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Keyword [Predicting]
Result: 121 - 140 | Page: 7 of 9
121. Using a geographic information system (GIS) and the water erosion prediction project model (WEPP) to obtain soil erodibility parameters for predicting sediment yields from urbanizing sub-basins in Montgomery County, Maryland, U.S.A
122. Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley
123. Predicting nitrogen fertilizer rate and timing effects on soft winter wheat grain quality
124. A methodological framework for modelling the impacts of climate change on agricultural crop production at national and farm scales: Predicting maize (Zea mays L.) yields in Mexico
125. Predicting swine odour concentrations
126. Predicting college students' food intake with measures of executive functioning
127. Development and evaluation of models for predicting reproductive performance in large commercial dairy herds
128. A GIS model for predicting potential 'high risk' areas of West Nile virus by identifying ideal mosquito breeding habitats
129. Predicting the repercussions of anthropogenic landscape modifications on the biota using species focused adaptable GIS and spatial dynamic models
130. Heated competition: Predicting the effects of climate change on competing non-native pumpkinseed (Lepomis gibbosus) and Eurasian perch (Perca fluviatilis) in the United Kingdom
131. Predicting the Moisture Content and Texture of Raw Pistachio Kernels during Storage
132. Measuring and predicting erosion and sediment yields on St. John, U.S. Virgin Islands
133. Predicting forest fire occurrence in Ontario
134. Predicting measures of diversity for forest regeneration using site and overstory variables: A regression approach
135. Predicting Impacts on Balsam Fir due to Hemlock Looper and Balsam Fir Sawfly Defoliation for a Decision Support System
136. Predicting conservation status of North American avian and mammalian scavengers: Implications of geography, life history, behaviour and human disturbanc
137. Development and Field-Testing of the DRAINMOD-FOREST Model for Predicting Water, Soil Carbon and Nitrogen Dynamics, and Plant Growth in Drained Forests
138. Predicting methane emissions from dairy and beef cattle
139. Predicting fish assemblages in small, boreal lakes in Alberta using landscape and local factors
140. Predicting partitioning of cadmium, copper, lead, nickel, zinc, and soil organic matter in soil solution from soil parameters
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