Modeling of soil tillage techniques using Fruchterman–Reingold Algorithm

The demanding use of agricultural machines would lead to grave problems concerning the quality of agriculture soils making their compaction and disturbing the growth of the associated vegetation. Indeed, it affects the water infiltration and the soil structure. Different techniques of tillage are carried out to ameliorate the soil state. In this paper, two tillage techniques were used to study the state of soil through analyzing their impact on the resistance to penetration of the soil, its bulk density and the machinery effort traction. The measured values of resistance to penetration in the conventional technique are 66% greater than in the permanent bed. Also, the measured bulk density in the conventional technique is 10% greater than that reported in permanent bed. Furthermore, the permanent bed technique consumes less traction energy. This technique illustrates a 54% gain of energy compared to the conventional technique. Also, the Fruchterman–Reingold Algorithm was applied, to discover the correlations and associations among the agricultural soil features and different experimental situations. Consequently, a strong relationship was observed between bulk density and the tillage technique. Another strong correlation is revealed between resistance to penetration and depth.