Abstract
'Wireless Sensor Networks and 'The Internet of Things' are the two
imminent commonalities in agricultural science that allow the development of less
exclusive systems to install, control, and maintain low-power standard protocols. The
work makes use of low-cost sensors and IoT platforms to help farmers improve
agricultural systems with better yield and reduce insufficient usage of water. Precision
agriculture helps in terms of quality of yield, efficiency of product, decrease in the
environmental harness, and minimal usage of natural assets. The proposed precision
model obtains raw properties of the given soil and achieves an overall accuracy of
93.33% in predicting the ideal crop that can be cultivated for the given soil sample
using the KNN algorithm and develops a continuous crop monitoring system for the
expected crop based on the predefined crop properties.
Keywords: Arduino, CSV, Digital farming, Energy-efficient, Food processing, GPS, Green Revolution, IoT, Multi-layer perception SMS, Precision agriculture.