Posts

Introduction to Machine Learning

statistics

I don’t want to try and teach you all about machine learning because it’s a field that is under rapid evolution and we have limited time. Instead, I want to show you some…

Caio dos Santos

Spatial Data Analysis

statistics

Up to this point, most of our questions have been about how much. How much yield changes with rainfall. How much disease severity changes with treatment. How much biomass…

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Multiple Linear and Nonlinear Regression

statistics

In Module 10, we kept things simple by design: one predictor, one response, and a straight line. That simplicity was intentional. It let us focus on the core habits that…

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Correlation and Simple Regression

statistics

In the previous modules, we focused on comparing means across qualitative treatments.

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Transformations and Generalized Linear Models

statistics

Up to this point in the course, I’ve been showing you nice, well-behaved datasets.

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Means Separation and Data Presentation

statistics

The previous two units focused on the design and analysis of effects in multiple-treatment trials. Our focus there was to determine whether treatment effects explained more…

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Multiple Treatment Designs

statistics

In the last unit, we were introduced to multiple-treatment experiments using an example with which many of you are familiar: a hybrid research or demonstration trial. Recall…

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Multiple Treatment Trials

statistics

Up to this point, we have focused on experiments with two treatments.

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Understanding Statistical Tests

statistics

So far in this course, we have:

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Comparisons between two treatments

statistics

Although I enjoy this, I understand if you are restless and wondering “how am I going to use any of this in the real world?”

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Sample Statistics

statistics

In the last two modules, we focused on populations and on how to summarize them when we are able to measure every individual. In that context, quantities like the mean and…

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Probability and Distributions

statistics

Before we introduce statistical distributions like the normal distribution, we need a way to talk about uncertainty.

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Experimental Design - How many controls to include in a factorial experiment?

experimental design

Recently, I was talking to some friends about experimental design (exciting topic, right?!) and we reached a topic that I had not thought would be a controversy before. When…

Caio dos Santos

Processing as-applied and as-planted data in on-farm trials

pacu

yield monitor

In the context of on-farm research, we often apply treatments using variable rate applicators to investigate how these different treatments will affect crop yield. An…

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Processing as-applied and as-planted data in on-farm trials

pacu

yield monitor

I thought it would be interesting to look at how to retrieve remotely sensed data from Sentinel-2 using the pacu package. For this example, I decided to take a look at the…

Caio dos Santos

Specifying custom vegetation indices

pacu

remote sensing

Part of the motivation for developing pacu was to facilitate the access to and the analysis of satellite data. Up until now, users could only use one of the six…

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Processing data from an on-farm experiment

pacu

yield monitor

In a previous post, I have mentioned that pacu provided support for processing data coming from on-farm trials, as well as production fields. In this post, I want to explore…

Caio dos Santos

Working with yield monitor data

pacu

yield monitor

Working with yield monitor data can be quite challenging. The data can have several sources of error and accounting for all of them can be hard. For instance, there are…

Caio dos Santos