Photo - DeepAgro
play_arrow
View
62766

DeepAgro

USA, South Carolina
Market: Farming, Artificial Intelligence
Stage of the project: Operating business

Date of last change: 03.11.2024
Go to the owner's profile
4
equalizer from 2000
help
Calculated and estimated occupancy of the project (more about ratings)
My rating
1
2
3
4
5
6
7
8
9
10
Average rating:
 

Idea

Real-time weed detection via AI and computer vision allows targeted herbicide application, leading to up to 90% cost savings, reduced water usage, a smaller carbon footprint, and lower chemical usage.

Current Status

We are at the commercial level in Argentina and Uruguay with 57 SprAI systems sold. Our first two years, 2022 and 2023, we did limited sales to test the product, the pricing, the business models, and the overall fit in the market. We have leased 2 SprAI systems in Brazil and we carried out testing in the US. Our SprAI system can be retrofitted into any sprayer, any model and any brand.

Problem or Opportunity

Application of chemicals in agriculture are done uniformly. This is, the same rate all across the field, thus producing excess cost, inefficiency, and a high environmental impact on the soil, the water and the air. Excess application affects profitability and sustainibility for farmers, as well as increase costs for consumers and degrade the environment for society.

Solution (product or service)

Our product, an AgTech solution named SprAI, allows farmers to make a smart spray, that is, selectively applying the herbicide on weeds, both on fallow land (green on brown) and on crops (green on green). In other words, we make the spraying equipment smart, applying herbicides only on the weeds and reducing the use of chemical products on average by 73%. This selective application to be carried out throughout the year. SprAI can be fitted into any sprayer, either on a new sprayer at the manufacturing facility, or on a used sprayer in the farms via retrofitting (aftermarket).

Business model

Our go-to-market strategy is flexible We work both with OEMs and in the aftermarket. We started with a B2C business model to reach innovative customers across different agroecological areas of Argentina and Uruguay, to help us understand their fears, their needs, and the ability to respond to customer demands via support and servicing. In order to scale up, we developed a B2B model with independent dealerships. We understand that each geography is different and that in Brazil and the USA we will have to adapt to a market in wich cooperatives and agronomy retailers play a key role in spraying.

Incubation/Acceleration programs accomplishment

Stanford University 2023 Scaling Program
Endeavor 2024 Scale Up Program
5,00
1
2
3
4
5
1 voice
Sign in/Sign up
arrow_back
EN
more_horiz
close
visibility113
star0
Add to favorites
Delete from favorites
share
close
thumb_up0
Like
Unlike
Idea
Current Status
Market
Problem or Opportunity
Solution (product or service)
Competitors
Advantages or differentiators
Finance
Invested in previous rounds, $
Business model
Money will be spent on
Offer for investor
Team or Management
Mentors & Advisors
Lead investor
Risks
Incubation/Acceleration programs accomplishment
Won the competition and other awards
Invention/Patent
Product Video
Presentation