Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography
The Artificial Intelligence (AI) In Agriculture market delves into the possible growth opportunities for the global Artificial Intelligence (AI) In Agriculture market and the chronological growth of the market throughout the forecast period.
Cognitive Market Research provides detailed analysis of AI in Agriculture Market in our recently published report titled, "AI in Agriculture Market 2020" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the AI in Agriculture market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting AI in Agriculture market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc.
This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
The global Vertical Farming Market is expected to reach USD 9.9 billion by 2025 owing to rise in use of IoT (Internet of Things) for agriculture and crop production.
Expert consultation on the application of artificial intelligence in precisio...ExpertsConsult
Precision Agriculture is a modern farming concept that uses information technology to ensure that the crops are well maintained and to optimize their health and overall productivity.
The Artificial Intelligence (AI) In Agriculture market delves into the possible growth opportunities for the global Artificial Intelligence (AI) In Agriculture market and the chronological growth of the market throughout the forecast period.
Cognitive Market Research provides detailed analysis of AI in Agriculture Market in our recently published report titled, "AI in Agriculture Market 2020" The market study focuses on industry dynamics including driving factors to provide the key elements fueling the current market growth. The report also identifies restraints and opportunities to identify high growth segments involved in the AI in Agriculture market. Key industrial factors such as macroeconomic and microeconomic factors are studied in detail with help of PESTEL analysis in order to have a holistic view of factors impacting AI in Agriculture market growth across the globe. Market growth is forecasted with the help of complex algorithms such as regression analysis, sentiment analysis of end-users, etc.
This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
The global Vertical Farming Market is expected to reach USD 9.9 billion by 2025 owing to rise in use of IoT (Internet of Things) for agriculture and crop production.
Expert consultation on the application of artificial intelligence in precisio...ExpertsConsult
Precision Agriculture is a modern farming concept that uses information technology to ensure that the crops are well maintained and to optimize their health and overall productivity.
Agri Tech Startups: Redefining Indian AgricultureShailesh Herale
This presentation highlights the concept of startup and current scenario of agritech startups, government support/incubators/ accelerators related to agritech startup, bottlenecks for agritech startups in India and case studies highlighting innovative agritech solutions.
Mercer Capital's Value Focus: Agribusiness | Q4 2019 | Segment: Agriculture T...Mercer Capital
Mercer Capital's Agribusiness Industry newsletter provides perspective on valuation issues. Each newsletter also includes a sector focus, commodity pricing, comparable public company metrics, and key indices of the top agribusinesses.
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
Tipping Point in Digital Extension Advisory Systems: Empirical Evidences from...Shaik N. Meera
Future Extension and Advisory Services (EAS) across the globe need to innovate and strategize the use of disruptive technologies such as mobile/cloud computing, Internet of Things, big data analytics, location-based social networks, blockchain technologies etc. Use of digital technologies in rural advisories has been documented well in past two decades, but there has been no cross learning between organizations, extension organizations, value chain stakeholders and farmers.
These experiments suggest that rice industry can realize disruptive innovations in extension delivery with the help of big data analytics for mapping inputs supply and marketing, location based services for resource tracking & dynamic distribution, virtual pooling for higher market prices, weather fore-warning, proximity-based notification (push or pull) of advisories and targeted advertising. This presentation deals with few tipping point pilots undertaken in Indian rice industry.
#Organic Companies like #Sresta & #Timbaktu-Collective are always working to ensure only the very best reaches their customers. They have adopted Cropin #smartfarm and are always connected with their farms 24X7 from anywhere!
They have gained customers' trust by empowering them with #traceability: "Customer can take a walk through your farms by a simple scan of a QR/Bar code".
Read for more: http://eepurl.com/btxZZz
Try it at: smartfarm.cropin.in
Food 4.0: Data Driven Agri-Food SystemsDeepak Pareek
Presentation delivered as Expert Speaker on "Food 4.0: Technology to make food and agriculture sector SAFE for Consumers EFFICIENT for Stake Holders and PROFITABLE for Growers" at CTO Forum focused on the "Impact of Artificial Intelligence" hosted by Tamil Nadu Technology Development & Promotion Centre at CII South Zone Headquarters on 16th November 2018.
