農業IoT　第3版

Berg Insight（ベルグインサイト）「農業IoT　第3版 – IoT Applications in the Agricultural Industry – 3rd Edition」は精密農業、農業用ドローン、農場監視、家畜群れ管理、農場管理ソフトウェアなどのスマート農業の世界市場を調査・分析しています。

主な掲載内容

• エグゼクティブサマリー
• 農業セクター
  • 農業生産
  • 農産物
  • 農業運営
  • 農機具
• スマート農業技術とソリューション
  • スマート農業インフラ
  • 機械管理
  • 精密農業
  • 遠隔センシング
  • 遠隔センシングと制御
  • 精密畜産農業
  • データ管理と予測解析
  • ビジネスモデルと戦略
• 市場予測と動向
  • 市場分析
  • 市場促進要因と阻害要因
  • バリューチェーン分析
  • 市場動向
• OEM製品と戦略
• アフターマーケットソリューションプロバイダ
  • 精密農業
  • 農業用ドローン
  • 環境および害虫監視
  • 水管理
  • 乳牛群管理
  • 農業用ソフトウェア

Report Overview

IoT Applications in the Agricultural Industry is the third consecutive strategy report from Berg Insight analysing the latest developments on the global smart farming market covering precision farming, agricultural drones, in-field monitoring, herd management and farm management software. This strategic research report from Berg Insight provides you with 200 pages of unique business intelligence, including 5-year industry forecasts and expert commentary on which to base your business decisions.

How will the market for agricultural IoT applications evolve in 2024 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 8.1 percent from 25.2 million connections at the end of 2022 to 37.1 million connected devices by 2027. Cellular connections amounted to 1.8 million at the end of 2022 and is expected to grow at a CAGR of 17.7 percent to reach 4.0 million in 2027. Get up to date with the latest information about vendors, products and markets.

Press Release

The number of wireless devices in agricultural production reached 25.2 million in 2022

Smart farming refers to the application of information and communications technology in agricultural production systems. The electronification of agricultural equipment has advanced over several decades but has accelerated in recent years due to improvements in computing power, data storage and wireless data transfer. Berg Insight’s definition of smart farming solutions include systems installed in agricultural equipment, in the field or fitted to animals. Included are also agricultural software systems which ensure that agricultural production can be planned, scheduled and managed to achieve efficient operations.

Precision agriculture is about managing variations in the field to increase crop yield, raise productivity and reduce consumption of agricultural inputs. While solutions such as auto-guidance and machine monitoring and control via on-board displays today are mainstream technologies in the agricultural industry, telematics and Variable Rate Technology (VRT) are still in the early days of adoption. Most major agricultural equipment manufacturers have initiatives related to precision agriculture although strategies vary markedly. Leading providers of precision agriculture solutions include Deere & Company, Trimble, Topcon Positioning Systems, CNH Industrial through its subsidiary Raven Industries and Hexagon. Other significant vendors are AGCO, Ag Leader Technology and CLAAS Group. The agricultural drone market has recently emerged as a rapidly growing area in precision farming. The market is led by DJi with an installed base of more than 210,000 agricultural drones. Other important players are Draganfly, AgEagle, XAG and Beijing TT Aviation Technology. Industry players that provide data-oriented applications and agronomic services include Bayer’s The Climate Corporation, Syngenta, Farmers Edge and BASF.

The market for in-field sensor systems can be divided into three segments: environmental monitoring, pest monitoring and water management. These solutions typically incorporate wireless connectivity, data logging, cameras and sensors that record measurements of environmental parameters. Semios is the largest vendor in the space by far with an estimated installed base of 750,000 sensor nodes, followed by Pessl Instruments and Davis instruments with installed bases of around 80,000 and 50,000 devices respectively. Top specialised providers of integrated soil moisture monitoring solutions comprise Hortau, AquaSpy and CropX. Remote irrigation control solutions are offered by the largest OEMs of central pivot and drip irrigation systems including Valmont Industries with its Valley Irrigation brand, Lindsay Corporation with its Zimmatic brand and Netafim.

Precision livestock farming technologies are mainly applied to the husbandry of dairy cattle, poultry and pigs. Consolidation and growth of dairy farms have resulted in larger herds per farmer, which makes manual observations challenging. Body-mounted sensor systems together with herd management software are used to achieve satisfactory herd health and timely insemination when a cow is in oestrous. A majority of the leading dairy equipment OEMs including GEA Group, Lely and BouMatic partner with specialised companies to provide advanced sensor technology for herd management. The world’s largest dairy equipment manufacturer DeLaval offers its in-house developed activity monitoring system along with its milking and dairy farming infrastructure solutions. Other significant providers of precision livestock farming technologies include Afimilk, Datamars, Nedap and Merck.

