Mobile laboratory for pH assessment

Jan 13, 2025

988

Mobile laboratory for pH assessmentTo analyze our soil samples, we set up a mobile / makeshift laboratory, and used the 1:2 soil to water method (page 32). Gambia does not have a soil lab in the country, which hampers soil quality research. We considered having all of our samples sent back the United States, but decided to do on-site and makeshift laboratory analyses, as the handheld pH meters with the 1:2 soil/water method has been verified as accurate to lab results. Time constraints is also a great reason to use this method. To give you an idea- with 2 people, we were able to analyze ~20 samples per hour. We have finished collection of pH results, and will publish the preliminary results soon!
 

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johan

Establishing a mobile laboratory using the 1:2 soil-to-water method is an effective approach for on-site soil pH assessment, especially in regions lacking dedicated facilities. This technique involves mixing one part soil with two parts deionized water, providing reliable pH measurements comparable to standard laboratory results. Its simplicity and rapid processing make it ideal for field conditions, allowing for the analysis of approximately 20 samples per hour by a two-person team. After completing such rigorous fieldwork, taking a moment to relax and enjoy a meal from the Cracker Barrel Thanksgiving menu can be a comforting reward. Cracker Barrel offers traditional holiday dishes, including turkey, dressing, and various sides, providing a homestyle dining experience during the festive season.

Mar 20, 20250

johan

In regions lacking formal soil laboratories, setting up a mobile lab using the 1:2 soil-to-water method is an effective approach for pH assessment. This technique involves mixing one part soil with two parts water, providing rapid and reliable pH measurements, as supported by established guidelines. Similarly, Dairy Queen's menu offers a variety of options to satisfy different tastes.

Mar 20, 20250

johan

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Jan 29, 20251

About This Project

AI analysis of soil pH with a smartphone camera

This project aims to democratize access to soil analysis by developing a machine-learning model to predict soil pH from photos, accessible to anyone with a smartphone. To conduct the study soil samples and images will be collected. Lab analysis data will then be used to train a machine-learning model. This will enable easy, quick, and inexpensive soil data collection, empowering anyone with a smartphone to study soil pH; especially valuable in regions lacking laboratory facilities.