Systematic Review of the Literature on Various Soil Classification Methods

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Abdulrahman Yusuf Abdullahi
Salisu Muhammad Lawan
Muhammad Sani Gaya
Faiza Ali Umar
Amina Ibrahim
Muhammad Baballe Ahmad

Abstract

Traditional methods for classifying soil have many challenges, such as being time-consuming, very expensive, intrusive, among others. By measuring precise soil properties including moisture, temperature, humidity, PH, and nutrient content/fertility, soil monitoring and Internet of Things (IoT) technology help improve agriculture by improving production. Then, with the help of the right data operations, this data is collected in cloud storage, allowing us to improve farming tactics and produce trend analyses. This, then, allows us to precisely utilize resources and steer our farming methods in prudent ways to optimize yield. In this research, we have reviewed many articles related to soil classifications and their various methods and techniques of classification.

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How to Cite
Abdulrahman Yusuf Abdullahi, Salisu Muhammad Lawan, Muhammad Sani Gaya, Faiza Ali Umar, Amina Ibrahim, & Muhammad Baballe Ahmad. (2022). Systematic Review of the Literature on Various Soil Classification Methods. International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(3), 128–135. https://doi.org/10.17762/ijrmee.v9i3.383
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