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AgTech

 

Digital Transformation potential in AgTech

Digital technologies hold tremendous potential to transform the Agriculture sector by improving the efficiency of farming methods, resulting in better utilisation of resources and energy. The core driver behind rising adoption of digital technologies in this sector is the need for sustainable and consistent production, helping the industry overcome the challenge of high food demand with limited resources (especially water and land), climate change and increasing cost of labour and raw materials.

Digital transformation in Agriculture incorporates the use of granular monitoring techniques (with sensors), drones, agricultural vehicles and robots to optimise the use of resources (seed, fertilizers, water) and quickly react to threats (weeds, pests, fungi). Most of the DX solutions discussed in this document benefit businesses by improving yields, enhancing the quality of crops, improving farm productivity and reducing production costs (including labour costs). Furthermore, they significantly contribute towards sustainability goals by reducing water usage, food wastage, preventing groundwater contamination, and reducing the amount of fuel used in trips taken by farmers for monitoring fields.

Nine key domains of change in AgTech

Overall, we have identified nine key domains of change in the Agriculture sector that are enabled by digital transformation, as illustrated below.

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These domains of change are discussed in more detail in our report Digital Transformation in the Agriculture Sector:

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The domains of change discussed in the report comprise:

  • Crop Management refers to monitoring of crop, soil and plant conditions via in-field sensors or satellite imagery by collecting and analysing data such as temperature, moisture and fertility.
  • Automatic Irrigation Systems considers automation of irrigation activity based on data collected from Crop Management sensors, smart weather stations, weather reports, and other environmental factors.
  • Livestock Management considers the use of digitally transformative technologies for monitoring the health and location of livestock.
  • Indoor Vertical Farming and Smart Greenhouses includes use of technologies in controlled environments, customised to the vegetation needs in a greenhouse or indoor farms (using hydroponics or aeroponics).
  • Drone Farming refers to the use of drones to enhance various agricultural practices including crop health assessment, irrigation, field analysis, crop spraying and planting.
  • Farm Automation and Robots includes all automation solutions (not included elsewhere) used to undertake repetitive labour-intensive tasks performed by farmers, particularly robots used for harvesting, seeding, weeding, and autonomous vehicles such as tractors.
  • Farm Management includes platforms for integration of data collected from all devices and sources for maximising productivity, farm planning and managing operations.
  • Produce Monitoring covers the use of digital transformation technologies in post-harvesting but before processing operations; mainly focussing on quality control & sorting in farm storage.
  • Supply Monitoring encompasses tracking of input resources such as fertilizers, fuel/diesel, feed (in livestock farming) and water.

Collectively, the activities listed above will bring significant changes to the AgTech sector.

IoT and AgTech

IoT is one of the key technology groups impacting the Agriculture sector and further detail and analysis of key IoT applications for the Agriculture sector can be found in Transforma Insight’s Forecast Insight Reports. Some of these applications are directly relevant to the sector, whilst others are only indirectly related.

Directly related IoT applications and Forecast Insight Reports include:

  • Crop and Aquaculture Management
  • Unmanned Non-Road Vehicles – The Unmanned Non-Road Vehicles Application Group represents autonomous wheeled and tracked vehicles used for transporting materials, performing specific tasks or other similar activity in verticals such as agriculture, construction, mining, manufacturing, baggage handling, warehousing, space exploration or emergency response. The types of vehicles covered in this Application Group include forklifts, bomb-disposal vehicles, portside automated vehicles, straddle carriers and other specialised vehicles. Although these vehicles will not be intended for on-road use, they may be capable of travelling on public highways.
  • Remote Process Control – Remote monitoring of equipment to manage the device in the context of a wider business process and to integrate machine data. Focused on industrial and agricultural processes. Includes factory automation, airport automation systems and baggage handling, and automated port systems. Excludes warehousing. Also part of this Application Group is crop irrigation, including connections to, and control systems for, systems that are deployed in the open air and also in closed environments such as greenhouses.
  • Unmanned Aquatic & Aerial Vehicles (Drones) – This Application Group consists of two main categories. Unmanned Aerial Vehicles comprises fixed wing and propellor powered unmanned aerial vehicles (UAVs) for military, government consumer or commercial use. Unmanned Aquatic Vehicles comprise small underwater and surface vehicles, typically for military use or exploration. Neither vehicle is designed to carry humans; automation of vehicles that carry humans (e.g. full sized planes or ships in automation mode) is covered under autonomous vehicles.
  • Worker Safety – Personal monitoring and support solutions for fire service, police, and emergency medical service personnel. Also includes lone worker safety in multiple vertical industrial contexts, particularly those involving dangerous environments such as logging and mining.
  • Asset Monitoring – This application group encompasses a variety of assets that are suitable for remote monitoring. This includes the monitoring of livestock and associated applications such as automated feeders. It also covers the monitoring of fitness equipment located in gyms and other shared contexts. Tracking and monitoring of equipment in ambulances is also incorporated as part of the healthcare vertical. Furthermore, this Application Group includes connected video gaming machines, gambling machines and other devices such as pachinko machines. Monitoring the condition, availability, and use of assets important to public health such as life rings and defibrillators is also present in this application group, including access to potentially dangerous infrastructure such as substations.
  • Environment Monitoring – The use of sensors to monitor for a diverse range of pollutants or other environmental factors. This might include CO2, flood water, radioactivity, seismic shock, or pollutants from industrial processes.

