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A Life Factor Approach to the Yield Prediction: a Comparison with a Technological Approach in Reliability and Accuracy

Lykhovyd Pavlo

Journal of Ecological Engineering

2019

Vol. 20, nr 6

177--183

There are a number of various approaches to the development of yield predictive models in agriculture. One of the most popular ones is based on the yield modeling from the parameters of crop cultivation technology. However, there is another view on the yield prediction models, which is based on the use of life factors as yielding parameters. Our study is devoted to the comparison of a conventional technological approach to the yield prediction with a less prevalent approach of life factor based yield modeling. The testing of two approaches was performed by using the yielding data of sweet corn cultivated in the field trials under the drip-irrigated conditions of the Southern Ukraine, under the different technological treatments, viz. plowing depth, nutrition, and crop density. We developed two multiple linear regression models to compare their efficiency in the yielding predictions. One of the models used cultivation technology parameters as the inputs while the other used life factors as the inputs. Life factors were expressed in numeric values by using the following converter: total water consumption of the crop was used as the factor of water, the total sum of positive temperatures was used as the factor of heat, and the total sum of the main nutrients (NPK) available in the soil was used as the factor of nutrition. The results of the study proved an equal accuracy and reliability of the studied models of sweet corn yields, which is obvious from the values of RSQ. RSQ of the both studied regression models was 0.897. However, additional check of the modeling approaches applied in the feed-forward artificial neural network showed that the life factor based model with the RSQ value of 0.953 provided better yield predictions than the technologically based model with the RSQ value of 0.913. Therefore, we concluded that the life factor approach should be preferred to the technological approach in the development of yield predictive models for agriculture.

Wyniki ultradźwiękowych pomiarów grubości eksploatowanych elementów maszyn roboczych jako wskaźniki ich trwałości

Sozański L.

Systems : journal of transdisciplinary systems science

2003

Vol. 8, No. sp.

488-495

W pracy omówiono zasady pomiaru grubości metodą ultradźwiękową elementów eksploatowanych maszyn i urządzeń. Scharakteryzowano siosowaną aparaturę oraz wymagania dotyczące personelu wykonującego pomiary. Analizowano źródła błędnych wyników pomiarów grubości oraz stosowane metody zapobiegania. Zwrócono uwagę na konieczność uwzględniania niepewności pomiaru grubości przy wykorzystaniu ich wyników do oszacowania stopnia zużycia elementów maszyn i urządzeń. Podano przykłady z praktyki.

In the paper the principles of the elements thickness measurements with the ultrasonic investigation methodology of the exploited machinery and systems uere shown. The measuring equipment characteristics and the staff requirements were described. The sources of the elements thickness measurements results errors and the prevention steps \\ere analyzed. The unreliability of the thickness measurements results were pointed and the necessity of unreliability consciousness for the results application in the machinery elements uear stage assessment. The practical examples were presented.