Crop-Water Production Function and the Problems of Drainage and Salinity

1991 ◽  
pp. 209-227 ◽  
Author(s):  
John Letey
Keyword(s):  
Production Function ◽  
Water Production ◽  
Crop Water

Computing the crop water production function for onion

2000 ◽  
Vol 46 (1) ◽  
pp. 29-41 ◽  
Author(s):  
M.S Al-Jamal ◽  
T.W Sammis ◽  
S Ball ◽  
D Smeal
Keyword(s):  
Production Function ◽  
Water Production ◽  
Crop Water

Development of optimal irrigation schedules and crop water production function for cassava: study over three major growing areas in India

2020 ◽  
Vol 38 (3) ◽  
pp. 251-261 ◽  
Author(s):  
Raji Pushpalatha ◽  
Sunitha Sarojini Amma ◽  
James George ◽  
Shiny Rajan ◽  
Byju Gangadharan
Keyword(s):  
Production Function ◽  
Water Production ◽  
Crop Water

Calculation of Parameters of Crop Water Production Function of Jensen Model Based on Stochastic Particle Swarm Optimization Algorithm

2014 ◽  
Vol 937 ◽  
pp. 548-553
Author(s):  
Shu Hui Chang ◽  
Zhi Hong Qie
Keyword(s):  
Global Optimization ◽  
Particle Swarm Optimization ◽  
Production Function ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Water Production ◽  
Crop Water ◽  
Swarm Optimization ◽  
Stochastic Particle

In this paper, Stochastic Particle Swarm Optimization Algorithm (SPSO) is introduced to calculate parameters of crop water production function directly. SPSO is an improvement of the standard PSO, compared with which, it can be guaranteed to converge to the global optimization solution with probability one in theory, and speed up the convergence. The dimension of space of a particulate is determined by the phases of crop growth and development period in SPSO, and the sensitive index , an important parameter of crop water production function, is regarded as optimized variable to be calculated directly. This method can eliminate some problems existing in linear regression method, such as biased estimate and distortion of result and it can search the global optimization value more easily than the PSO. Through example analysis, we can see that the SPSO is better than PSO in accuracy and calculation speed.

Sensitivity analysis of FAO 33 crop water production function

2011 ◽  
Vol 30 (2) ◽  
pp. 89-100 ◽  
Author(s):  
Kami Kaboosi ◽  
Feridon Kaveh
Keyword(s):  
Sensitivity Analysis ◽  
Production Function ◽  
Water Production ◽  
Crop Water

Crop-Water Production Functions

1983 ◽  
pp. 61-97 ◽  
Author(s):  
H.J. Vaux ◽  
William O. Pruitt
Keyword(s):  
Production Functions ◽  
Water Production ◽  
Crop Water
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