Indirectly related IoT applications and Forecast Insight Reports include:

  • Road Fleet Management – Road Fleet Management covers in-vehicle transportation logistics including job allocation, vehicle tracking, vehicle and driver monitoring, maintenance planning, safety compliance, fuel management, and incident management. It can be delivered as a service via a dedicated aftermarket device or through the factory-fit connectivity (accessed via the vehicle head unit). The forecast takes both heavy and light duty vehicles into consideration. It includes devices deployed in cars, vans, trucks and buses, along with heavy vehicles such as tractors, combine harvesters, pile drivers, tunnelling machines, cranes, and other off-road equipment. Fleet Management solutions are increasingly making use of in-vehicle cameras to monitor both outside the vehicle and within the cabin. These devices, and their consumer counterparts, can be found in the Dash Cams Application Group.
  • Global IoT Forecast Report, 2023-2033
  • Real World 'Visualisation' – Includes the use of Human Machine Interface (HMI), Augmented Reality (AR), and Virtual Reality (VR) devices such as smart connected glasses, such as Microsoft’s Hololens, or Google Glass, used in either a consumer or enterprise context; standard and ruggedised tablets that can be used to access information about machinery and processes (and more); and large scale video walls, either in the context of control rooms, or to support immersive experiences. To be included in this forecast a device must be standalone, and not attached to a specific machine. Devices must also support some level of enhanced human interaction with machines (and other information, or content) rather than simply existing to relay information from a device or accept commands. Beyond this scope lie innumerable generic tablets, laptops, mobile phones, and other computing devices that can also support some aspects of HMI by simple installation of an application (or access to suitable web pages).
  • Trigger Devices – Devices that exist to be triggered to indicate an action needs to be taken, typically something has been filled and needs to be emptied, or something is empty and needs be filled. Examples include buttons for room service, table service, the replenishment of communal supplies, mail delivery and collection boxes, and customer voting buttons.

Other content and related analysis

Besides the detailed sector-focussed content described above, Transforma Insights offers an extensive range of thematic- and vendor-focussed research that will prove invaluable to any end-user seeking to leverage new and emerging digitally transformative technologies.

Of particular note are our Vendor Insight and CSP Peer Benchmarking reports, which provide detailed profiles of leading vendors who might be able to support a range of end-user digital transformation projects.

Our Key Topic Insight reports focus on the qualitative aspects of Digital Transformation, including investigation of interesting or noteworthy topics.

Detailed analysis of regulations that might apply to digitally transformative projects around the world can be found in our Regulatory Database. Meanwhile, our Case Study Database contains more than 1,000 case studies of technology implementations. Each case study contains detailed information on the specifics of the deployment. Used in aggregate it can provide unrivalled guidance on project prioritisation, best practice and vendor selection.

