AgriTech
Agriculture produces vast amounts of image, sensor and field data, but turning it into timely decisions is hard. Assystant builds AI and data platforms that help growers and AgriTech companies spot problems earlier and act with confidence.
From field images to decisions growers trust
We built the AI algorithm and apps behind AgriAI’s crop health predictions in the Netherlands, using AI-powered image analysis to predict plant health. AgriAI was later acquired by Koppert Global.
of US cotton acres were managed with auto-steer and guidance systems in 2019 – and more than half of corn, soybean and winter wheat acres in the latest surveys.
Problems we have solved in agritech
Each row links to the case study with the full story.
| The problem | What we built | Case study |
|---|---|---|
| Spotting pests and infections by manual inspection is slow and unreliable | AI that predicts crop health from a farmer’s photo | AgriAI |
Where AI earns its place on the farm
Computer vision, prediction models and IoT data pipelines can spot crop stress early, help forecast yields and support sustainability reporting. We design models that agronomists can understand and trust, and apps that work in the field.
Our teams cover the full lifecycle: discovery with your stakeholders, UX and product design, web and mobile development, integration with the systems you already run, and ongoing support from Bangalore with working hours that overlap the USA, Europe, MENA and APAC.
How we help AgriTech companies
- AI crop health prediction
- Image analysis and computer vision
- Grower and field mobile apps
- IoT sensor data pipelines
- Yield and risk forecasting
- Farm data dashboards
- Sustainability and reporting data
- Cloud platforms on GCP and AWS
- All our services
Related case studies
Predicting crop health through AI-powered image analysis
Assystant built the AI algorithm and apps behind AgriAI’s crop health predictions, a platform later acquired by Koppert Global.
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Read the articleFrequently asked questions
What AgriTech work has Assystant done?
We built the AI algorithm and apps behind AgriAI’s crop health predictions in the Netherlands. AgriAI was later acquired by Koppert Global.
Can AI predict crop health from images?
Yes. Image analysis models can detect signs of plant stress or disease from photos, which is the approach we used for AgriAI’s crop health predictions.
Do you build apps that growers can use in the field?
Yes. We build mobile apps that capture images and field data and show predictions to growers where they work.
Can you work with our sensor and IoT data?
Yes. We build data pipelines that collect, clean and combine IoT sensor data with other sources for dashboards and AI models.