Farmers are currently over-applying chemical inputs, such as fertilizers and pesticides, by 65%. This over-application escalates costs for the farmer while leading to intense carbon emissions and environmental damage. The root reason behind the over-application of chemicals is a lack of knowledge regarding plant health and crop requirements. Crop Diagnostix is an AI platform that uses patented gene expression technology to predict yield and plant stress from the earliest stages, enabling farmers to be proactive, optimize inputs, and maximize yield. Ultimately, Crop Diagnostix is building the largest gene expression database in agriculture, that will not only revolutionize the way we farm, but the way we breed new plant varieties and manufacture new inputs.
Crop Diagnostix
Student i-lab
Crop Diagnostix
Building the future of predictive agriculture with patented, AI-powered gene expression technology.
Founders
Brandon Chi
Harvard Business School
Joseph Swift
Salk Institute of Biological Studies
Amitesh Pratap
About Crop Diagnostix
Term
2024 Spring
School
Harvard Business School
Lab
Programs
Climate Circle
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