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Real-Time Automation of Agricultural Environment for Social Modernization of Indian Agricultural System attracts great attention these days. Efficient water management is a major concern in many cropping systems in semi-arid and arid areas. Distributed in-field sensor-based irrigation systems offer a potential solution to support site-specific irrigation management that allows producers to maximize their productivity while saving water.
Design and instrumentation of variable rate irrigation, a wireless sensor network, and software for real-time in-field sensing and control of a site-specific precision linear-move irrigation system is discussed here. The crop field area can be monitored without human interaction. Sensors are the essential device for precision agricultural applications. In this paper we have detailed about how to utilize the sensors in paddy crop field area and explained about Wireless Sensor Network (WSN), sensor applications and the results are given when implemented in real time environment.
The main purpose of this project is to monitor the paddy crop field in a wireless manner. Here we sense the temperature, moisture and ph values of the field and water level in the well using temperature, humidity and flow sensor respectively. The analog value from the sensors is converted to digital format by the ADC. The ATMEL controller gets the output from the ADC. The sensor values monitored by the controller can be sent wirelessly to the user’s cell phone using GSM modem. The pumping motor can be switched ON if the
water level is high in the well. Here we use two motor one for low rpm by using sprinkling motor and another for high rpm by using shunt motor. The motor control can be done either by PC or through GSM modem.
EXISTING SYSTEM
Agricultural vehicle navigation includes both on-road and on-field operations. The objective for on-road navigation is to guide the vehicle traveling on paved or prepared road according to a scheduled path plan, and for on-field guidance is to guide the vehicle following crop rows without overrun on crops. In this paper, the authors have presented an on-field navigation system with redundant sensors of a vision sensor, a fiber optic gyroscope (FOG), and RTK GPS. A steering controller has been developed to implement steering control based on guidance information obtained from guidance sensors.
DISADVANTAGES
PROPOSED SYSTEM