Naslov
One Method of Yield Estimation

Autori
Crnjac Milić, Dominika ; Crnjac, Miljenko ; Vukičević, Milan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
1st Special Focus Symposium on Market Microstructure: From Orders to Prices-Best Execution in the Age of Algo Trading and Event Stream Processing / Prof.Dr.Dr.H.C. Otto Loistl ; Prof.Dr.Dr.H.C. Vladimir Šimović ; Prof.DR.Georg E. Lasker - Zagreb : Učiteljski fakultet Sveučilišta u Zagrebu, 2007, 71-75

ISBN
978-953-7210-04

Skup
The 1 st International Conference on Advances and Systems Research

Mjesto i datum
Zadar, Hrvatska, 25.10.2007. - 27.10.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
mathematical model ; yield ; functional ; minimization ; parameter

Sažetak
In agriculture, livestock farming and other production systems it is very important to have good yield estimation in early stages of production.This issue was analyzed by Singh in 1992 with the application of ordinary logistic function. Based on data, provided by Agronomy Division of Indian Agricultural Research Institute, New Delhi, related to dry matter quantity and ear weight on m2 in wheat and rice fields for the period starting from six weeks after seeding up to harvesting, estimated was upper asymptote of logistic function. This was basis for yield estimation. Later, this assessment would be used for comparison with actual yield data after the harvest. This paper presents several options for selection of growth models together with efficient method for parameters assessment representing yield estimate. This methodology is used for making more realistic growth models, and therefore it is assumed that yield estimates will be more accurate which leads to better economic effects in agricultural production and livestock farming.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

POVEZANOST RADA