RISO DATA - Agronomy Chatbot

Automated GAP (Good Agricultural Practices) compliance through AI-based Agronomy Chatbot for Cargill's Cocoa Promise Program in Ivory Coast.

Executive Summary

Cargill Ivory Coast's Cargill Cocoa Promise Program aims to empower cocoa farmers and their communities by improving incomes and promoting sustainable practices. Despite the program's success in enhancing productivity and profitability, the high cost and inefficiency of traditional GAP initiatives remains a challenge.

10

Target Cooperatives

50%

Cost Reduction

Pilot Objectives & Metrics

Evaluating the effectiveness and scalability of the Agronomy Chatbot

Increase Profitability

Primary Goal

Reduction in GAP costs

Compare the costs of implementing traditional GAP initiatives versus the chatbot solution to measure reduction in GAP costs.

Empower Farmers

Key Outcomes

Yield increase & diagnosis accuracy

Track increases in yields and validate the chatbot's disease diagnosis accuracy against agronomist evaluations and farmer feedback.

Evaluate User Adoption

Critical Measure

Adoption rate & user satisfaction

Track the percentage of invited farmers actively using the chatbot and collect survey feedback to measure ease of use and overall satisfaction.

Strengthen Data-Driven Insights

Dashboard Development

Actionable real-time dashboard

Deliver a user-friendly dashboard providing real-time insights into cocoa tree health, disease prevalence, and yield potential.

GAP Program Cost Savings

AI-driven Agronomy Chatbot to enhance productivity while reducing GAP program costs

Cooperative Configuration

Current Cost GAP

$20,000

Based on current configuration

Cost RISO GAP

$15,000

Setup cost + savings based on KPIs

Key Performance Indicators
● Met Farmer Engagement: ≥ 50% monthly active app users
● Met Engagement Depth: ≥ 10 queries per producer per month
● Met Diagnostic Accuracy: ≥ 85% alignment with agronomy team
● Met Yield Improvement: ≥ 5% improvement in yield (kg/ha)
KPI Status: All KPIs Met (50% share)

Proposition & Pilot Overview

Proposition:

Transition to an AI-driven Agronomy Chatbot aimed at reducing GAP (Good Agricultural Practices) program costs by 50% long-term, while enhancing farmer productivity, sustainability, and providing real-time data insights.

Pilot Details:

Duration: 6 months

Location: Ivory Coast

Target: 10 cooperatives for localized testing and scalability validation

Agreement Constants:

Cargill's Information:

  • Disclosed annual GAP spending per cooperative
  • Information about cooperatives, including the number of producers they support
Pilot Disclosure

This proposal is an informal pilot proposal, used for informational purposes only to facilitate discussions and advance the goals of the proposed meeting with the appropriate department at the firm. It is a flexible proposal. While we are confident in our team and product, this is an early-stage initiative, and we anticipate unknown outcomes that may arise during implementation.

Payment Terms & Verification

Payment Terms:

Upfront Fee:

  • $500 covers app setup and is paid upon contract signing.

Post-Pilot Payments:

  • Quarterly invoices for 50% of verified savings (e.g., if savings are $100K, we receive $50K).

KPI Adjustments:

  • If all KPIs are met: Full 50% savings share.
  • If 1-2 KPIs are missed: Proportional reduction (e.g., 80% achievement → 40% share).
  • If ≥ 3 KPIs are missed: $0 payment per cooperative.
Verification Process:

Image-Based Verification:

  • Our Agronomy Team will review 15% of randomly selected farmer-submitted images to validate AI accuracy and ensure correct diagnoses.

Key Performance Indicators

Cargill's KPIs & Measurement:
  • Adoption Rate of GAP: Percentage of producers adopting Good Agricultural Practices
  • Yield Improvement: % increase in yield (kg/ha)
  • FDP Coverage: % of producers receiving Farm Development Plans (FDP)
  • Engagement Metrics: Includes in-person visits, manual follow-ups, etc.
Our KPIs (Agronomy Chatbot) Interactive
  • Farmer Engagement: ≥ 50% monthly active app users ● Met
  • Engagement Depth: ≥ 10 queries per producer per month (tracked via app analytics) ● Met
  • Diagnostic Accuracy: ≥ 85% alignment between AI diagnoses and agronomy team verification ● Met
  • Yield Improvement: ≥ 5% improvement in yield (kg/ha) ● Met
Current Status
4/4 KPIs Met 50% Revenue Share

Scope of Work

Comprehensive solution with mobile app and dashboard for farmers and agronomists

Mobile Application

An intuitive mobile app designed for both Android and iPhone platforms. Its primary purpose is to empower farmers with direct, real-time access to agronomic support.

Key Features:
  • Photo Submission: Farmers can take high-resolution photos of their cocoa trees and submit them for analysis.
  • Interactive Communication: Farmers can write questions or use voice input to communicate with the chatbot.
  • Personalized Recommendations: The app provides tailored advice based on the photos submitted and queries asked.
  • French Language Support: The app works exclusively in French for the current pilot.

Dashboard Web Application

A centralized, web-based dashboard designed for use by agronomists, supply chain managers, and Cargill teams. This platform aggregates and visualizes the data collected from the mobile app.

Key Features:
  • Data Visualization: Displays photos submitted by farmers, along with associated metadata such as producer IDs and geolocations.
  • Geospatial Mapping: Offers a visual map of the pilot areas, showing the location of submitted photos.
  • Diagnosis Overview: Provides detailed summaries of diagnoses generated by the chatbot.
  • Trend Analysis: Identify patterns and trends across cooperatives for better decision-making.