Sector Report

Related Reports

All Reports
REPORT | AUG 07, 2024 | Nikita Singh ; Matt Arnott
This report provides Transforma Insights’ view on the Remote Process Control market. It comprises two applications: Industrial Remote Process Control and Crop Irrigation Systems. The Industrial Remote Process Control Application includes factory automation, airport automation systems, baggage handling, and automated port systems. Remote Process Control is suitable for multiple enterprise sectors including manufacturing, construction, and agriculture. Some of the primary drivers for its adoption are increased operational efficiency, worker safety, the creation of new business models, and cost savings for operators. Most of these solutions support the use of large and expensive equipment and can help to reduce maintenance bills and machine downtime. Several government initiatives such as Germany’s Industry 4.0, Made in China 2025, and Japan’s Society 5.0 have also been driving adoption and support, particularly in the manufacturing industry. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the IoT Forecast tool.
REPORT | MAY 01, 2024 | Suruchi Dhingra
Several new regulations are being introduced around the world to promote circular, sustainable, and responsible economies. The goals of these regulations are clear: businesses should deploy an efficient mechanism to review how they design, source, manufacture, dispose, reuse, and recycle products. Mechanisms often report carbon emitted at each stage to promote clean energy use, and also limit the use of harmful substances, increase the degree of reuse and recycling by material composition tracking, limit materials from certain countries, and ensure human rights obligations and thus, responsible sourcing. To track these metrics, most of these regulations stress the importance of visibility and traceability of products throughout the value chain. The accurate collection and reporting of data mandated by the regulations discussed in this report is impossible without employing digitally transformative technologies that enhance the tracking and traceability of the discussed elements. Intelligent track and trace that combines technologies such as distributed ledger, IoT, AI, and analytics will be essential to automate tracking, making it fast and efficient to trace products throughout their journey. The whole process is made efficient through the adoption of a range of techniques: Product identifiers: the key identifier information that a stakeholder needs to accurately identify a product and to access related information. Data sharing: a common standardised way to share information among all relevant stakeholders. Supply chain traceability: essential to prove provenance and qualifications by tracking the origin of materials and physical flow of goods through the value chain. IoT: all of the above drive the adoption of IoT as it enables accurate and efficient data collection. Digital supply chain twin: to virtually track journeys with change of state. Artificial intelligence: intersects with other technologies for additional insights. In this report, we discuss the major regulations (including the EU’s Batteries Regulation, Carbon Border Adjustment Mechanism, and End of Life Vehicles Directive and others and the USA’s Inflation Reduction Act, and various EV battery-related and other regulations from around the world) that are shaping the circular, ethical, and green economy. We also discuss the role technology plays in facilitating the requirements of supply chain transparency related regulations.
REPORT | FEB 20, 2024 | Paras Sharma
The use of video monitoring solutions has unlocked significant improvements, from round-the-clock surveillance for security purposes to object detection, gesture detection, facial recognition, and motion tracking across industries to gain real-time business insights and prescriptive analysis. Using video analytics, businesses can unlock greater value by analysing spatial and temporal information, provide instant alerts in the event of anomaly detection, and take actions when rules are flouted. Business opportunities, deployment challenges, and stakeholder complexities vary across each application. The demand for video analysis is primarily driven by the benefits that it can bring like better operational efficiency, enhanced public safety, and decreased manual work. There is a wide range of applications that can make use of some or all of these business benefits to gain a competitive advantage and provide a quality service or product to the end-user. There are 23 applications, around 7% of the total applications found in our IoT forecast database, for which video analysis can potentially substitute for IoT devices. Livestock Monitoring, Traffic Monitoring, Parking Space Monitoring, Fire and Security Alarms, Patient Tracking, and Trigger devices are some of the key IoT applications which can be substituted with video analysis. As per our analysis, Security Alarms, Stock Level Monitoring, In-Vehicle Road Pricing Devices, and Fire Alarms are the top applications in terms of connected devices that can potentially be replaced by video analysis. The number of IoT devices for the above-mentioned applications is expected to grow from around 0.9 billion in 2022 to around 2.4 billion by 2032. Even though the share of IoT devices that can be replaced by video analytics is expected to be less than 10% during the forecast period, we cannot neglect the potential of video analysis due to its business benefits and varied use cases across applications. Additionally, in cases where video analytics can substitute for LPWA connections, this substitution may represent an upsell opportunity for mobile network operators and an opportunity to deploy a higher bandwidth connection.
REPORT | DEC 20, 2023 | Paras Sharma ; Matt Arnott
This report provides Transforma Insights’ view on the market for Worker Safety solutions involving the use of the Internet of Things. This segment comprises Emergency Services Personal monitoring and Lone Worker Safety. To provide a safe and worker-friendly environment, companies are ramping up their efforts to reduce workplace accidents and enhance the transparency and accountability of workers. Worker Safety solutions can help reduce human and capital loss due to on-site worker injuries. To address this market, manufacturers have developed connected wearable devices in multiple shapes and models which can be worn as armbands, insoles (for tracking a worker’s movement and posture), or as vests. Some devices are equipped with cameras and provide indoor and outdoor location tracking via GPS or beacons. Many devices offer SOS functionality in case of emergencies. The report provides a detailed definition of the sector, analysis of market development and profiles of the key vendors in the space. It also provides a summary of the current status of adoption and Transforma Insights’ ten-year forecasts for the market. The forecasts include analysis of the number of IoT connections by geography, the technologies used (including splits by 2G, 3G, 4G, 5G, LPWA, short range, satellite and others), as well as the revenue split between module, value-added connectivity and services. A full set of forecast data, including country-level forecasts, sector break-downs and public/private network splits, is available through the IoT Forecast tool.