Towards Precision Fertilization: Multi-Strategy Grey Wolf Optimizer Based Model Evaluation and Yield Estimation

Precision fertilization is a major constraint in consistently balancing the contradiction between land resources, ecological environment, and population increase. Even more, it popular technology used to maintain sustainable development. Nitrogen (N), phosphorus (P), potassium (K) are main sources of nutrient income on farmland. The traditional fertilizer effect function cannot meet conditional agrochemical theory’s extremes because soil influenced by various factors statistical errors harvest yield. In order find more accurate scientific ratios, has been proposed multi-strategy-based grey wolf optimization algorithm (SLEGWO) solve this paper, using “3414” experimental field design scheme, taking Nongan County, Jilin Province as site obtain data, residuals ternary Nitrogen, phosphorus, target function. results showed that SLEGWO could improve fitting degree equation then reasonably predict application ratio It precision modeling method. provides new means problem testing fertilization.