IoT Applications in the Agricultural Industry - 4th Edition

Table of Contents

Table of Contents

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

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