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Intelligent
Monitoring

It is an advanced, accessible and easy-to-use solution for monitoring cocoa crops using artificial intelligence (AI).

Download on the App Store
Get on Google Play

Available soon

Images may differ from the final version

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La App

AgriCount uses machine learning to count the pods on the trees, allowing for a quick and easy yield estimation.

The user takes pictures of the trees, AgriCount analyzes and estimates the productivity. The whole process takes place on your mobile device, no need for connectivity to
to perform the count.

Take control of your farm's pod inventory and understand its performance over time for data driven managerial decisions in your farm.

Images may differ from the final version

The mobile version is available for iOS and Android. The desktop version  is available for macOS and Windows. AgriCount Mobile allows you to export data to the Agricount Cloud, your cloud or your email for import into the desktop version.

You count
Your efforts count

AgriCount. Agriculture that counts

 

Tecnologia
Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

Make data driven decisions based on easy to capture field data

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

Total privacy

Independence and flexibility

Minimum cost, maximum impact

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority
Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

All processing occurs on your phone or tablet, ensuring absolute control over your information.

At the end of the count, you decide what to do with your data.

A professional tool at an affordable price.

AI for You 

1. Producer Cooperatives or organizations

Analyze your portfolio of producers and estimate available supply, inventory, logistics and financing needs.

2. International Cooperation Projects

Extremely useful for establishing baseline, and progress measurements at reduced cost. Additionally for measuring the impact of agricultural extension interventions, input delivery or farmer training programs.

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

9. Agricultural Input
Suppliers

7. Organizations with Extension Teams

Analyze your portfolio of producers and estimate available supply, inventory, logistics and financing needs.

8. Agronomist
Associations

These organizations can
aggregate data from multiple farms and regions to monitor
productivities on a larger scale.

3. Large-scale farms

Real-time monitoring of the impact of input and labor use. Logistics planning, harvesting and productivity projections. Lot monitoring over time.

4. Commodity Traders

Value chain assessments to obtain early production estimates. Disaggregation of risk by project, lot or certification program.

5. Small and medium scale farms

AgriCount democratizes access to advanced technology for this segment of growers

Evaluation of the effectiveness of fertilizers, pesticides and other inputs. Strengthening of
marketing strategies

10. Agricultural Research Entities

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

For productivity studies associated with the implementation of new agricultural technologies. Reduction of capture costs.

11. Students Preparing Research Thesis

Simplification of data collection enabling more accurate and lower-cost analyses

12. Banking and Agricultural Financing Entities

6. Government Entities

These agencies can monitor the effectiveness of agricultural technical assistance programs and evaluate the impact of public policies by obtaining real productivity data.

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

For investment control evaluations, credit risk and cash flow forecasting of farmers' obligations.

 monitoreo de cultivos de cacao mediante inteligencia artificial (IA)  Privacidad de su información  es nuestra prioridad  Pr
funciones
Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

It is recommended to take at least 3 photos per sampled tree during each harvest cycle. This sequence in monitoring is important to improve productivity prediction.

The number of trees to be sampled depends on the planting density of the plot and its homogeneity. In our trials, sampling between 2% and 3% of the total number of trees tends to be representative. In homogeneous plots with 750 trees per hectare, we have seen good results by sampling 20 trees.

Follow your technical advisor's recommendations for sampling.

1. Fixed sampling: evaluating the same trees in each monitoring allows comparing their evolution over time.

Try it. Download it now.

Cocoa crop monitoring using artificial intelligence (AI) Your information privacy is our priority

Intelligent
Monitoring

Download on the App Store
Get on Google Play

Agriculture that counts

Download it now.

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