Cloud Technology on Agriculture using Sensors

Background/Objectives: In this paper it offers a system that coordinates the sensor data to the cloud. There is an emphasis on using sensors in agriculture and offering a higher yielding crop capacity. Methods/Statistical Analysis: In this the need of the soil moisture is to sense the moisture. It makes the usage of soil moisture sensor to sense the moisture in the soil and a device that converts the input raw data to digital format. The received digital data is thus transferred to cloud. The method used for converting analog to digital is done by using myDAQ. The input is given to a computer, shows the data. The values that are displayed are in voltages, which are previously calibrated with sensor under different waterlevel conditions. Findings: Today there has been a lot of degradation in the cultivation as climate conditions have been changing continuously. Though there has been a development in productivity but there has been no improvement in the factors of agriculture. So a step needs to be taken to enhance these problems. The study shows us that how the technology can be increased to compensate this problem and overcome the various backdrops. Applications/Improvements: It can be further extended with implementation of GPS Technology and some of the sensors that can be used in future.