Tag: Agriculture
In agricultural research, especially in field experiments, ‘randomization’ isn’t just a technical detail — it’s a scientific necessity. Whether you’re comparing crop varieties, testing fertilizers, pesticides or evaluating irrigation strategies, how you arrange plots in the field can make or break the validity of your conclusions. In this post, we’ll explore why randomization matters, how…
If you’re working in plant breeding, agronomy, or crop science, you know how complex field data can get. At AgriStatLab, we’ve built a platform that simplifies that complexity—so you can focus on discovery, not debugging. Here are five key ways AgriStatLab supports researchers at every step of their trial pipeline: 1. 🌾 Field Trial Design…