This report provides an analysis of the precision agriculture sector including investment trends, sub-sector breakdowns, and profiles of interesting companies. It finds that precision agriculture saw $967M in total funding between 2010-2016, with $477M in 2015-2016 alone. The report also analyzes the increasing number of companies founded since 2011 and investment trends by stage. It identifies the most active investors and sub-sectors like farm data/analytics and field operations. Finally, the report highlights several unfunded, seed-stage, and late-stage companies of interest in the precision agriculture space.
Tracxn Research: PaaS Landscape Report, August 2016Tracxn
aPaaS (application Platform as a Service), iPaaS (Integration platform as a Service), and mBaaS (mobile Backend as a Service) are the top three business models by funding.
Tracxn Report: Bioenergy Startup Landscape, June 2016Tracxn
The United States has the most number of bioenergy companies in all the sub categories - production, technology developer, feedstock, and energy generation, with India, UK and Canada in second or third place.
Tracxn Research: Healthcare Analytics Startup Landscape, July 2016Tracxn
Government launches the first of what would become 3,000,000 acres of land confiscations from Māori in Waikato, Taranaki, Bay of Plenty, and Hawke's Bay.
Tracxn Research — Fitness and Wellness Landscape, October 2016Tracxn
While startups focused on apps, devices and software platforms focused on physical health have attracted $2.7B, mental health startups, focused on sleep and stress management have only attracted $182M.
Tracxn Research: PaaS Landscape Report, August 2016Tracxn
aPaaS (application Platform as a Service), iPaaS (Integration platform as a Service), and mBaaS (mobile Backend as a Service) are the top three business models by funding.
Tracxn Report: Bioenergy Startup Landscape, June 2016Tracxn
The United States has the most number of bioenergy companies in all the sub categories - production, technology developer, feedstock, and energy generation, with India, UK and Canada in second or third place.
Tracxn Research: Healthcare Analytics Startup Landscape, July 2016Tracxn
Government launches the first of what would become 3,000,000 acres of land confiscations from Māori in Waikato, Taranaki, Bay of Plenty, and Hawke's Bay.
Tracxn Research — Fitness and Wellness Landscape, October 2016Tracxn
While startups focused on apps, devices and software platforms focused on physical health have attracted $2.7B, mental health startups, focused on sleep and stress management have only attracted $182M.
Tracxn Research — Immuno-Oncology Landscape, September 2016Tracxn
In 2015/16, five startups in this space — Stemcentrx, Gritstone Oncology, Hengrui Therapeutics, and Zai Lab secured big ticket funding rounds of $100 million and above.
Tracxn Research — Electric Vehicles Landscape, October 2016Tracxn
While the US is the leading nation when it comes to founding and funding activity in electric vehicles, China is catching up, with big ticket investments in electric car and battery companies in 2016.
Tracxn Research: Enterprise Collaboration Landscape, August 2016Tracxn
File synchronisation and sharing (Box, Dropbox), conferencing (BlueJeans Network, Fuze), and messaging and chat room (Slack, Symphony) are the top three business models, each having seen over a billion dollars in investments.
Tracxn Research: Enterprise Security Landscape, August 2016Tracxn
Network security, endpoint security, and BYOD security are the top three funded business models in the enterprise security sector, in which 10 business models have attracted $1B+ investments.
Tracxn Startup Research: Data as a Service Landscape, August 2016Tracxn
The top three funded sub-sectors till date are market intelligence (149 investments, $1.3B), financial data providers (158 investments, $1.2B), and geospatial data providers.
Tracxn Research: Mobile Advertising Landscape, August 2016Tracxn
Demand side platforms (xAd, Inc, Amobee), analytics (Marchex, Flurry), and data management platforms (Vserv, NinthDecimal) are the other top business models in mobile advertising.
Tracxn Startup Research - Online Grocery Landscape, August 2016Tracxn
Five companies — Big Basket (Bangalore, 2011), Benlai (Beijing, 2012), Thrive Market (Los Angeles, 2013), Fruit Day (Shanghai, 2009), and RedMart (Singapore, 2011) raised funding rounds of over $100M this year.
Tracxn Startup Research — Life Sciences Landscape, October 2016Tracxn
There were 20+ acquisitions in this space in 2016; IBM’s $2.6B acquisition of Truven Analytics, and Affymetrix’s acquisition by Thermo Fisher Scientific for $1.6B were the largest M&A events for the sector this year.
Tracxn Research — Business Intelligence Landscape, September 2016Tracxn
Tracxn's Business Intelligence 2016 report covers companies that develop and provide Business Intelligence (BI) & Analytics software. It also covers prominent industry specific BI solutions.
