BENEFITS AND DRAWBACKS OF DIFFERENT SOIL TYPES

Muhammad Baballe Ahmad

Authors

Muhammad Baballe Ahmad Department of Computer Engineering Technology

Keywords:

Sandy Soil, ClaySoil, Loamy Soil, Soil Classification, Machine learning

Abstract

Traditional methods for classifying soil have several drawbacks, including the fact that they take a long time, are expensive, and are intrusive, to name a few. Soil monitoring and Internet of Things (IoT) technology assist enhance agriculture by increasing production by precisely tracking soil parameters like moisture, temperature, humidity, PH, and nutrient content and fertility. The data is then collected in cloud storage with the aid of the appropriate data operations, enabling us to enhance agricultural strategies and generate trend analyses. This allows us to precisely allocate resources and manage our farming operations in order to enhance yield. We have read a large number of articles in this study that discuss different classification systems and strategies for soils

Author Biography

Muhammad Baballe Ahmad, Department of Computer Engineering Technology

Department of Computer Engineering Technology,School of Technology, Kano State Polytechnic,
Kano, Nigeria

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