58675
FitoScan
Digital diagnostics tool for crops
Ukraine, Odessa region
Market: Farming, Artificial Intelligence
Stage of the project: Prototype or product is ready
Date of last change: 08.11.2023
Ukraine, Odessa region
Market: Farming, Artificial Intelligence
Stage of the project: Prototype or product is ready
Date of last change: 08.11.2023
Leave your contacts for feedback and we’ll help you to contact founder after the short survey
Thank you! We’ll contact you soon!
Idea
An AI enabled software to diagnose diseases of agricultural plants at the tissue level before they spread and manifest themselves visually reducing
yield losses and amount of chemicals used in the field.
yield losses and amount of chemicals used in the field.
Current Status
https://drive.google.com/file/d/1R5EGZHRVvwfF_DExg9E-fx1QencQ03xI/view?usp=drive_link
Market
TAM - $ 8.4 B
SAM - $ 3.8 B
SOM - $ 140 M for the first 5 years
SAM - $ 3.8 B
SOM - $ 140 M for the first 5 years
Problem or Opportunity
Farmers around the world lose $220 billion worth of crops every year because they treat crops at a late stage of disease. At the same time, farmers’ costs for treating agricultural plants against diseases are estimated at $20 billion and increase by 5% annually.
This problem exists and is progressing because the farmer does not have accessible methods for diagnosing diseases of agricultural plants.
Most farmers use a diagnostic method in which the disease is diagnosed by visual symptoms that appear on the plant body at a late stage of infection. This is an accessible method, the symptoms are visible to the naked eye, but at a late stage of the disease, the plant has received physical damage to the body, which ultimately affects the future harvest.
If the farmer does not want this, he needs to diagnose crop diseases at an early stage, when the disease has just penetrated the plant’s body and does not visually manifest itself.
In this method, the farmer can be helped by phytopathologists in agricultural laboratories who diagnose pathogens in plant tissues.
But the effectiveness of this method depends on the number of plant pathologists on the market and the speed of their work.
For example, in the United States in 2023, there will be 290 phytopathologists officially working, of which only 85% work in agricultural laboratories.
For reference, one phytopathologist during a working day can diagnose 12-15 plant samples, which is about 200 hectares.
This means that in a year US phytopathologists will be able to cover 8.2% of all arable land in the country.
But this may not be the case, since this method has a significant drawback: waiting for a response from a phytopathologist takes 1-2 weeks. And during this time, the disease on the plant will move from an early stage to a late one.
This problem exists and is progressing because the farmer does not have accessible methods for diagnosing diseases of agricultural plants.
Most farmers use a diagnostic method in which the disease is diagnosed by visual symptoms that appear on the plant body at a late stage of infection. This is an accessible method, the symptoms are visible to the naked eye, but at a late stage of the disease, the plant has received physical damage to the body, which ultimately affects the future harvest.
If the farmer does not want this, he needs to diagnose crop diseases at an early stage, when the disease has just penetrated the plant’s body and does not visually manifest itself.
In this method, the farmer can be helped by phytopathologists in agricultural laboratories who diagnose pathogens in plant tissues.
But the effectiveness of this method depends on the number of plant pathologists on the market and the speed of their work.
For example, in the United States in 2023, there will be 290 phytopathologists officially working, of which only 85% work in agricultural laboratories.
For reference, one phytopathologist during a working day can diagnose 12-15 plant samples, which is about 200 hectares.
This means that in a year US phytopathologists will be able to cover 8.2% of all arable land in the country.
But this may not be the case, since this method has a significant drawback: waiting for a response from a phytopathologist takes 1-2 weeks. And during this time, the disease on the plant will move from an early stage to a late one.
Solution (product or service)
The FitoScan team is developing the first software that diagnoses crop diseases at an early stage.
The farmer will receive a digital phytopathologist who:
- available 24/7 from the farmer's office
- diagnoses disease pathogens in plant tissues at early and late stages. Automatically provides treatment recommendations.
- Reduce the use of resources for crop spraying (pesticides, water, labor, agricultural machinery, fuel)
- Reduce pesticide load on agricultural plants
The farmer will receive a digital phytopathologist who:
- available 24/7 from the farmer's office
- diagnoses disease pathogens in plant tissues at early and late stages. Automatically provides treatment recommendations.
- Reduce the use of resources for crop spraying (pesticides, water, labor, agricultural machinery, fuel)
- Reduce pesticide load on agricultural plants
Competitors
https://drive.google.com/file/d/1AyUnUjaZd0EC-Hv4af7PCQL7d2JSM3uN/view?usp=drive_link
Advantages or differentiators
https://drive.google.com/file/d/1kKyEeKjUOyP1ciT5U4woD4uxVSsYEL3q/view?usp=drive_link
Finance
https://docs.google.com/spreadsheets/d/1ngMmyN5w_tR6p792iQydu8yORI6vN_7j/edit?usp=drive_link
Business model
SaaS
Sales channels:
1)Direct sales; 2)Partnership sales; 3)Opinion leaders; 4)Internet
Sales channels:
1)Direct sales; 2)Partnership sales; 3)Opinion leaders; 4)Internet
Money will be spent on
Development AI
Offer for investor
5-15%
Team or Management
Risks
Everything is possible in this world
Incubation/Acceleration programs accomplishment
No
Won the competition and other awards
No
Sign in/Sign up