CropCare
About CropCare
We're on a mission to help farmers around the world protect their crops and increase their yields using the power of artificial intelligence.
Our Story
Founded in 2022 by a team of agricultural scientists and AI researchers, CropCare was born from the recognition that crop diseases cause billions in losses every year. We believe that early detection powered by AI can change this.
Our Mission
To democratize access to advanced crop health monitoring, helping farmers of all sizes protect their livelihood and feed the world.
Our Vision
A world where crop diseases are detected and treated early, where farmers have the knowledge and tools they need to succeed, and where technology bridges the gap between agricultural research and practical application in the field.
Our Impact
2M+ images analyzed
500K+ farmers served
Active in 25+ countries
$50M+ in crop losses prevented
Meet Our Team
Our diverse team combines expertise in agriculture, AI, and technology to serve farmers worldwide.
Dr. Sarah Chen
CEO & Co-Founder
Former agricultural scientist at Stanford with 15 years of experience in crop disease research.
Marcus Rodriguez
CTO & Co-Founder
AI/ML expert with previous experience at Google DeepMind, specializing in computer vision.
Dr. Priya Patel
Head of Agriculture
Plant pathologist with extensive fieldwork experience across Africa and South America.
James Kim
Head of Engineering
Full-stack developer with experience building scalable mobile and web applications.
Our Technology
CropCare's AI models are built on state-of-the-art deep learning architectures, specifically designed for agricultural applications. Our computer vision system can identify subtle visual indicators of disease that might be missed by the human eye.
We continuously improve our models by incorporating feedback from agricultural experts, ground-truth data from field studies, and the latest research in plant pathology. This ensures our accuracy rates remain among the highest in the industry.
Our platform is designed to work in challenging environments with limited connectivity, making it accessible to farmers in remote rural areas worldwide.
AI Models
Advanced deep learning for disease detection
95% Accuracy
Validated across 200+ disease types
Online First
Works without internet connectivity
Expert Validated
Reviewed by agricultural scientists
Our Values
Farmer-First
Every decision we make prioritizes the needs and success of the farmers who depend on us.
Global Accessibility
Technology should be accessible to everyone, regardless of geography or economic status.
Scientific Rigor
Our solutions are built on solid scientific foundations and validated by experts.
Join Us in Our Mission
Whether you're a farmer, researcher, investor, or simply someone who cares about sustainable agriculture, there are many ways to get involved with CropCare.