In the present age, the Internet of Things (IoT) is turning into an essential part of our day by day existence with the new innovative improvements. The objective of this project is to utilize the IoT with a smart system of wireless sensors to observe plant healthiness and watch larvae populace in a remote yield field. A wireless sensor network is proposed in this setting to recognize larvae and calculate certain gadget parameters, namely, the Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The information of the sensors is gathered through a serial port through the front end sensing node built with a STM32F407VG board. The leading group of STM32F407VG depends on the processor of Advanced RISC Machine (ARM). Utilizing a remote ZigBee protocol, the node information is transmitted to a base station. Information from a gathering of sensor nodes is obtained by the base station. This information is transmitted by means of the Universal Serial Bus (USB) association between the base station and the Central Processing Unit (CPU). On the CPU, this information is examined utilizing the clearly planned application dependent on MATLAB. The discoveries will be shown and put away on the CPU and logged by means of Thingspeak liaison on the cloud too. At any moment, it requires access to this data globally. An auspicious contact and healing of the arranged yield field is accomplished. To accomplish the effective combination and execution of the modules, the unit parameters are changed. An experimental setup is used to test the proposed system operation. The results confirmed the proper functionality of the system.