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Abstract: The precision agriculture monitoring system is an emerging concept. The sensors are capable of providing information about agricultural fields and then Artificial Intelligence takes decision automatically based on the sensor values. Monitoring environmental conditions is the major factor to improve yield of the efficient crops. In this project, we present a new approach by using hanging robot with virtual assistance in the agriculture field by monitoring moisture, temperature etc.It further provides a review on the most common sensing principles that can be used for in-situ and real-time temperature and and humidity level, as well as an overview of the difficulties for deploying these sensing systems and their electronic interfaces in the harsh soil environment. It reviews existing agricultural circuits and sensing systems designed for agricultural monitoring and their limitations whilst highlighting remaining challenges in order to make automated, decision- making systems for precision agriculture, a reality.