This research aims to develop a model capable of predicting soil condition classification based on datasets obtained from smart farming monitoring devices using the Support Vector Machine (SVM) algorithm. The dataset includes attributes such as air temperature, air humidity, soil moisture, soil higrow, light intensity, and battery level. The classification process utilizes the Kingma formula to…
Most of the Indonesian people work in agriculture which is of course directly related to soil fertility which is an important part of agriculture. Indonesia in its management is still done manually so that it can affect the land has the potential to lose the standard of work that is done repeatedly by humans besides that in land management sometimes humans make mistakes in land management so th…