Tracxn Remittance Startup Landscape Report, July 2016Tracxn
Local in - Local out, B2B payments, and E-wallets are the top three business models by funding in the remittance sector, which has attracted investments of $730M in 2015/16.
This is the second presentation I was invited to give at the CAVI conference held in Galway, Ireland on October 12. it deals with precision dairy farming. A field that is coming up and growing in importance in modern dairy farming
Tracxn Research — Immuno-Oncology Landscape, September 2016Tracxn
In 2015/16, five startups in this space — Stemcentrx, Gritstone Oncology, Hengrui Therapeutics, and Zai Lab secured big ticket funding rounds of $100 million and above.
Tracxn Research — Electric Vehicles Landscape, October 2016Tracxn
While the US is the leading nation when it comes to founding and funding activity in electric vehicles, China is catching up, with big ticket investments in electric car and battery companies in 2016.
Tracxn Research: Enterprise Collaboration Landscape, August 2016Tracxn
File synchronisation and sharing (Box, Dropbox), conferencing (BlueJeans Network, Fuze), and messaging and chat room (Slack, Symphony) are the top three business models, each having seen over a billion dollars in investments.
Tracxn Research: Enterprise Security Landscape, August 2016Tracxn
Network security, endpoint security, and BYOD security are the top three funded business models in the enterprise security sector, in which 10 business models have attracted $1B+ investments.
Tracxn Startup Research: Data as a Service Landscape, August 2016Tracxn
The top three funded sub-sectors till date are market intelligence (149 investments, $1.3B), financial data providers (158 investments, $1.2B), and geospatial data providers.
Tracxn Research: Mobile Advertising Landscape, August 2016Tracxn
Demand side platforms (xAd, Inc, Amobee), analytics (Marchex, Flurry), and data management platforms (Vserv, NinthDecimal) are the other top business models in mobile advertising.
Tracxn Startup Research - Online Grocery Landscape, August 2016Tracxn
Five companies — Big Basket (Bangalore, 2011), Benlai (Beijing, 2012), Thrive Market (Los Angeles, 2013), Fruit Day (Shanghai, 2009), and RedMart (Singapore, 2011) raised funding rounds of over $100M this year.
Tracxn Startup Research — Life Sciences Landscape, October 2016Tracxn
There were 20+ acquisitions in this space in 2016; IBM’s $2.6B acquisition of Truven Analytics, and Affymetrix’s acquisition by Thermo Fisher Scientific for $1.6B were the largest M&A events for the sector this year.
Tracxn Research — Business Intelligence Landscape, September 2016Tracxn
Tracxn's Business Intelligence 2016 report covers companies that develop and provide Business Intelligence (BI) & Analytics software. It also covers prominent industry specific BI solutions.
Tracxn Remittance Startup Landscape Report, July 2016Tracxn
Local in - Local out, B2B payments, and E-wallets are the top three business models by funding in the remittance sector, which has attracted investments of $730M in 2015/16.
This is the second presentation I was invited to give at the CAVI conference held in Galway, Ireland on October 12. it deals with precision dairy farming. A field that is coming up and growing in importance in modern dairy farming
Tracxn Research — IoT Infrastructure Landscape, December 2016Tracxn
Twenty acquisition deals reported in the sector. Cisco’s acquisition of Jasper Networks for $1.4B is one of the biggest buyouts in the sector till date.
Tracxn Research - Event Management Landscape, January 2017Tracxn
Local event discovery platforms secured 90% of the total funding. 2016 marked a sector peak for this sector in term of total funding. The sector also witnessed 20 acquisition deals.
Tracxn Research — Insurance Tech Landscape, October 2016Tracxn
Our insurance tech report features an exhaustive Q&A with Patrick Kershaw and John Massey, Managing Partners at Leo Tech, and Andrea Traversone, Partner at Amadeus Capital Partners, who share their perspectives on market trends, investment outlook, areas of disruption, and more.
Tracxn Research — Artificial Intelligence Startup Landscape, September 2016Tracxn
Notable investments in 2016 include antivirus and endpoint protection vendor Cylance ($100M Series D), Digital Reasoning ($40M, Series D), and Globality, ($27M, Series B).
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
Tracxn Insurance Tech Landscape June 2016 ReportTracxn
Business models like Internet first insurers, enablers, distribution platforms, and P2P insurance, all have seen an uptick in number of companies founded.
Tracxn Research - Finance and Accounting Landscape, August 2016Tracxn
$3.3B has been invested in the finance and accounting startup landscape in 2015/2016, which witnessed the highest funding activity in 2015 ($2.6B, 124 rounds).
