Soil Classification and Crop Prediction Using Machine


Authors : Pavan Kumar.Innamuri; Kakumanu Venkata Kasi Viswanath; Katta Harshavardhan Reddy; Jangam Aravind Swamy; Sheelavathy K. V.

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/mpwy7yjj

DOI : https://doi.org/10.5281/zenodo.8374792

Soil classification is a major problem and a heated topic in many countries. The world's population is drastically increasing at an alarming rate which in turn makes the demand for food crops. Farmers are forced to block soil cultivation since their conventional methods are insufficient to fulfil escalating needs. To optimize agricultural output, farmers must understand the best soil type for a certain crop, which has an impact on growing food demand. There areseveral methods for categorizing soil in a scientific way, but each has its own set of disadvantages, such as time and effort. Computer-based soil classification approaches are essential since they will aid farmers in the field and will be quick. Advanced Machine Learning technique-based soil classification methodologies can be used to classify soil and extract various featuresfrom it.

Keywords : Soil Classification, Crop Prediction, Machine Learning, Convolutional Neural Network.

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