IIoT in Agriculture

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The agriculture industry will undoubtedly become more important than ever before in the near future. According to the United Nations Food and Agriculture Organization, the world will need to produce 70% more food in 2050 than currently, in order to feed the growing population. Factors such as climate change, limited arable land, water scarcity, labour demand, distress migration, crop failures dues to outbreak in pests and diseases, and other variables will further aggravate this demand for global food production. To meet this demand, technology will play an important role, as farmers and agricultural companies are turning to the Industrial Internet of Things (IIoT). Global farm equipment manufacturers are looki

Key Features

1. Livestock management—IIoT can be used to increase and improve productivity and efficiency in livestock management. Using IIoT, farmers will be able to effectively manage their livestock and be able to monitor them at all times to prevent loss by theft or stray grazing. They would also be able to regularly monitor and assess the health of livestock, sending out signals around eating behaviour, impending illness, reproductive cycles, calving, and other issues. Moreover, sensors attached to cows can help farmers identify ideal lactating intervals when the cows would like to be milked. This can further create a positive impact on the amount and quality of milk production and also help in maintaining the health of cows.

2. Smart Irrigation—Traditional irrigation methods involved manual spraying and flood irrigation mechanisms. These manual mechanisms could, at times, result in over-watering, which can ruin crops and result in wastage of water, which is a precious commodity for agriculture. However, now, using modern irrigation methods like IIoT-based, remotely controlled spray irrigation mechanisms such as micro-sprinklers, drip lines, and central pivots, farmers can monitor and control several on-site variables such as soil type, sprinkler application rate, water schedule adjustments and so on.

3. Precision Farming—In order to address the numerous challenges in the agricultural industry, farmers globally are adopting a combination of advanced technologies such as:

  a. Robotics—Agribots are a fleet of agricultural robots that can be used in automated ploughing, 
      seeding, weed control, fertilizing, soil analysis and harvesting.

  b. Global Positioning System (GPS) Technology—This technology is being used for farm planning
      and mapping, soil sampling, farm vehicle guidance, crop scouting, variable rate applications, and
      yield mapping. GPS empowers farmers to work even during unfavourable field conditions such as
     low visibility during rain, dust, fog, and darkness.

  c. Automated Steering Systems—This technology helps farmers to focus on field planter, sprayer, or
     other farm equipment by enabling hands-free driving. Smart guiding systems further deploy
     different vehicle steering patterns depending on the plot areas and shape that can be used along
     with other field systems.

  d. Sensors and Remote Sensing—Sensors mounted on farm vehicles can help collect data from a
     remote location. This data can help in evaluating soil nutrient levels and crop health. Sensors
     embedded in the soil can help report weather conditions and monitor soil moisture. These
     sensors have emerged as a major use case in assessing optimal times to water, fertilise, or spray
     pesticides over crops. Using IIoT, the farmer can now have data on the best time to spray fertiliser
     or pesticide and where.

  e. Agricultural Drones—Also known as Unmanned Aerial Vehicles (UAVs), agricultural drones are
      short-range flying objects that can help monitor crop growth, thereby, increasing crop productivity.
      These devices are fitted with sensors and digital imaging capabilities and can collect data that can
      then be analysed and delivered as useful insights to farmers on a hand-held device.


Table of Contents

Executive SummaryKey FindingsIndustrial Internet of Things—A Research PerspectiveIIoT—Emerging Themes in the Industrial EnvironmentIIoT—Key Attributes of a Smart Factory Frost & Sullivan’s Value Proposition in IIOTFrost & Sullivan’s Value Proposition in IIOT (continued)Key Questions This Study Will AnswerIntroducing the Concept of IIoT in AgricultureIIoT in Agriculture—Key Topics Covered in This StudySmart Digital Farm—An OverviewEvolution of Smart Agriculture Why is Digitization Important for Agriculture?Farming 4.0 EcosystemIIoT in Agriculture—Key Technologies and PotentialKey Benefits of IIoT in the Agricultural Value ChainTop Areas Where IIoT Can Make a Difference in AgriculturePrecision AgricultureDigital Livestock Management Smart IrrigationIIoT in AquacultureIIoT in Forestry and HorticultureSmart Warehousing, Logistics, and DistributionIIoT in Farm Fleet ManagementDigital Initiatives by Agricultural OEMsJohn Deere—Precision Agriculture SolutionsNew Holland—Smart Fleet ManagementAGCO—Precision AgricultureEmerging Trends and Business Models in AgricultureDeconstructing the use of Drones-as-a-Data-Service in AgricultureEquipment-as-a-service (Eaas)Workload Automation—Emergence of Driverless technologiesGlobal Scenario in Smart Agriculture Outcome-based AgricultureAgricultural RoboticsSmart Farming—Global InitiativesGrowth OpportunitiesDigital Transformation—A Global OpportunityDigital Transformation—A Global Opportunity (continued)Strategic Imperatives for Success and Growth Key Challenges to AdoptionData Ownership in Smart FarmingInteroperability of Different StandardsMaking Sense of the Big Data From AgricultureThe Last WordKey Strategic ShiftsLegal DisclaimerThe Frost & Sullivan StoryThe Frost & Sullivan StoryValue Proposition: Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360º Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy

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