Lógica fuzzy aplicada na produtividade de sorgo forrageiro em diferentes sistemas de preparo de solo

The article discusses the application of fuzzy logic to optimize soil preparation systems for maximizing forage sorghum (Sorghum bicolor L. Moench) productivity. Fuzzy logic proved effective in managing complex variables such as soil density,porosity, and penetration resistance. The study was conducted in Petrolina (PE) and involved experiments with different tractor speeds and soil preparation methods. Results highlighted the inverse relationship between porosity and soil resistance, showingthat porosity ranges between 0.40–0.60 m³/m³ favor productivity. Despite limitations, including a Relative Mean Error of 26.15%, the fuzzy model effectively captured general trends. Practices such as subsoiling and traffic control were emphasized as crucial for reducing compaction and improving predictive model performance.