M2M/IoT Applications in the Agricultural Industryjohanfagerberg
How will the market for agricultural M2M and IoT applications evolve in 2018 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 10.0 percent from 17.0 million connections at the end of 2016 to 27.4 million connected devices by 2021. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. Get up to date with the latest information about vendors, products and markets.
Precision agriculture Market PPT 2021: Size, Growth, Demand and Forecast til...IMARC Group
According to the latest report by IMARC Group,the global precision agriculture market exhibited strong growth during 2015-2020.
Precision agriculture, also known as satellite agriculture, refers to one of the most popular innovations in modern farming.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
Smart Irrigation Market with COVID-19 Impact Analysis by System Type (Weather-Based, Sensor-Based), Application (Smart Greenhouse, Open Field, Residential, Golf Courses, Turf & Landscape), Component (Controllers, Sensors, Water Flow Meters), and Geography
Extentia designed for one of its global agribusiness clients, an Android mobile app which tracks farm cultivation and yields. The app enabled their field supervisors to collect data accurately and make real-time decisions in sync with the headquarters. This project serves as a good example of Extentia’s experience and expertise in digital transformation solutions, agriculture domain knowledge and enterprise mobility solutions.
Read more at: http://www.extentia.com/blog/digital-transformation-in-agriculture
http://www.extentia.com/agriculture/
Level Sensors Market by Technology (Contact ( Magnetostrictive, Vibratory Probe), and Noncontact (Ultrasonic, Optical)), Monitoring Type (Continuous Level Monitoring, and Point Level Monitoring), End-Use Application, and Geography
Agri Tech Startups: Redefining Indian AgricultureShailesh Herale
This presentation highlights the concept of startup and current scenario of agritech startups, government support/incubators/ accelerators related to agritech startup, bottlenecks for agritech startups in India and case studies highlighting innovative agritech solutions.
Mercer Capital's Value Focus: Agribusiness | Q4 2019 | Segment: Agriculture T...Mercer Capital
Mercer Capital's Agribusiness Industry newsletter provides perspective on valuation issues. Each newsletter also includes a sector focus, commodity pricing, comparable public company metrics, and key indices of the top agribusinesses.
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
Tipping Point in Digital Extension Advisory Systems: Empirical Evidences from...Shaik N. Meera
Future Extension and Advisory Services (EAS) across the globe need to innovate and strategize the use of disruptive technologies such as mobile/cloud computing, Internet of Things, big data analytics, location-based social networks, blockchain technologies etc. Use of digital technologies in rural advisories has been documented well in past two decades, but there has been no cross learning between organizations, extension organizations, value chain stakeholders and farmers.
These experiments suggest that rice industry can realize disruptive innovations in extension delivery with the help of big data analytics for mapping inputs supply and marketing, location based services for resource tracking & dynamic distribution, virtual pooling for higher market prices, weather fore-warning, proximity-based notification (push or pull) of advisories and targeted advertising. This presentation deals with few tipping point pilots undertaken in Indian rice industry.
#Organic Companies like #Sresta & #Timbaktu-Collective are always working to ensure only the very best reaches their customers. They have adopted Cropin #smartfarm and are always connected with their farms 24X7 from anywhere!
They have gained customers' trust by empowering them with #traceability: "Customer can take a walk through your farms by a simple scan of a QR/Bar code".
Read for more: http://eepurl.com/btxZZz
Try it at: smartfarm.cropin.in
Food 4.0: Data Driven Agri-Food SystemsDeepak Pareek
Presentation delivered as Expert Speaker on "Food 4.0: Technology to make food and agriculture sector SAFE for Consumers EFFICIENT for Stake Holders and PROFITABLE for Growers" at CTO Forum focused on the "Impact of Artificial Intelligence" hosted by Tamil Nadu Technology Development & Promotion Centre at CII South Zone Headquarters on 16th November 2018.
