Agronomic Modeler (Corn)
About Us
InnerPlant is on a mission to transform farming as never before imagined: We give crops a voice by turning plants into living sensors that signal the onset of stress, enabling farmers to increase yields and reduce costs by optimizing inputs.
We are seeking an Agronomic Modeler to refine and continuously improve the corn disease and pest models behind our commercial product, CropVoice. The CropVoice platform translates signals from our living sensors to pinpoint stress well before visible symptoms, giving farmers and agronomists critical and timely insights and removing the guesswork behind key in-season decisions.
Requirements
Your Role
As an Agronomic Modeler, you will be accountable for refining the models behind CropVoice's corn recommendations and for making those models accurate, explainable, and reliable for the company, as well as farmers across the Corn Belt. You will work collaboratively with the InnerPlant team to improve our models and explain resulting data and recommendations clearly. To achieve success in the role, you will:
- Build and maintain statistical and mechanistic models for corn disease and insect pressure, including tar spot, gray leaf spot, southern rust, and key lepidopteran pests.
- Create and assess the performance of statistical and machine learning models for corn disease risk and spray timing, validating against field observations f
