Soil crops and nutrients forecasting using random forest model

Assessing type of soil and its required nutrients is an important domain in modern agriculture. So moving towards the same vision, this research work addresses this issue of forecasting suitable crops on the basis of environmental factors and its yield based on previous data sets available on the ne...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Pranjal, Pragya, Mallick, Saahil, Paul, Aniket, Mishra, Sushruta, Bhardwaj, Indu, Albuquerque, Victor Hugo C. de
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Crops Forecasting Machine learning Mathematical models Nutrients Rainfall Soils Supervised learning
Online-Zugang:	Volltext
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