نتایج جستجو برای: yield management

تعداد نتایج: 1032129  

1999
Charles Weber Vijay Sankaran Kenneth W. Tobin Gary Scher

A model based on information theory, which allows technology managers to choose the optimal strategies for yield management in the semiconductor industry, is presented. The knowledge extraction rate per experimentation cycle and knowledge extraction rate per unit time serve as benchmarking metrics for yield learning. They enable managers to make objective comparisons of apparently unrelated tec...

Journal: :مجله پژوهش های اکوفیزیولوژی گیاهان زراعی 0

p. k. saha1, m. n. islam2* and m. s. islam3 1-ex-chief scientific officer, soil science division, brri, gazipur-1701, bangladesh 2- scientific officer, soil science division, brri, gazipur-1701, bangladesh 3-agricultural extension officer, dae, bangladesh *corresponding author email: [email protected]   received:12 may 2015                                                                       ...

Journal: :بوم شناسی کشاورزی 0
جواد حمزه ئی محسن سیدی مجید بابایی

introduction the lentil or masoor (lens culinaris l.) is a brushy annual plant of the legume family, grown for its lens-shaped seeds. lentil has been one of the first crops domesticated in the near east. with 26% protein, lentil is the vegetable with the highest level of protein other than soybeans, and it is an important part of people’s diet in many parts of the world. it is reported that the...

Journal: :علوم گیاهان زراعی ایران 0
محمدرضا چایی چی روزبه فرهودی ناصر مجنون حسینی غلامرضا ثواقبی

residue management has a direct impact on soil physical and chemical characteristics which in turn have identical effects on sustainability of crop production in agroecosystems. the effects of wheat residual management practices (burning, plowing under and removal) on soil physical and chemical characteristics were investigated in this research. treatments were compared in a complete block desi...

2005
A. Brock

of information on spatial variability in yield practically possible but the utility of this information for MZ delinUnsupervised clustering has been proposed for developing geoeation remains largely unexplored. referenced agronomic information into management zones (MZs). Our objectives were to use fuzzy c-means clustering to identify yield-based A decade ago, little was known about the spatiot...

Journal: :Journal of Environmental Science and Natural Resources 2013

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