Intelligent Algorithm Optimization of Liquid Manure Spreading Control

The growth of field crops needs appropriate soil nutrients. As a basic fertilizer, liquid manure provides biological nutrients for crop and increases the content organic matter in crops. However, improper spraying not only reduces fertility but also destroys structure. Therefore, precise control amount is great significance agricultural production weight loss. In this study, we first built model control, then optimized BP neural network algorithm through genetic algorithm. stability efficiency controller were compared with PID, fuzzy PID BPNN-PID control. simulation results show that has shortest response time lowest relative error. Finally, platform experiments designed to verify four algorithms at different vehicle speeds. that, other algorithms, described here good stability, short time, small overshoot, can achieve an accurate fertilizer application effect, providing optimization scheme research on manure.