Artificial Intelligence: investment trends and applications, H1 2016Russia.AI
The presentation explores the current state of investing in AI, including its industrial split, and provides a detailed outlook on AI applications in Healthcare, Transportation and Industrial sectors.
BootstrapLabs - Tracxn Report - artificial intelligence for the Applied Arti...BootstrapLabs
This report covers companies that provide the infrastructure for creating Artificial Intelligence. These Infrastructure companies include those working on Machine Learning, Deep Learning based platforms, libraries. Some of theses companies also provide platforms for Natural Language Processing and Visual Recognition. In the Applications section, the report covers companies leveraging AI techniques to build applications tailored for end use in Enterprise, Industry & Consumer sectors.
Over $1B has been invested in AI-Infrastructure startups since 2010 with ¬$340M being invested in 2015. Over $7.5B has been invested in AI-Applications startups since 2010 with $2.3B being invested in 2015.
Tracxn Research — Big Data Infrastructure Landscape, September 2016Tracxn
Following a rather muted 2015, the year 2016 witnessed an impressive bounce back by the big data sector, with a total funding of $1.1B secured in 37 rounds.
IoNT is a network of nanoscale devices, sensors, and machines integrated into everyday physical objects that are connected to the Internet for effective data communication. It improves operational efficiency by increasing the pace of communication over the existing infrastructure and enhances business productivity in any industrial setup. IoNT focuses on improving the process capabilities by expanding the data storage and computing capacity at the basic sensor level. The IoNT is embedded with nanotechnology allowing integration of nanoscale devices with the existing communication infrastructure and the Internet. It creates smart communication environments, such as smart homes, smart shopping, smart transportation, and smart healthcare. The IoNT can efficiently monitor and manage many interconnected nanoscale devices.
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Tracxn - Southeast Asia Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Sustainability Tech Report https://tracxn.com/fm/dl/MnFvJ6UKhc9y
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in High Tech - 27 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in High Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPUx5U0Qya01PRm9QbHJCTUM0UG9QVFJUeWJselF0RHJzSGU0dFlWMG5uWEk%3D
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Tracxn - Top Business Models in Vietnam Tech - 20 Oct 2023Tracxn
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Tracxn - Top Business Models in Singapore Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in New Zealand Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in United Kingdom Tech - 18 Oct 2023Tracxn
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Tracxn -Top Business Models in Transportation and Logistics Tech - 17 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Transportation and Logistics Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVBPc1FQMG5DTmM2TnZwUDY4MXJmOXhFYmNZVHFJQW9jS3pURURaQ1F2MWc%3D
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Tracxn - United Kingdom Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in Sustainability Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPXJkUTJQSW56TEZpVU9BamlmWlpzY2dyMFVSNjJrU2NLcndfM3ZGUWZSRDg%3D
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
3. Precision Agriculture Report, August 20163
Contents
Topic Page No.
Scope of Report 05
Entrepreneur Activity 07
Investment Trend 10
Who is Investing 17
Exit Outlook - IPO, Acquisitions 21
Sub Sector Analysis 23
Interesting Companies 32
Useful Links 37
Company List 39
Team 123
4. Precision Agriculture Report, August 20164
Illustrative Sectors We Track
ENTERPRISE
INFRASTRUCTURE
CONSUMER
SECURITY
STORAGE
NETWORKING
MOBILITY
IT OPS
CLOUD INFRASTRUCTURE
API MANAGEMENT
BIGDATA INFRASTRUCTURE
FOOD TECH
SECOND HAND GOODS
AGRITECH
FINTECH
PRECISION AG
BIOTECH
FARM MANAGEMENT
MARKET LINKAGES
INFRASTRUCTURE
AGRIBUSINESS
INDOOR AGRICULTURE
PROCESSING TECH
BITCOIN
PAYMENTS
MOBILE
TECHNOLOGY
MOBILE COMMERCE
MOBILE PAYMENTS
MOBILE MARKETING
MOBILE DEV TOOLS
MOBILE HEALTH
MOBILE GAMING
MOBILE LEARNING
MOBILE COMMUNICATION
Internet of Things
Industrial Robotics
ENTERPRISE
APPLICATIONS
HEALTHCARE
SAAS
MOBILE-FIRST ENT. APPS
INTELLIGENT ENT. APPS
OPEN SOURCE
RETAIL TECH
MARKETING TECH
STEALTH MODE
VERTICAL SAAS
LIFE SCIENCES
DIGITAL HEALTH
5. Precision Agriculture Report, August 20165
Sector Overview
Scope of report
This report includes:
This report covers a study on companies leveraging technologies such as wireless sensors, internet of things, predictive
analytics, machine learning, machine vision, image processing for Normalized Difference Vegetation Index (NDVI) and multi
spectral analysis, etc. for supporting planning and operations in open field farming, livestock and aquaculture.