M2M/IoT Applications in the Agricultural Industryjohanfagerberg
How will the market for agricultural M2M and IoT applications evolve in 2018 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 10.0 percent from 17.0 million connections at the end of 2016 to 27.4 million connected devices by 2021. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. Get up to date with the latest information about vendors, products and markets.
Precision agriculture Market PPT 2021: Size, Growth, Demand and Forecast til...IMARC Group
According to the latest report by IMARC Group,the global precision agriculture market exhibited strong growth during 2015-2020.
Precision agriculture, also known as satellite agriculture, refers to one of the most popular innovations in modern farming.
Presentation for a group of employees of Centric, a large software consultancy company. It provides an illustration of how IoT is currently being developed in farming, agri-logistics and food consumption. It also addresses the technical and organizational challenges that have to be overcome to make IoT application in agri-food a success. Open platforms and software development and above all appropriate business models are key issues that have to be addressed. The new EU-project "Internet of Food and Farm 2020" will address these issues by fostering a collaborative IoT ecosystem to upscale the use of IoT in agri-food.
Smart Irrigation Market with COVID-19 Impact Analysis by System Type (Weather-Based, Sensor-Based), Application (Smart Greenhouse, Open Field, Residential, Golf Courses, Turf & Landscape), Component (Controllers, Sensors, Water Flow Meters), and Geography
Extentia designed for one of its global agribusiness clients, an Android mobile app which tracks farm cultivation and yields. The app enabled their field supervisors to collect data accurately and make real-time decisions in sync with the headquarters. This project serves as a good example of Extentia’s experience and expertise in digital transformation solutions, agriculture domain knowledge and enterprise mobility solutions.
Read more at: http://www.extentia.com/blog/digital-transformation-in-agriculture
http://www.extentia.com/agriculture/
Level Sensors Market by Technology (Contact ( Magnetostrictive, Vibratory Probe), and Noncontact (Ultrasonic, Optical)), Monitoring Type (Continuous Level Monitoring, and Point Level Monitoring), End-Use Application, and Geography
Application Processor Market by Device Type (Mobile Phones, PC Tablets, Smart Wearables, and Automotive ADAS & Infotainment Systems), Core Type (Octa-core, Hexa-core, Quad-core, Dual-core, and Single-core), Industry, and Geography - Global Forecast to 2023
Position Sensor Market with COVID-19 Impact Analysis by Type (Linear and Rotary), Application (Machine Tools, Robotics, Motion Systems, Material Handling, TEST Equipment), Contact Type, Output, End-User Industry, and Geography - Global Forecast to 2025
Position Sensor Market with COVID-19 Impact Analysis by Type (Linear and Rotary), Application (Machine Tools, Robotics, Motion Systems, Material Handling, TEST Equipment), Contact Type, Output, End-User Industry, and Geography
Position Sensor Market with COVID-19 Impact Analysis by Type (Linear and Rotary), Application (Machine Tools, Robotics, Motion Systems, Material Handling, TEST Equipment), Contact Type, Output, End-User Industry, and Geography
Farm Management Software Market with Covid-19 Impact Analysis by Application (Precision Farming, Livestock, Aquaculture), Offering (On-cloud, On-premise, Data Analytics Services), Farm Size, Production Planning, and Geography - Global Forecast to 2026
Smart Irrigation Market with COVID-19 Impact Analysis by System Type (Weather-Based, Sensor-Based), Application (Smart Greenhouse, Open Field, Residential, Golf Courses, Turf & Landscape), Component (Controllers, Sensors, Water Flow Meters), and Geography
Smart Irrigation Market with COVID-19 Impact Analysis by System Type (Weather-Based, Sensor-Based), Application (Smart Greenhouse, Open Field, Residential, Golf Courses, Turf & Landscape), Component (Controllers, Sensors, Water Flow Meters), and Geography
Space Mining Market by Phase (Spacecraft Design, Launch, and Operation), Type of Asteroid (C-Type, M-Type, S-Type), Application (Construction, Fuel, and Others), Asteroid Distance, Commodity Resources, and Geography
