Transformed Inverse Model at Quadratic Variable in fertilizer Response

2007 ◽  
Vol 1 (2) ◽  
pp. 80-85
Author(s):  
I.S. Salawu
1970 ◽  
Vol 10 (1) ◽  
pp. 88-99
Author(s):  
Barkat Ali Quraishi ◽  
Muhammad Jameel Khan

Reliable knowledge about the contribution of various factors responsible for increasing agricultural production is indispensable for planning. This holds particularly for the fertilizer use, which has been recognized as one of the quickest and, perhaps, the cheapest means for increasing agricultural produc¬tion. In Pakistan the emphasis on planned development is gaining momentum and for this purpose more data and fuller information on fertilizer response are becoming increasingly essential. The Agricultural Research Stations in the country have been conducting experiments with a view to determining the extent to which the cropped yield may increase due to the application of fertilizer. But such experiments, because of their somewhat controlled nature in respect of certain factors, obviously can¬not tell us with a desired measure of accuracy as to what is actually happening at millions of private farms throughout the country. And, as such, the planning in this regard is apt to be wrong.


1995 ◽  
Vol 25 (2) ◽  
pp. 208-214 ◽  
Author(s):  
J.S. Shumway ◽  
H.N. Chappell

The Diagnosis and Recommendation Integrated System (DRIS) has been used successfully in agricultural crops and holds promise for use in forest stands. This study used soil tests to develop DRIS norms and evaluate their effectiveness in coastal Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) forests. DRIS norms for nitrogen, phosphorus, potassium, and calcium were developed using soil test and site index data from 72 soil series that commonly support Douglas-fir in western Washington. The norms were tested using soil test and stand basal area growth response data from 20 thinned and 30 unthinned N fertilizer test sites in coastal Washington and Oregon. Response to urea fertilizer in thinned stands averaged 34% and 43% for 224 and 448 kg N•ha−1, respectively, when N was identified as the most limiting nutrient. When N was not the most limiting nutrient, N response averaged 8% and 10% for 224 and 448 kg N•ha−1, respectively. Results were similar in unthinned stands and thinned stands, although response to fertilizer appeared to be slightly less in unthinned stands when N was the most limiting nutrient. DRIS correctly classified 25 of the 33 sites (76%) where N fertilizer increased growth by more than 15%. More importantly, 13 of the 17 (76%) sites that responded by less than 15% were correctly identified by DRIS. The results clearly indicate that N fertilizer response is dependent on the interactions (balance) between soil nutrients at a given site. Future soil diagnostic work needs to focus on techniques, like DRIS, that provide an assessment of these interactions.


2021 ◽  
Vol 6 (2) ◽  
pp. 2814-2821
Author(s):  
Sung-Woo Kim ◽  
Buyoun Cho ◽  
Seunghoon Shin ◽  
Jun-Ho Oh ◽  
Jemin Hwangbo ◽  
...  

2021 ◽  
pp. 107754632098638
Author(s):  
Yaya Yan ◽  
Longlei Dong ◽  
Yi Han ◽  
Weishuo Li

Because of the nonlinear hysteresis characteristics of the magneto-rheological damper, the damper’s inverse model has disadvantages of low fitting accuracy and poor practicality. Therefore, in this study, an optimized genetic algorithm has been proposed to optimize the back propagation neural network’s initial weights and threshold. Compared with other damper controllers, the proposed inverse model improves the control current’s prediction accuracy and tracks the desired damping force in real time. Moreover, the proposed inverse model and designed fuzzy controller are applied to the 1/4 vehicle suspension system simulation. The obtained results show that the optimized neural network model can be applied to a practical control. The root mean square value of body acceleration of semi-active suspension is lower than that of passive suspension under different road excitation. This method provides a foundation for the accurate modeling and semi-active control of the magneto-rheological damper.


2009 ◽  
Vol 96 (2) ◽  
pp. 345-356 ◽  
Author(s):  
Orsolya Hakkel ◽  
Zoltán Pászti ◽  
Tamás Keszthelyi ◽  
Krisztina Frey ◽  
László Guczi

2010 ◽  
Vol 160-162 ◽  
pp. 974-979
Author(s):  
Nai Feng Fan ◽  
Zhen Luo ◽  
Yang Li ◽  
Wen Bo Xuan

Resistance spot welding (RSW) is an important welding process in modern industrial production, and the quality of welding nugget determines the strength of products to a large extent. Limited by the level of RSW quality monitor, however, RSW has rarely been applied to the fields with high welding quality requirements. Associated with the inversion theory, in this paper, an electromagnetic inverse model of RSW was established, and the analysis of influence factors, such as the layout of the probes, the discrete program and the regularization method, was implemented as well. The result shows that the layout of the probe and the regularization method has great influence on the model. When the probe is located at the y direction of x-axis or the x direction of y-axis and Conjugate Gradient method is selected, a much better outcome can be achieved.


2008 ◽  
Vol 13 (5) ◽  
pp. 050501 ◽  
Author(s):  
Narasimhan Rajaram ◽  
Tri H. Nguyen ◽  
James W. Tunnell

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