Agronomy4future

In my previous post, I demonstrated how to add distinct text to panels created with facet_wrap() or facet_grid(), and I proposed the following simple method. I first created a data frame containing the labels, which I then used to map the text to the corresponding panels. Let’s practice using this method This data is from FAOSTAT. I organized wheat yield data starting from 1961 for the USA, Canada, the EU, and the world. I will present the wheat yield trends…

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When analyzing grain size, we’ve used high-throughput image scanning machines. However, if we can detect grains using R code, estimating grain size becomes possible. In my previous R function, colorcapture(), we were able to detect fruit size and estimate its surface area in 2D. Recently, I developed a new R function called phenokio() specifically designed to estimate the grain area of cereals. 1. Install the function Before installing, please download Rtools (https://cran.r-project.org/bin/windows/Rtools) If the function is not able to be…

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In my previous post, I explained how to calculate Cook’s Distance step by step, and noted that in R you can simply use the function cooks.distance(). However, this simple function only provides the Cook’s Distance values. In my previous post, I explained the formula for Cook’s Distance step by step, including how to compute residuals, leverage, and internal studentized residuals. To make it easier to calculate these values, I recently developed an R package called datacooks(). □ datacooks() Before installing…

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When analyzing yield, we usually use bar or box plots based on the mean. However, sometimes we need to visualize the spatial variation of yield. In those cases, GIS maps are commonly used, often created with powerful software such as ArcGIS, which I have used and found to be excellent. The drawback is that ArcGIS is not free. If you want to create a simple yield map using R, it is possible, although the map quality may be slightly lower….

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1) to replace text with an empty string 2) to replace text with other texts

This colorcapture() R function provides easy image analysis to estimate fruit surface area. 1. Install the pacakge Before installing colorcapture(), please download Rtools (https://cran.r-project.org/bin/windows/Rtools), and install the following package. □ colorcapture() 2. Basic code If you want to change other criteria, type ?colorcapture to see detailed information about the colorcapture() function. The default code is set to capture the yellow color. If you run the code, it will detect the yellow surface area. The frame size was 24 cm × 24 cm. and the…

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When measuring leaf area or fruit surface area, these have usually been measured manually, which is time-consuming and often inaccurate, especially when the shape is not perpendicular. For more reliable measurement, image analysis provides a good alternative. To facilitate this process, I developed an R function, greencapture() that captures the green area of leaves or fruits in the lab using a fixed frame. 1. Install the greencapture() package 2. Set up folders for input and output images I will save…

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When analyzing data, we sometimes need to analyze cumulative data. When calculating cumulative data, grouping is important, and it takes time to perform the grouping and calculations. To simplify this process, I developed an R package called datacume(). Let’s upload the dataset. This dataset contains biomass measurements across different treatments over time, recorded for various plants and their branches. I want to calculate the cumulative biomass over time. To do this accurately, I’ll first calculate the average biomass of the…

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https://github.com/agronomy4future/r_code/blob/main/geom_mark_ellipse.ipynb We aim to develop open-source code for agronomy ([email protected]) © 2022 – 2025 https://agronomy4future.com – All Rights Reserved. Last Updated: 19/07/2025