A Low Cost Portable Temperature-Moisture Sensing Unit With Artificial Neural Network Based Signal Conditioning For Smart Irrigation Applications

Abstract

The recent trends in developing low cost techniques to support cost effective agriculture in developing countries with large population has motivated the development of low cost sensing systems to provide for low cost irrigation facilities and also to provide for conservation of water at the same time. The current paper highlights the development of temperature and soil moisture sensor that can be placed on suitable locations on field for monitoring of temperature and moisture of soil, the two parameters to which the crops are susceptive. The sensing system is based on a feedback control mechanism with a centralized control unit which regulates the flow of water on to the field in the real time based on the instantaneous temperature and moisture values. Depending on the varied requirement of different crops, a lookup table has been prepared and referred to for ascertaining the amount of water needed by that crop. The system based on a microcontroller has been applied on rice and maize fields spanning over area of 1 acres each for 3 weeks and more than 94% of the

Predistortion System Implementation Based On Analog Neural Networks For Linearizing High Power Amplifiers Transfer Characteristics

“…Architecture of the predistortion feedback technique The AM/AM and the AM/PM transfer characteristics of the predistortion functions are deduced from the HPA ones. By comparison with others non-linear modeling systems, the predistortion with Neural Networks (NNs) has the advantage of a high inherent parallelism with a simple repetitive scheme, which makes them attractive for integrated circuit technologies implementation purposes [12][13][14]. Moreover, NNs have the ability to be adaptive in that their parameters may be updated.…”

“…The technique described in [4] is particularly interesting since the output signal is used to monitor the predistortion module but does not directly participate in the linearization scheme (Figure 3). with Neural Networks (NNs) has the advantage of a high inherent parallelism with a simple repetitive scheme, which makes them attractive for integrated circuit technologies implementation purposes [12][13][14]. Moreover, NNs have the ability to be adaptive in that their parameters may be updated.…”

Analysis and Experimental Study of Optimal Soil Moisture Sensor Probe Length

“…Output voltage values in different organic liquids with different probe structures were tested and recorded. According to the result, we are able to find out whether the optimal structure obtained by HFSS simulation could satisfy practical measurement [18].…”

Centralized Discrete State Space Model Predictive Control And Decentralized Pi-D Controller Of An Aerothermic Process

“…Although the temperature control is no more a challenging control problem in most of these applications. Nevertheless, some practical issues in many temperature control applications stimulate new developments and further investigations [1][2][3][4][5][6][7][8][9][10][11][12][13][14].…”