This report excludes:
This report excludes companies supporting indoor agriculture, and ERP platforms for farm business management. Furthermore,
this report does not focus on companies from East Asia, especially China, Japan, North and South Korea.
Highlights
• Precision Agriculture saw a total of $967M of funding, of which $477M of investment happened in 2015 & 2016 YTD.
• The sector saw a steady rise in the number of companies founded since 2011 to 2014 and stabilized since then.
• Around 50% of the startups founded were from US, Israel and Canada; 38% of the startups founded were in the United
States alone.
The scope of this report includes equity as well as debt funding received by the companies.
6. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
6
7. Precision Agriculture Report, August 2016
19
23
45
66
69 69
0
16
32
48
64
80
2010 2011 2012 2013 2014 2015
NumberofCompanies
7
YoY – Number of companies founded
Semios Farmer's Business Network IntelinAir
QualySense
Blue River Tech
PrecisionHawk
FarmLogs
Swift Navigation
Resson Aerospace
CropX Sentera Agrilyst
9. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
9
9
10. Precision Agriculture Report, August 201610
YoY – Number of Rounds and Total Funding
Note: The funding includes debt rounds also.
$45M
$17M
$19M
$90M
$84M
$31M
$132M
$345M
$130M
5
5
7
10
19
28
55
70
40
0
16
32
48
64
80
0
80
160
240
320
400
2008 2009 2010 2011 2012 2013 2014 2015 2016 (YTD)
NumberofRounds
FundingAmount(inMillions)
Funding Amount Number of Rounds
16. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
6
16
17. Precision Agriculture Report, August 201617
Most Active Investors in Sector
9
4 4 4 4 4 4
3 3 3
0
2
4
6
8
10
Khosla
Ventures
Atomico First Round
Capital
Index
Ventures
KPCB NEA Start-Up Chile Andreessen
Horowitz
Avrio
Capital
Business
Development
Bank of Canada
TotalNumberofCompanies
The Climate
Corporation
Farmers Edge Agribots Solum Hortau Resson Aerospace
Solum Swift Navigation
Farmer's
Business Network
Swift Navigation Event 38 FarmLogs Hortau
The Climate
Corporation
The Climate
Corporation
The Climate
Corporation
The Climate
Corporation
20. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
0
20
21. Precision Agriculture Report, August 201621
Major Acquisitions in last one year
Year Company Acquirer Deal Size Overview
Total
Funding
2015 agintelmax.com
IntelMax Corp
( Belarus, 2013)
bayer.com
Developer of software for precision agriculture
2014 aparotors.com
Aerial Precision Ag
(Tempe, 2013)
roboflight.com
Easy to fly multirotor platform to captures HD video and photo images
for precision agriculture operations
2015 acrevalue.com
AcreValue
(San Francisco, 2015)
granular.ag Farmland value and productivity analytics platforms
2014 arvus.com.br
Arvus Tecnologia
(Florianopolis, 2004)
hexagonagriculture.