Berg Insight’s outlook for the smart farming solution market is positive as agricultural production remains greatly underpenetrated by IoT technologies. The number of installed wireless devices for applications in agricultural production is forecasted to grow at a compound annual growth rate (CAGR) of 8.1 percent from 25.2 million connections at the end of 2022 to 37.1 million connected devices by 2027. Cellular connections amounted to 1.7 million at the end of 2022 and are expected to reach 3.9 million in 2027. The main application areas for cellular communications comprise telematics and in-field sensor systems. LPWA technologies are expected to achieve the highest growth rate and realise a significant market position in the remote monitoring and control segment. 802.15.4-based standards comprise the most employed wireless technology due to its wide adoption in dairy cow monitoring applications.

Table of Contents

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 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 Satellite 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 In-field monitoring and control
3.1.6 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 Telecom industry players
3.3.6 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 IoT start-ups attract significant venture capital investments
3.4.4 System integration and interoperability are high on the agenda
3.4.5 Dealerships remain as gateways to customers
3.4.6 OEMs likely to extend free telematics subscription periods
3.4.7 Freemium strategies will intensify competition between software vendors
3.4.8 Autonomy will play a significant role in agricultural operations

4 OEM Products and Strategies
4.1 AGCO
4.2 ARGO Tractors
4.3 CLAAS Group
4.4 CNH Industrial
4.5 Deere & Company
4.6 Komatsu
4.7 Krone
4.8 Kubota
4.9 Mahindra & Mahindra
4.10 Ponsse
4.11 Rottne
4.12 SDF
4.13 Tigercat
4.14 Vermeer

5 Aftermarket Solution Providers
5.1 Precision farming
5.1.1 Ag Leader Technology
5.1.2 Agjunction
5.1.3 DICKEY-john
5.1.4 Farmers Edge
5.1.5 Hexagon
5.1.6 Lacos
5.1.7 Raven Industries
5.1.8 Topcon Positioning Systems
5.1.9 Trimble
5.1.10 UniStrong
5.1.11 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 Campbell Scientific
5.3.2 Davis Instruments
5.3.3 Fieldin
5.3.4 Prointegra
5.3.5 Pessl Instruments
5.3.6 Semios
5.3.7 Sencrop
5.3.8 Trapview
5.3.9 Weenat
5.4 Water management
5.4.1 Arable Labs
5.4.2 AquaSpy
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
5.5 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 Stellapps
5.5.15 Zoetis
5.6 Agricultural software
5.6.1 365FarmNet
5.6.2 Agrivi
5.6.3 BASF
5.6.4 Bushel
5.6.5 The Climate Corporation (Bayer)
5.6.6 Conservis
5.6.7 Corteva Agriscience
5.6.8 Cropin
5.6.9 DKE-Data
5.6.10 Farmers Business Network
5.6.11 Isagri
5.6.12 Proagrica
5.6.13 Syngenta
5.6.14 Telus Agriculture & Consumer Goods

