FORECASTING DIFFERENT PHENOLOGICAL PHASES OF APPLE USING ARTIFICIAL NEURAL NETWORK

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YAZDANPANAH HOJAT; OHADI DELNAZ; SOLEIMANI TABAR MARYAM

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Journal: JOURNAL OF RESEARCH IN AGRICULTURAL SCIENCE Year:2010 | Volume:6 | Issue:2 (11) Page(s): 97-106

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Title

FORECASTING DIFFERENT PHENOLOGICAL PHASES OF APPLE USING ARTIFICIAL NEURAL NETWORK

Author(s)

YAZDANPANAH HOJAT | OHADI DELNAZ | SOLEIMANI TABAR MARYAM | Issue Writer Certificate

Keywords

PHENOLOGYQ3

APPLEQ3

CLIMATEQ3

NEURAL NETWORKQ3

Abstract

Apple is one of the oldest trees in the world which is widely cultivated because of it’s highly compatibility with various climatic conditions. In this study, we applied phenological statistics of agricultural meteorology of Golmakan to anticipate different phonologic phases of APPLE using intelligent NEURAL NETWORK. At first the matrix of input data which is consisting of climatic parameters such as minimum temperature, maximum temperature, the mean of daily temperature, absolute minimum temperature, and absolute maximum temperature has been established. The range of temperature changes, growing days and timed chilling unit (in silver tip phase) had been prepared for different phenological stages during 1999-2005; then the matrix of out coming data which, in fact, were the occurrence dates of different phenological stages of APPLE was prepared and the modeling of different phenological stages was performed by using NEURAL NETWORK. In this study the accuracy of model was examined by using RMSE index and by contrasting real and anticipation dates during 2 years. For this purpose observed climatic and phenological data was also used in similar Figure at out of investigating zone. It’s also specified we could anticipate phenological stages of APPLE with acceptable accuracy using climatic parameters.

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APA: Copy

YAZDANPANAH, HOJAT, OHADI, DELNAZ, & SOLEIMANI TABAR, MARYAM. (2010). FORECASTING DIFFERENT PHENOLOGICAL PHASES OF APPLE USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF RESEARCH IN AGRICULTURAL SCIENCE, 6(2 (11)), 97-106. SID. https://sid.ir/paper/115285/en

Vancouver: Copy

YAZDANPANAH HOJAT, OHADI DELNAZ, SOLEIMANI TABAR MARYAM. FORECASTING DIFFERENT PHENOLOGICAL PHASES OF APPLE USING ARTIFICIAL NEURAL NETWORK. JOURNAL OF RESEARCH IN AGRICULTURAL SCIENCE[Internet]. 2010;6(2 (11)):97-106. Available from: https://sid.ir/paper/115285/en

IEEE: Copy

HOJAT YAZDANPANAH, DELNAZ OHADI, and MARYAM SOLEIMANI TABAR, “FORECASTING DIFFERENT PHENOLOGICAL PHASES OF APPLE USING ARTIFICIAL NEURAL NETWORK,” JOURNAL OF RESEARCH IN AGRICULTURAL SCIENCE, vol. 6, no. 2 (11), pp. 97–106, 2010, [Online]. Available: https://sid.ir/paper/115285/en

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