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The relationship between the soil parameters measured during soil testing using the bevameter system and horizontal forces acting on a simple tillage tool were investigated. Field experiments were conducted on untilled, compacted soil and on recently tilled soil. On both soils, five sites were randomly chosen where bevameter and draft measurements were performed. The parameters measured were modulus of soil deformation, wet and dry bulk density, soil moisture content, tool operating depth, tool operating speed and horizontal draft. A statistical analysis of data indicated that a mathematical model for predicting draft should include operating depth, dry bulk density and modulus of deformation.

A knowledge-based system for agricultural tillage equipment selection and management is presented. There are ten tillage systems suitable for corn and soybean production in Ontario. These systems manipulate the soil by different amounts resulting in varying levels of soil degradation, crop yields, and weed problems. Many factors, such as soil characteristics, climate, farm economics, and environmental impact make the selection of the most appropriate tillage practice a difficult task. Except for mouldboard plough, few farmers have experience operating and managing these tillage systems. Knowledge and information obtained from three experts is incorporated into the knowledge-based computer program to aid farmers in the selection and management of tillage systems. Selection criteria included in the program are environmental impact, management difficulty, economic return, and energy output/input ratio.