Our systems know what a plant is doing every day of its life from planting to harvest.

How do we know?

We are building full Real-time, Reinforcement Machine Learning systems for every farm

Adding time to space:
making every decision metrics-based and more profitable with daily field-specific Reinforcement Machine Learning

Farming systems are our business ...We build them!

Human-managed food-producing ecosystems are systems within systems. We account for holistically interacting components, including farms, practices, landscapes, soils, climate, crops, jurisdictions, operators, and more, to represent food production outcomes over time accurately.

Who are we?

We're a team that has been there - and knows the difference

Margaret Maizel

Founder and President, VISUAL FARMS Fort Collins, Colorado

Margaret Maizel

Founder and President, VISUAL FARMS Fort Collins, Colorado

Margaret Maizel has dedicated her career to fostering innovation at the cross roads of agriculture, technology,and public policy. She has created and led programs at local, state, and federal levels—serving ten years on the Clarke County, VA Planning Commission,including as Chair, and co-authoring its foundational farming and conservation land use charters. Appointed by the Governor, she served as Chairman for five years on the Virginia State Land Records Modernization and Mapping Commission while co-owning and operating a registered Angus cow-calf operation in Virginia’sShenandoah Valley for 15 years.

Margaret co-founded and led a decade-long, congressionally funded USDA initiative to integrate federal geospatial systems, supporting rural decision-makers across the country. She directed a team at the Harvard Lab for Computer Graphics and Spatial Analysis that transformed the $5 million National Resources Inventory of the Soil Conservation Service, USDA, into a comprehensive national geospatial GIS framework. She also developed key analytics to evaluate how farm chemical use might impact water quality in the U.S., in collaboration with two USDA scientists. Her home team also established the first GIS facility at the Economic Research Service, USDA. 

After a merger and acquisition in1999, she became VP of Integrated Systems at VantagePoint Network, a subsidiary of Deere & Company. Later, she worked as a private consultant for leading global agricultural manufacturers, seed and fertilizer companies, and national conservation organizations.

In 2015, she co-founded VisualFarms to apply advanced AI and analytics to real-world farming challenges. Most recently, she has shifted her company’s long-term AI services and productstoward Agentic AI solutions that, for the first time, facilitate true partnershipswith farmers, creating systems that bridge policy, farm profitability, and Regenerative Agriculture.

Cecil Samuel

Exclusive Partner, WORLDWIDE AGRICULTURE CEO, Novacis Digital, IIT, Madras and Atlanta, GA uSA

Cecil Samuel

Exclusive Partner, WORLDWIDE AGRICULTURE CEO, Novacis Digital, IIT, Madras and Atlanta, GA uSA

A seasoned technology entrepreneur and business leader with demonstrated experience delivering innovative, artificial intelligence-driven digital transformation solutions, Cecil Samuel oversees VISUAL FARMS’ entire technology operations, from product planning, establishing processes and product team governance to setting technology direction, rolling out large-scale, real-time machine learning platform-based solutions and end-to-end product lifecycle management.

Cecil and Margaret Maizel, first met over twenty years ago at the Deere & Co’s VantagePoint Network, in Fort Collins Colorado. Throughout his three-decade career, he has held leadership positions in incubating global technology and innovation centers of excellence (CoEs) and has achieved success in operationalizing and scaling them up to enable rapid business growth and value, primarily in the well-funded Health Care venues. Cecile’s  primary industry focus has been in the U.S. health care, agriculture and government sectors through his company Novacis Digital, co-located at the Indian Institute of Information Technology, - Madras in Chennai India and Atlanta Georgie..

The Confidence to Grow

intergation-point
Make Money
intergation-point
Save Time
intergation-point
Reduce Risk
intergation-point
To build collaboratively-designed tools in new partner-based strategies
intergation-point
Access performance of up to 800 unique GPS’d corn varieties in 1,000 trials over 7 years in your farm’s local agro ecosystem.
intergation-point
To Monitor, track and recover as needed, media-rich, GPS and time-specific events in a new digital calendar
intergation-point
Simulate production options
intergation-point
Capture timely alerts to potential pests or issues
intergation-point
Benchmark production
intergation-point
Harness Big Data & IoT for actionable decisions

Our AI Tools

New Knowledge for Farmers is New Power. Human-managed food-producing ecosystems are systems within systems. We account for three interacting principal components: farms, landscapes and agri-climate in order to accurately represent food production outcomes.

AGRICLIMATE-AI

Our agri-climate system is plant-specific. It accounts for solar energy that hits the plant leaf directly with other key climate and soils inputs. All are managed by A.I. systems to accurately predict plant growth stages and responses.

BESTSEEDCHOICE-AI

Our AI-driven platform, which combines hybrid seed trial results from US commercial seed companies, details up to fifty parameters with statistical reliability for each of 40,000 unique corn varieties, 7,000 soybean varieties, and 4,000 wheat varieties, spanning 7 years of testing in the US.

Invariably, among the top 25 yielding corn varieties, approximately 10% were non-GMOs

FARM4CAST-AI

Built upon neural networks and other Al techniques with Agriculture-specific domain knowledge. Trained with the planted seed variety from BestSeedChoice and calibrated from your observations. Includes solar radiation that hits the plant leaf, and measures soil temperature and moisture.

CLOUD-BASED SAAS

Our SaaS and cloud-based Gen-Al and newer Agentics-Al applications are already operational under their health-care services by our partner, Novacis Digital, co-located at the Indian Institute of Information Technology, IIT - Madras in Chennai India and in Atlanta, Georgia, USA.

Field Trials

We conducted field trials using our AI-supported BestSeedChoice-AI and Farm4Cast-AI over two years with three large commercial farmers in Illinois and Indiana (the US cornbelt).  

BestSeedChoice-AI TM recommended hybrids:

Outperformed all other varieties planted in the same field on every farm (with one exception).
Raised yields by up to 53% above the overall field average.
Boosted net farm income:
For example, a 2,000-acre corn operation could see an increase of $73,000 (market-dependent) by simply planting the right seed and making no other changes. This could potentially offset input costs by up to 70%.

Farm4Cast-AI TM Accurately predicted:

Ideal planting and harvest windows, Emergence, Tasseling, Pollination, and crop growth stages connected to potential disease within 2 days as locally calibrated.
final corn yields forcast at four intervals from July through September during the growing season were within 2.5 percent of final yields. This increased the planning window from 2 weeks to 3 months, potentially driving first-mover advantage for marketing strategies providing there were no unusual climate or other events.

Field Trials

We conducted field trials using our AI-supported BestSeedChoice-AI and Farm4Cast-AI over two years with three large commercial farmers in Illinois and Indiana (the US cornbelt).  

BestSeedChoice-AI TM recommended hybrids:

Outperformed all other varieties planted in the same field on every farm (with one exception).
Raised yields by up to 53% above the overall field average.
Boosted net farm income:
For example, a 2,000-acre corn operation could see an increase of $73,000 (market-dependent) by simply planting the right seed and making no other changes. This could potentially offset input costs by up to 70%.

Farm4Cast-AI TM Accurately predicted:

Final corn yields four times within 2.5 percent from July through September. This increased the planning window from 2 weeks to 3 months.
Final corn yields forecast four times within 2.5 percent from July through September. This increased the planning window from 2 weeks to 3 months.

CONTACT US

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form

Get in touch today

Check - Elements Webflow Library - BRIX Templates

Thank you

Thanks for reaching out. We will get back to you soon.
Oops! Something went wrong while submitting the form.