com
Hardware and software products for precision farming
2014 agpixel.com
AgPixel
(Johnston, 2011)
roboflight.com
Data processing software that turn aerial imagery into consumable
information
2014 solum.ag
Solum
(San Francisco, 2009)
climate.com Hardware and software solutions for precision farming $42.5M
2013 climate.com
The Climate
Corporation
(San Francisco, 2006)
monsanto.com $930M Climate data provider for farms $99.5M
22. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
2
22
23. Precision Agriculture Report, August 2016
August 2016Tracxn BlueBox : AgriTech
1200+ companies in the sector, 439 funded in last 5 years, $1.9B invested in 2015/16
23
24. Precision Agriculture Report, August 201624
Precision Agriculture : Deep Dive
$554M
$379M
0
120
240
360
480
600
Farm Data and Analytics Field Ops
TotalFundingAmount(inMillions)
# Cos. 301 79
Avg. Age 2011.22 2008.09
Top Business Models by Funding
Field
Operations (Ops)
HardwareFarm Data
& Analytics (F D & A)
$51M
$554M
UAVs
NovaDrone
Software Platforms
Farmer’s Business Network,
Weather Analytics
Field Crops
AutoAgronom, Novariant
Livestock
FeedLogic
Aquaculture
eFishery
Sensors
SupraSensors
Integrated Platforms
The Climate Corp,
PrecisionHawk
$100M
$454M
$379M
$678K
$377M
Market Map
31. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
3131
32. Precision Agriculture Report, August 201632
Interesting Unfunded Companies
Company Overview Business Model
ffrobotics.com
FFRobotics
(2014, Tel Mond)
Robotic fruit picker for orchards
Field Ops > Field Crops > Harvesting
yuktix.com
Yuktix
(2013, Bangalore)
Technology sensor products for remote monitoring and control of devices Farm Data and Analytics > Integrated
Platforms > Field Crops > On-Field Sensing
farmbot.io
FarmBot
(2015, Vancouver)
Autonomous farm operations system
Field Ops > Field Crops > Horizontal
keltronixinc.com
Keltronix
(2015, Santa Barbara)
A visual beehive and bee growth monitoring system Farm Data and Analytics > Integrated
Platforms > Insects
onewater.in
OneWater
(2015, Ahmedabad)
Soil and groundwater sensing and analytics product Farm Data and Analytics > Integrated
Platforms > Field Crops > On-Field Sensing
Curated list of companies by the sector analyst are defined as Interesting
36. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
3636
37. Precision Agriculture Report, August 201637
Useful Links
Slide Title Content Platform Link
List of All Companies in readable format Companies Link
Top investments in last one year Investment Trend Link
Major Acquisitions in last one year Exit Outlook - IPO, Acquisitions Link
Most Funded Companies Sub Sector Understand Link
38. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
3838
39. Precision Agriculture Report, August 201639
Precision Agriculture – Company List
DETAILS CLOSE TO 390 COMPANIES
(180 FUNDED COMPANIES)
COVERS THE FOLLOWING SECTORS
Farm Data & Analytics Field Operations (Ops) Hardware
40. Precision Agriculture Report, August 201640
Farm Data and Analytics (1/64)
Farm Data and Analytics Field Ops Hardware
Company Details Funding Investors
Integrated Platforms -
Aquaculture
The Yield [Sydney, 2014]: The Yield has developed hardware that comprises of sensors which can collect and
stream data over the network to the cloud which deploys its own developed analytics engine which provides
useful data for precision aquaculture through multiple user interfaces. Offers on a SaaS (software as a service)
model. Focusing on oyster farmers.
$4.2M Bosch
Integrated Platforms -
Aquaculture
4-Deep [Halifax, 2008]: 4Deep inwater imaging is a privately owned, Halifax-based ocean technology firm
specializing in the design, production and sale of submersible microscopes. These devices are used to monitor
water quality in real-time and are based upon the principle of digital in-line holography. Applications include
monitoring and quantifying oil in water, harmful algae monitoring, ship bilge and ballast tanks, oceanographic
research, aquaculture and algae-biofuel production. The submersible microscope is essential for applications
that require real-time, continuous, in-situ monitoring of water. The device is small, portable, robust, easy to
maintain, requires minimal training and is easily deployed in fresh and saltwater to obtain 3D images. The
system can count, size, characterize and track the movement of particles and microorganisms as small as a 1
micron and as large as several millimeters. Leveraging the intellectual talents and expertise of Atlantic Canada's
oil. freshwater and ocean communities, RO is active in hardware and software development and has received
numerous awards and grants acknowledging its commitment to product leadership and innovation. RO is
currently focused on using the submersible microscope for monitoring water quality. This includes deployment
in lakes, reservoirs and oceans to monitor for harmful algae species, phytoplankton and detection of oil. Users
are a combination of marine research institutes, government and public and private water authorities.
$500k y GUANGZHOU BOSMA CORP
Integrated Platforms -
Aquaculture
Marport Deep Sea Technologies [Newfoundland, 1997]: Marport Deep Sea Technologies Inc. engages in the
design and development of software defined sonar technology and products for various underwater sensing and
communication applications. The company offers wireless sensors, sounders, sonars, doppler current and sub
bottom profilers, acoustic monitoring devices, underwater modems, subsea positioning systems, autonomous
underwater vehicles/payloads, and visualization software. It also provides trawl monitoring sensors, panel PCs,
variable depth sonars, harbor surveillance sonars, underwater navigation systems, SDS transceivers, pelagic
trawlers/purse seiners, hull mounted sonars, and ocean going tuna seiners. The company caters to commercial
fisheries, underwater defense, offshore energy, and ocean science markets. It offers products through dealers in
Africa, the Asia-Pacific, Europe, New Zealand, North America, and South America.
