Predicting working days for secondary tillage and planting operation in fall

Introduction The working day is an important component in selection and analysis of farm machinery systems. The number of working days is affected by various factors such as climate, soil characteristics and type of operation. Daily soil moisture models based on weather long-term data and soil chara...

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Autores principales:	A Kosari Moghaddam, H Sadrnia, H Aghel, M Bannayan Aval
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2016
Materias:	modeling planting secondary tillage workability working days Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/7b8dae730383478bb8822885f877ab1e
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spelling	oai:doaj.org-article:7b8dae730383478bb8822885f877ab1e2021-11-14T06:33:37ZPredicting working days for secondary tillage and planting operation in fall2228-68292423-394310.22067/jam.v6i2.38089https://doaj.org/article/7b8dae730383478bb8822885f877ab1e2016-09-01T00:00:00Zhttps://jame.um.ac.ir/article_31226_12fac8a42d3a570596eeca01924c4aa9.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Introduction The working day is an important component in selection and analysis of farm machinery systems. The number of working days is affected by various factors such as climate, soil characteristics and type of operation. Daily soil moisture models based on weather long-term data and soil characteristics were almost used for calculating probability of working days. The goal of this study was to develop a simulation model to predict the number of working days for secondary tillage and planting operation in fall at 50, 80 and 90% probability levels. Materials and Methods A Simulation model was developed using 21 years weather data and soil characteristics for calculate daily soil moisture content in Research Station of Ferdowsi University of Mashhad. So soil moisture was calculated using daily soil water equation for top 25 centimeter of soil depth. Moisture equal or lower than 85% of soil field capacity and precipitation lower than 4 millimeter (local data) were considered as soil workability criteria. Then the working days were determined for secondary tillage and planting operation at 50, 80 and 90% probability levels in falls. The number of days at 50% probability was the mean over 21 years and the number of days at 80% and 90% were determined for each two weeks period as the average number of working days minus the product of t value and standard deviation of those numbers. Model Evaluation Evaluation of model included a comparison of predicted and the observed the number of working days in Research Station of Ferdowsi University of Mashhad during 2002-2010 and sensitivity analysis was implemented to test the effect of changes in soil workability criterion (80, 90, 95 and 100% of soil field capacity), drainage coefficient (25 % decrease and increase) and soil field capacity (40% increase) on simulation results. Results and Discussion Comparison of predicted and observed days showed that correlation coefficient was 0.998 and the difference between the simulated data and observed data was not significant at the 5% level. Results from sensitivity analysis in Table 3 showed that when soil workability, drainage coefficient and field capacity increased, the number of working days increased, but model sensitivity was very low to drainage coefficient and soil field capacity. In general, the most important factor is precipitation in this weather conditions. The number of working days for secondary tillage and planting operation for each period in fall are shown in Table 4. Conclusions A simulation model was developed for predicting the number of working days for secondary tillage and planting operation in fall. This model was based on weather long-term data and soil characteristics for the Research Station of Ferdowsi University of Mashhad. The most important factor was precipitation and the model had low sensitivity to drainage coefficient and soil field capacity. The number of working days in 50%, 80% and 90% probability levels for period of ten days was on average 9.94, 9.21, 8.57 days for 23th September to 22th October and 9.77, 8.02, 6.41 days for 23th October to 21th November and 9.68, 7.48 and 5.24 for 22th November to 21th December, respectively.A Kosari MoghaddamH SadrniaH AghelM Bannayan AvalFerdowsi University of Mashhadarticlemodelingplantingsecondary tillageworkabilityworking daysAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 6, Iss 2, Pp 537-546 (2016)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	modeling planting secondary tillage workability working days Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	modeling planting secondary tillage workability working days Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 A Kosari Moghaddam H Sadrnia H Aghel M Bannayan Aval Predicting working days for secondary tillage and planting operation in fall
description	Introduction The working day is an important component in selection and analysis of farm machinery systems. The number of working days is affected by various factors such as climate, soil characteristics and type of operation. Daily soil moisture models based on weather long-term data and soil characteristics were almost used for calculating probability of working days. The goal of this study was to develop a simulation model to predict the number of working days for secondary tillage and planting operation in fall at 50, 80 and 90% probability levels. Materials and Methods A Simulation model was developed using 21 years weather data and soil characteristics for calculate daily soil moisture content in Research Station of Ferdowsi University of Mashhad. So soil moisture was calculated using daily soil water equation for top 25 centimeter of soil depth. Moisture equal or lower than 85% of soil field capacity and precipitation lower than 4 millimeter (local data) were considered as soil workability criteria. Then the working days were determined for secondary tillage and planting operation at 50, 80 and 90% probability levels in falls. The number of days at 50% probability was the mean over 21 years and the number of days at 80% and 90% were determined for each two weeks period as the average number of working days minus the product of t value and standard deviation of those numbers. Model Evaluation Evaluation of model included a comparison of predicted and the observed the number of working days in Research Station of Ferdowsi University of Mashhad during 2002-2010 and sensitivity analysis was implemented to test the effect of changes in soil workability criterion (80, 90, 95 and 100% of soil field capacity), drainage coefficient (25 % decrease and increase) and soil field capacity (40% increase) on simulation results. Results and Discussion Comparison of predicted and observed days showed that correlation coefficient was 0.998 and the difference between the simulated data and observed data was not significant at the 5% level. Results from sensitivity analysis in Table 3 showed that when soil workability, drainage coefficient and field capacity increased, the number of working days increased, but model sensitivity was very low to drainage coefficient and soil field capacity. In general, the most important factor is precipitation in this weather conditions. The number of working days for secondary tillage and planting operation for each period in fall are shown in Table 4. Conclusions A simulation model was developed for predicting the number of working days for secondary tillage and planting operation in fall. This model was based on weather long-term data and soil characteristics for the Research Station of Ferdowsi University of Mashhad. The most important factor was precipitation and the model had low sensitivity to drainage coefficient and soil field capacity. The number of working days in 50%, 80% and 90% probability levels for period of ten days was on average 9.94, 9.21, 8.57 days for 23th September to 22th October and 9.77, 8.02, 6.41 days for 23th October to 21th November and 9.68, 7.48 and 5.24 for 22th November to 21th December, respectively.
format	article
author	A Kosari Moghaddam H Sadrnia H Aghel M Bannayan Aval
author_facet	A Kosari Moghaddam H Sadrnia H Aghel M Bannayan Aval
author_sort	A Kosari Moghaddam
title	Predicting working days for secondary tillage and planting operation in fall
title_short	Predicting working days for secondary tillage and planting operation in fall
title_full	Predicting working days for secondary tillage and planting operation in fall
title_fullStr	Predicting working days for secondary tillage and planting operation in fall
title_full_unstemmed	Predicting working days for secondary tillage and planting operation in fall
title_sort	predicting working days for secondary tillage and planting operation in fall
publisher	Ferdowsi University of Mashhad
publishDate	2016
url	https://doaj.org/article/7b8dae730383478bb8822885f877ab1e
work_keys_str_mv	AT akosarimoghaddam predictingworkingdaysforsecondarytillageandplantingoperationinfall AT hsadrnia predictingworkingdaysforsecondarytillageandplantingoperationinfall AT haghel predictingworkingdaysforsecondarytillageandplantingoperationinfall AT mbannayanaval predictingworkingdaysforsecondarytillageandplantingoperationinfall
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Predicting working days for secondary tillage and planting operation in fall

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