Modelling uncertainty in field grown iceberg lettuce production for decision support

T. D. Harwood*, F. A. Al Said, S. Pearson, S. J. Houghton, P. Hadley

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

8 اقتباسات (Scopus)

ملخص

Uncertainty in terms of input parameters, particularly weather variables, has implications for the results of a deterministic crop prediction model. This manuscript describes the development of the Iceberg Predictor decision support system which uses a stochastic weather generator to provide three alternative scenarios for future weather. These are used to drive a mechanistic model which provides posterior distributions of potential crop outcomes including within-field variability, which are summarised for grower interpretation. Multiple crops can be simulated allowing improved management of uncertainty at the whole enterprise scale. Experimental work demonstrated that variation in transplant size is a major contributor to variability in the final harvest.

اللغة الأصليةEnglish
الصفحات (من إلى)57-63
عدد الصفحات7
دوريةComputers and Electronics in Agriculture
مستوى الصوت71
رقم الإصدار1
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 2010

ASJC Scopus subject areas

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