Photovoltaic Market with COVID-19 Impact, by Component (Modules, Inverters), Material (Silicon, Compounds), Installation Type (Ground Mounted, BIPV), Application (Residential, Commercial & Industrial, Utilities) and Region
Postal Automation System Market by Component (Hardware, Software, and Services), Technology (Culler Facer Canceller, Letter Sorter, Flat Sorter, Parcel Sorter), Application (Government, and Courier, Express & Parcel), and Region
5G Enterprise Market by Network Type (Hybrid Network, Private Network), Operator Model, Infrastructure, Spectrum, Frequency Band, Organization Size, Application, Vertical, Region - Global Forecast to 2027
Electron Beam Machining Market by Application (Welding, Surface Treatment, and Drilling), Industry (Automotive and Aerospace & Defence), and Geography (North America, Europe, Asia Pacific, RoW)
Industrial Refrigeration System Marketsagarkangude
Industrial Refrigeration System Market with COVID-19 Impact Analysis by Component (Compressor, Condenser, Evaporator), Application (Fruit & Vegetable Processing, Refrigerated Warehouse), Refrigerant Type, and Region
Ball Valves Market With COVID-19 & Oil Price Crisis Impact Analysis By Type (Trunnion-mounted, Floating, Rising Stem), Material, Size, End-User (Oil & Gas, Energy & Power, Water & Wastewater Treatment), and Region
Fuel Management System Market by Offering (Hardware, Software, and Services), Application (Fuel Storage Monitoring, and Access Control & Fuel Dispensing), Industry (Transportation & Logistics, and Oil & Gas), and Geography
Building Information Modeling Market (BIM) with COVID-19 Impact Analysis by Type (Software, Services), Application (Buildings, Civil Infrastructure, Industrial), End-User (AEC, Contractors and Facility Managers), Project Lifecycle, and Region
Fire Suppression Market by Product (Fire Suppressors, Fire Detectors and Control Panels, Sprinklers, Nozzles, Caps, and Control Heads), Suppression Reagent, Sector (Residential, Commercial, Industrial), and Region
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. Scope of The Report
Research report categorizes the Artificial Intelligence in Agriculture Market
based on Technology, Offering, Application and Geography.
And More…
By Technology
• Machine Learning
• Computer Vision
• Predictive Analytics
By Offering
• Software
• Hardware
• AI-as-a-Service
• Services
3. Key Segments
AI in agriculture market in APAC projected to register highest CAGR from
2020 to 2026
The market growth is propelled by the increasing implementation of data
generation through sensors and aerial images for crops, increasing crop
productivity through deep-learning technology, and government support
for the adoption of modern agricultural techniques.
Browse 81 market data Tables and 40 Figures spread through 152
Pages and in-depth TOC on "Artificial Intelligence in Agriculture
Market”
By application, drone analytics segment projected to register highest CA
GR during forecast period
By technology, computer vision segment to register highest CAGR during
forecast period
The overall AI in agriculture market is projected to grow from an
estimated USD 1.0 billion in 2020 to USD 4.0 billion by 2026, at a CAGR of
25.5% between 2020 and 2026.1
2
3
4
5
4. Artificial Intelligence in Agriculture Market Growth Rate
2026
Market Size of $
1.0 billion
Market Size of
$ 4.0 billion
2020
CAGR of 5.9%
5. Key Vendors
Vendors
View Report Here - https://www.marketsandmarkets.com/Market-Reports/ai-in-a
griculture-market-159957009.html
• International Business Machines Corp. (IBM) (US)
• Deere & Company (John Deere) (US)
• Microsoft Corporation (Microsoft) (US)
• Farmers Edge Inc. (Farmers Edge) (Canada)
• The Climate Corporation (Climate Corp.) (US)
• ec2ce (ec2ce) (Spain)
• AgEagle Aerial Systems (AgEagle) (US)
6. Top Region..
• North America
• Europe
• APAC
• RoW
View Report Here - https://www.marketsandmarkets.com/Market-Reports/ai-in-agriculture-market-159957009
.html
7. 1. How will these developments impact the AI in agriculture market in the mid- and long-term?
2. What are the prevalent trends in the AI in agriculture market?
3. What are the key strategies adopted by leading companies in the AI in agriculture market?
Key Questions Answered in Our Report
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