Digital control model for rain-fed farm management

By:

KAHLON, Kashmir Singh

Material type: Text

TextPublication details: Ludhiana PAU 1983Edition: Electrical EngineeringDescription: 51LSubject(s):

DDC classification:

T 658.93 K11D

Summary: The modern techniques of linear stochastic estimation and prediction theory are applied to estimate parameters of the ARMA type model for the rainfall-runoff process based on the field data. More specifically the recursive least squares algoritum is used

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Theses/ Dissertation	Mohinder Singh Randhawa Library	T 658.93 K11D (Browse shelf(Opens below))	Not for loan		138159
Theses/ Dissertation	Mohinder Singh Randhawa Library	T 658.93 K11D (Browse shelf(Opens below))	Not for loan		138160

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Previous	T 658.93 H31R ROLE OF SOCIAL MEDIA (YOUTUBE) IN PERFORMING AGRI-BUSINESS IN PUNJAB	T 658.93 H31R ROLE OF SOCIAL MEDIA (YOUTUBE) IN PERFORMING AGRI-BUSINESS IN PUNJAB	T 658.93 K11D Digital control model for rain-fed farm management	T 658.93 K11D Digital control model for rain-fed farm management	T 658.93 K13C Capital budgeting practices in agro-based industries in Punjab	T 658.93 K13C Capital budgeting practices in agro-based industries in Punjab	T 658.93 K13F Farm adjustment on the introduction of new irrigation facilities in canal irrigated areas of Hissar district	Next

The modern techniques of linear stochastic estimation and prediction theory are applied to estimate parameters of the ARMA type model for the rainfall-runoff process based on the field data. More specifically the recursive least squares algoritum is used

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