Hastings Equity Partners, Admiralty
Partners
41. Precision Agriculture Report, August 201641
Farm Data and Analytics (2/64)
Company Details Funding Investors
Integrated Platforms -
Aquaculture
AquaCloud [San Mateo, 2015]: Aquacloud has developed monitoring device for municipalities and aquaculture
farms. Device when dropped into a body of water gives live parameter readings and analytics. Cloud based
platform allows remote monitoring of water body. Sensor currently detects temperature, pH, dissolved oxygen,
conductivity and company claims to be extending its capabilities.
Lemnos Labs, Bassin Ventures, Fresco
Capital
Integrated Platforms -
Aquaculture
Eruvaka [Vijayawada, 2012]: Eruvaka Technologies manufactures on-farm diagnostic equipment for
aquaculture farmers to reduce their risk and increase productivity. Offerings include integrated sensors, mobile
connectivity and decision tools for affordable aquaculture monitoring and automation. Its product, Floating
Buoy measures in real time the water parameters that are crucial for shrimp growth and survival and uploaded
onto the cloud. Real-time alerts for quality drops, aerator control for energy efficiency and cloud based analytics
to adjust feed based on water quality data are few of the offerings.
Omnivore
Integrated Platforms -
Aquaculture
Nilebot [Cairo, 2013]: Nilebot is a water quality monitoring system designed by Conative Labs. It monitors
various parameters such as water temperature, salinity, dissolved oxygen in an aqua farm through sensor based
technology and sends the data over cloud. The platform does predictive analysis and also sends notifications to
farm owners through mobile SMS for various farming activities and fluctuations along with corrective actions.
Orange, TIEC
Integrated Platforms -
Aquaculture
Acruxsoft [Montevideo, 2009]: Acruxsoft is a consultant as well as a software developer for precision fishing. It
has devleoped a fishing simulation software that analyses and provides geo-tagged info to the fishing boats
which it claims helps reduce the fishing time and increases the fish capture yield.
Prosperitas Capital Partners
Integrated Platforms -
Aquaculture
Atnic [Yogyakarta, 2015]: Atnic is a developer of IoT system for aquaculture. The system consists of water
sensors that detect dissolved oxygen levels, temperature, pH, total dissolved solids (TDS), etc. and stream the
data into a single device which communicates to the cloud. The cloud consists of its proprietary analytics
algorithms which analyse the data in real time. The real time updates are delivered on farmer's devices
including mobile (via SMS) and over the web.
Farm Data and Analytics Field Ops Hardware
42. Precision Agriculture Report, August 201642
Farm Data and Analytics (3/64)
Company Details Funding Investors
Integrated Platforms -
Aquaculture
Aquafarm [Singapore, 2015]: Aquafarm provides remote controlled wireless sensor technology tools for the
continuous monitoring of various parameters of big and medium sized farms for aquatic farming such as salinity
and temperature. The technology is focused towards the maintenance of optimal water conditions for aquatic
farming. The farmer can set the upper and lower limit for a parameter that is being monitored and the farmer
can access the monitored data at any time on mobile & upon seeing any fluctuation can take actions as per
requirement. Moreover, the captured data is stored in a cloud based storage platform and experts of aquafarm
provide the graphical trends and advise regarding the upkeep of farms.
Integrated Platforms -
Aquaculture
Water Insider [Kyiv, 2013]: Water Insider is a developer of water based sensor network and a cloud based
analytics platform. The sensors stream the water related data points like dissolved oxygen levels, particle
density, etc. to the cloud where it is analysed and actionable insights to reduce fish stress are provided to the
farmer through its web interface. The product and service are targeted at small and medium scale fish farmers.
Integrated Platforms -
Aquaculture
Atnic [Yogyakarta, 2015]: Atnic is a developer of system for water monitoring called Blumbangreksa. The
system consists of sensors monitoring certain parameters like dissolved oxygen levels, temperature, humidity,
pH, salinity, TDS (total dissolved solid), etc. and stream the same to the cloud through its wired network.. The
cloud consists of an analytics software that analyses the data and pushes it to the user through multiple
platforms including web and mobile (through SMS). The company is targeting the shrimp farming market as of
June, 2016.
Integrated Platforms -
Field Crops - Farm
Mapping
PrecisionHawk [Indianapolis, 2011]: Precision Hawk is a civil unmanned aerial systems and remote sensing
company. PrecisionHawk's Plug-and-Play platform comes with a fully integrated Sensor Suite. PrecisionHawk’s
UAV platform, the Lancaster Hawkeye Mk III, provides users with fast and accurate data acquisition that is then
processed and delivered to clients in relevant and usable formats. The team is comprised of professionals with
backgrounds in remote sensing, unmanned aircraft operations, software development, data processing and GIS
systems development.