Glossary

List of Figures

Figure 1.1: Area and yield trend for wheat, rice, soybean and corn (World 2022) ….. 4
Figure 1.2: Moving 10-year average growth in crop yield (World 2022) …….. 5
Figure 1.3: Land use and agricultural land (World 2021) ………. 6
Figure 1.4: Top ten countries by planted area (World 2021) ……….. 7
Figure 1.5: Employment in agriculture (2021) …………… 8
Figure 1.6: The agribusiness value chain ………….. 10
Figure 1.7: Major crop production statistics (World 2022) ………… 10
Figure 1.8: Leading producers of major crops (World 2022) ……….. 11
Figure 1.9: Meat and milk production statistics (World 2022) ………. 12
Figure 1.10: Live animal stock (World 2021) ……………. 13
Figure 1.11: Agricultural commodity prices (2000-2023) ………… 13
Figure 1.12: Population in billion (World) …………… 15
Figure 1.13: Use of cereal grains (World 2022) ………….. 15
Figure 1.14: Examples of agricultural equipment ………….. 20
Figure 1.15: Example of central-pivot irrigation equipment ……….. 21
Figure 2.1: Smart farming infrastructure overview …………. 26
Figure 2.2: ISOBUS connector ……………. 27
Figure 2.3: Real-Time Kinematic correction service with drones ……… 31
Figure 2.4: Example of smart farming backoffice segment ……….. 35
Figure 2.5: Example of a yield monitor …………… 38
Figure 2.6: Example of a yield map …………….. 39
Figure 2.7: Example of a tractor-mounted crop sensor ……….. 40
Figure 2.8: Example of a crop spraying drone ………… 41
Figure 2.9: Example of an in-field weather station …………. 44
Figure 2.10: Examples of monitored variables in precision livestock farming……. 46
Figure 2.11: Examples of AMS and AMR milking robots ………… 48
Figure 2.12: Wearable devices for cattle monitoring ………… 50
Figure 3.1: Unit shipments and installed base by segment (World 2022–2027) …… 56
Figure 3.2: Unit shipments and installed base by region (World 2022–2027) ……. 58
Figure 3.3: Unit shipments and installed base by technology (World 2022–2027) ….. 60
Figure 3.4: Precision agriculture market value (World 2022–2027) …….. 62
Figure 3.5: Agricultural drones market value (World 2022–2027) ………. 63
Figure 3.6: Livestock activity monitoring solutions market value (World 2022–2027) …. 65
Figure 3.7: AgGateway’s ADAPT framework …………… 70
Figure 3.8: Revenues of top providers of crop protection chemicals and seeds ….. 72
Figure 3.9: Financial data for farm equipment companies active in precision agriculture … 74
Figure 3.10: Financial data for precision technology companies …….. 75
Figure 3.11: Financial data for top providers of dairy equipment …….. 76
Figure 3.12: Top 10 mobile operators by IoT connections (World Q4-2022) …….. 78
Figure 3.13: M&A activity among companies active in smart farming (2020–2021) …… 79
Figure 3.14: M&A activity among companies active in smart farming (2021–2023) …… 80
Figure 3.15: Total funding in FMS, sensing and IoT start-ups (2015–2022) ……. 84
Figure 4.1: Precision Planting – Panorama data app ……….. 91
Figure 4.2: CLAAS Group’s CEMIS 1200 display ………….. 95
Figure 4.3: AGXTEND’s NirXact hardware ……………. 98
Figure 4.4: The John Deere connectivity family ………… 101
Figure 4.5: John Deere Precision Forestry including JDLink………. 103
Figure 4.6: Kubota Precision Farming products ………….. 108
Figure 4.7: Overview of SDF Smart Farming Solutions ………… 113
Figure 4.8: Tigercat telematics – RemoteLog and LogOn ……….. 114
Figure 4.9: Vermeer Telematics interface …………… 116
Figure 5.1: Ag Leader Technology’s InCommand 1200 ……….. 119
Figure 5.2: Hexagon’s HxGN AgrOn Core Box …………. 123
Figure 5.3: Raven Industries’ Slingshot Field Hub 2.1 ……….. 126
Figure 5.4: Topcon Positioning Systems’ CL-55 cloud connectivity device …….. 128
Figure 5.5: Trimble’s R750 Modular GNSS Receiver …………. 130
Figure 5.6: Hemisphere GNSS’ Atlas correction service ………. 132
Figure 5.7: Yara’s N-Sensor ALS 2…………….. 134
Figure 5.8: AgEagle’s eBee Ag Drone for aerial imagery ………… 135
Figure 5.9: DJI’s Agras T40 crop spraying drone ………… 138
Figure 5.10: Hylio’s crop spraying drone ……………. 140
Figure 5.11: Sentera’s PHX fixed-wing drone for aerial imagery ………. 142
Figure 5.12: TTA’s M6E-G300 crop spraying drone ……….. 143
Figure 5.13: The WingtraOne Gen II VTOL drone for aerial imagery ……. 144
Figure 5.14: XAG’s P Series crop spraying drone ………….. 145
Figure 5.15: Davis Instruments’ Vantage Pro2 GroWeather Sensor Suite ……. 147
Figure 5.16: Pessl Instruments’ iMETOS 3.3 weather station ……… 150
Figure 5.17: Semois’ remote monitoring platform ………….. 152
Figure 5.18: Sencrop’s Raincrop connected weather station ……… 153
Figure 5.19: Trapview’s insect trap for pest monitoring and control ……. 154
Figure 5.20: The Arable Mark 3 sensor system ………… 157
Figure 5.21: CropX’s farm management system …………. 159
Figure 5.22: Libelium One IoT gateway …………… 162
Figure 5.23: The Zimmatic 712C control panel …………. 163
Figure 5.24: Netafim’s irrigation operating system GrowSphere ………. 165
Figure 5.25: Pycno’s soil moisture sensors network …………. 166
Figure 5.26: Valley 365 platform modules ………….. 169
Figure 5.27: Afimilk’s AfiAct II leg-mounted monitoring solution ………. 171
Figure 5.28: CowManager’s herd management system ……….. 173
Figure 5.29: The DeLaval Plus farm management system ………. 176
Figure 5.30: GEA Group’s CowScout collar ………….. 179
Figure 5.31: Moocall’s tail-mounted Calving Sensor …………. 183
Figure 5.32: The 365Active solution …………… 187
Figure 5.33: Xarvio Connect’s workflow …………… 189
Figure 5.34: DKE-Data’s Agrirouter ……………. 195