Panorama app
Figure 4.3: The AmaTron 4 ISOBUS terminal with display extension
Figure 4.4: CLAAS Group's CEMIS 1200 display
Figure 4.5: AGXTEND's NirXact hardware
Figure 4.6: The John Deere connectivity family
Figure 4.7: John Deere Precision Forestry including JDLink
Figure 4.8: Krone's CCI 1200 ISOBUS terminal
Figure 4.9: Kubota Precision Farming products
Figure 4.10: Overview of the IsoMatch FarmCentre telematics solution
Figure 4.11: The Krish-e mobile solution and smart kit
Figure 4.12: Overview of SDF Smart Farming Solutions
Figure 4.13: Tigercat telematics - RemoteLog and LogOn
Figure 4.14: Vermeer Telematics interface
Figure 5.1: The 365Active solution
Figure 5.2: Ag Leader Technology's InCommand 1200 display
Figure 5.3: The xarvio Connect device
Figure 5.4: Components of the Smart Spraying solution by ONE SMART SPRAY
Figure 5.5: The FieldView Drive 2.0
Figure 5.6: DKE-Data's agrirouter
Figure 5.7: Hemisphere GNSS' Atlas correction service
Figure 5.8: Hexagon's Embedded Electronics product portfolio
Figure 5.9: Raven Industries' Field Hub 2.1 in-cab modem
Figure 5.10: Topcon Positioning Systems' CL-55 and AGS-2 devices
Figure 5.11: Yara's N-Sensor ALS 2
Figure 5.12: AgEagle's eBee X drone for aerial imagery
Figure 5.13: DJI's Agras T50 crop spraying drone
Figure 5.14: Hylio's crop spraying drones
Figure 5.15: Sentera's PHX fixed-wing drone for aerial imagery
Figure 5.16: TTA's M6E-G300 crop spraying drone
Figure 5.17: The WingtraOne Gen II VTOL drone for aerial imagery
Figure 5.18: XAG's P100 Pro crop spraying drone
Figure 5.19: User interface of the AGRIVI 360 platform
Figure 5.20: Semios' insect trap and pheromone dispenser
Figure 5.21: The Aspen 10 edge device and CampbellGo mobile app
Figure 5.22: Davis Instruments' EnviroMonitor field monitoring system
Figure 5.23: Fieldin's product suite
Figure 5.24: Pessl Instruments' micrometer-METOS and iMETOS weather stations
Figure 5.25: Overview of Sencrop's solutions
Figure 5.26: Trapview's insect trap for pest monitoring and control
Figure 5.27: The Arable Mark 3 sensor
Figure 5.28: CropX's farm management system
Figure 5.29: Overview of EarthScout's irrigation management solution
Figure 5.30: Hortau's monitoring station in a lettuce field
Figure 5.31: The Smart Agriculture Xtreme and Libelium One
Figure 5.32: The Zimmatic 712C control panel
Figure 5.33: Netafim's irrigation operating system GrowSphere
Figure 5.34: Pycno's soil moisture sensors network
Figure 5.35: Valley 365 platform modules
Figure 5.36: WiseConn's range of sensor nodes for irrigation management
Figure 5.37: Afimilk's AfiAct II leg-mounted monitoring solution
Figure 5.38: CowManager's herd management system
Figure 5.39: Dairymaster's MooMonitor+ solution
Figure 5.40: Datamars' Tru-Test collar, ear tag and gateway
Figure 5.41: The DeLaval Plus farm management system
Figure 5.42: GEA Group's CowScout collar
Figure 5.43: The Allflex ear and neck tags
Figure 5.44: Moocall's tail-mounted Calving Sensor
Figure 5.45: Overview of the FarmControl solution
Figure 5.46: Overview of the smaXtec system