$30M
Intel Capital, Millennium Technology
Value Partners, USAA, NTT Docomo
Ventures, Innovate Indiana Fund,
Verizon Ventures, YMVSV
Farm Data and Analytics Field Ops Hardware
43. Precision Agriculture Report, August 201643
Farm Data and Analytics (4/64)
Farm Data and Analytics Field Ops Hardware
44. Precision Agriculture Report, August 201644
Farm Data and Analytics (5/64)
Farm Data and Analytics Field Ops Hardware
45. Precision Agriculture Report, August 201645
Farm Data and Analytics (6/64)
Farm Data and Analytics Field Ops Hardware
46. Precision Agriculture Report, August 201646
Farm Data and Analytics (7/64)
Farm Data and Analytics Field Ops Hardware
47. Precision Agriculture Report, August 201647
Farm Data and Analytics (8/64)
Farm Data and Analytics Field Ops Hardware
48. Precision Agriculture Report, August 201648
Farm Data and Analytics (9/64)
Farm Data and Analytics Field Ops Hardware
49. Precision Agriculture Report, August 201649
Farm Data and Analytics (10/64)
Farm Data and Analytics Field Ops Hardware
50. Precision Agriculture Report, August 201650
Farm Data and Analytics (11/64)
Farm Data and Analytics Field Ops Hardware
51. Precision Agriculture Report, August 201651
Farm Data and Analytics (12/64)
Farm Data and Analytics Field Ops Hardware
52. Precision Agriculture Report, August 201652
Farm Data and Analytics (13/64)
Farm Data and Analytics Field Ops Hardware
53. Precision Agriculture Report, August 201653
Farm Data and Analytics (14/64)
Farm Data and Analytics Field Ops Hardware
54. Precision Agriculture Report, August 201654
Farm Data and Analytics (15/64)
Farm Data and Analytics Field Ops Hardware
55. Precision Agriculture Report, August 201655
Farm Data and Analytics (16/64)
Farm Data and Analytics Field Ops Hardware
56. Precision Agriculture Report, August 201656
Farm Data and Analytics (17/64)
Farm Data and Analytics Field Ops Hardware
57. Precision Agriculture Report, August 201657
Farm Data and Analytics (18/64)
Farm Data and Analytics Field Ops Hardware
58. Precision Agriculture Report, August 201658
Farm Data and Analytics (19/64)
Farm Data and Analytics Field Ops Hardware
59. Precision Agriculture Report, August 201659
Farm Data and Analytics (20/64)
Farm Data and Analytics Field Ops Hardware
60. Precision Agriculture Report, August 201660
Farm Data and Analytics (21/64)
Farm Data and Analytics Field Ops Hardware
61. Precision Agriculture Report, August 201661
Farm Data and Analytics (22/64)
Farm Data and Analytics Field Ops Hardware
62. Precision Agriculture Report, August 2016
Farm Data and Analytics (23/64)
62
Farm Data and Analytics Field Ops Hardware
63. Precision Agriculture Report, August 2016
Farm Data and Analytics (24/64)
63
Farm Data and Analytics Field Ops Hardware
64. Precision Agriculture Report, August 2016
Farm Data and Analytics (25/64)
64
Farm Data and Analytics Field Ops Hardware
65. Precision Agriculture Report, August 201665
Farm Data and Analytics (26/64)
Farm Data and Analytics Field Ops Hardware
66. Precision Agriculture Report, August 201666
Farm Data and Analytics (27/64)
Farm Data and Analytics Field Ops Hardware
67. Precision Agriculture Report, August 201667
Farm Data and Analytics (28/64)
Farm Data and Analytics Field Ops Hardware
68. Precision Agriculture Report, August 201668
Farm Data and Analytics (29/64)
Farm Data and Analytics Field Ops Hardware
69. Precision Agriculture Report, August 201669
Farm Data and Analytics (30/64)
Farm Data and Analytics Field Ops Hardware
70. Precision Agriculture Report, August 2016
Farm Data and Analytics (31/64)
70
Farm Data and Analytics Field Ops Hardware
71. Precision Agriculture Report, August 2016
Farm Data and Analytics (32/64)
71
Farm Data and Analytics Field Ops Hardware
72. Precision Agriculture Report, August 2016
Farm Data and Analytics (33/64)
72
Farm Data and Analytics Field Ops Hardware
73. Precision Agriculture Report, August 2016
Farm Data and Analytics (34/64)
73
Farm Data and Analytics Field Ops Hardware
74. Precision Agriculture Report, August 2016
Farm Data and Analytics (35/64)
74
Farm Data and Analytics Field Ops Hardware
75. Precision Agriculture Report, August 2016
Farm Data and Analytics (36/64)
75
Farm Data and Analytics Field Ops Hardware
76. Precision Agriculture Report, August 2016
Farm Data and Analytics (37/64)
76
Farm Data and Analytics Field Ops Hardware
77. Precision Agriculture Report, August 2016
Farm Data and Analytics (38/64)
77
Farm Data and Analytics Field Ops Hardware
78. Precision Agriculture Report, August 2016
Farm Data and Analytics (39/64)
78
Farm Data and Analytics Field Ops Hardware
79. Precision Agriculture Report, August 2016
Farm Data and Analytics (40/64)
79
Farm Data and Analytics Field Ops Hardware
80. Precision Agriculture Report, August 2016
Farm Data and Analytics (41/64)
80
Farm Data and Analytics Field Ops Hardware
81. Precision Agriculture Report, August 2016
Farm Data and Analytics (42/64)
81
Farm Data and Analytics Field Ops Hardware
82. Precision Agriculture Report, August 2016
Farm Data and Analytics (43/64)
82
Farm Data and Analytics Field Ops Hardware
83. Precision Agriculture Report, August 2016
Farm Data and Analytics (44/64)
83
Farm Data and Analytics Field Ops Hardware
84. Precision Agriculture Report, August 2016
Farm Data and Analytics (45/64)
84
Farm Data and Analytics Field Ops Hardware
85. Precision Agriculture Report, August 2016
Farm Data and Analytics (46/64)
85
Farm Data and Analytics Field Ops Hardware
86. Precision Agriculture Report, August 2016
Farm Data and Analytics (47/64)
86
Farm Data and Analytics Field Ops Hardware
87. Precision Agriculture Report, August 2016
Farm Data and Analytics (48/64)
87
Farm Data and Analytics Field Ops Hardware
88. Precision Agriculture Report, August 2016
Farm Data and Analytics (49/64)
88
Farm Data and Analytics Field Ops Hardware
89. Precision Agriculture Report, August 2016
Farm Data and Analytics (50/64)
89
Farm Data and Analytics Field Ops Hardware
90. Precision Agriculture Report, August 2016
Farm Data and Analytics (51/64)
90
Farm Data and Analytics Field Ops Hardware
91. Precision Agriculture Report, August 2016
Farm Data and Analytics (52/64)
91
Farm Data and Analytics Field Ops Hardware
92. Precision Agriculture Report, August 2016
Farm Data and Analytics (53/64)
92
Farm Data and Analytics Field Ops Hardware
93. Precision Agriculture Report, August 2016
Farm Data and Analytics (54/64)
93
Farm Data and Analytics Field Ops Hardware
94. Precision Agriculture Report, August 2016
Farm Data and Analytics (55/64)
94
Farm Data and Analytics Field Ops Hardware
95. Precision Agriculture Report, August 2016
Farm Data and Analytics (56/64)
95
Farm Data and Analytics Field Ops Hardware
96. Precision Agriculture Report, August 2016
Farm Data and Analytics (57/64)
96
Farm Data and Analytics Field Ops Hardware
97. Precision Agriculture Report, August 2016
Farm Data and Analytics (58/64)
97
Farm Data and Analytics Field Ops Hardware
98. Precision Agriculture Report, August 2016
Farm Data and Analytics (59/64)
98
Farm Data and Analytics Field Ops Hardware
99. Precision Agriculture Report, August 2016
Farm Data and Analytics (60/64)
99
Farm Data and Analytics Field Ops Hardware
100. Precision Agriculture Report, August 2016
Farm Data and Analytics (61/64)
100
Farm Data and Analytics Field Ops Hardware
101. Precision Agriculture Report, August 2016
Farm Data and Analytics (62/64)
101
Farm Data and Analytics Field Ops Hardware
102. Precision Agriculture Report, August 2016
Farm Data and Analytics (63/64)
102
Farm Data and Analytics Field Ops Hardware
103. Precision Agriculture Report, August 2016
Farm Data and Analytics (64/64)
103
Farm Data and Analytics Field Ops Hardware
122. Precision Agriculture Report, August 2016
Scope of Report
Entrepreneur Activity
Investment Trend
Who is Investing
Exit Outlook - IPO, Acquisitions
Sub Sector Analysis
Interesting Companies
Useful Links
Company List
Team
122122
123. Precision Agriculture Report, August 2016123
Team
123
Ritesh Agrawal
Senior Analyst, Agriculture Practice
Pradyumna Murhar
Lead Analyst, Agriculture Practice