Methods and systems for generating fertilizer formulas

A method for generating a fertilizer formula, wherein the method is executed by a processor, comprising:

• obtaining a basic formula for fertilization;
• obtaining monitoring data based on a monitoring device, the monitoring device being deployed at a predetermined point of a target planting unit;
• determining a soil feature of the predetermined point based on the monitoring data;
• determining an experimental scheme and experimental parameters based on the soil feature and an experimental design, and the experimental scheme comprising one or more experimental processings and an optimized fertilization processing as a control, the experimental parameters comprising a dosage of a conditioner, a fertilization ratio of a controlled-release fertilizer, a reduced fertilization ratio of a nitrogen nutrient, a reduced fertilization ratio of a phosphorus nutrient, and a reduced fertilization ratio of a potassium nutrient;
• determining a fertilization dosage based on the experimental parameters and the basic formula for fertilization, and conducting an intelligent planting experiment based on the fertilization dosage and the experimental scheme;
• wherein the intelligent planting experiment comprises:
• obtaining a physicochemical feature at one or more time points corresponding to a predetermined sub-region of the target planting unit based on the monitoring device and compressing and storing the physicochemical feature within a predetermined compression intensity to obtain a physicochemical feature sequence of the predetermined sub-region, the physicochemical feature comprising at least one of a temperature, a humidity, a pH value, or an EC value, and the predetermined compression intensity being determined based on a residual storage capacity of a storage unit;
• determining whether an abnormal sub-region exists based on the physicochemical feature sequence;
• and
• in response to a determination that the abnormal sub-region exists, performing a predetermined processing on the abnormal sub-region;
• wherein the monitoring device collects the physicochemical feature at a first collection frequency and uploads the physicochemical feature to the processor, the first collection frequency is issued by the processor to the monitoring device within a first predetermined period, the first collection frequency is determined based on a free resource bandwidth of the processor in a future time period, and the first predetermined period is determined based on a change rate of a free resource bandwidth of the processor in a historical time period;
• obtaining experimental parameters and experimental yield data of each of the one or more experimental processings, and optimized yield data of the optimized fertilization processing, and storing the experimental parameters, the experimental yield data, and the optimized yield data in the storage unit;
• and
• determining a model for reduced fertilization of nitrogen, phosphorus, and potassium nutrients based the experimental parameters, the experimental yield data, and the optimized yield data through a regression model, and storing the model for reduced fertilization of nitrogen, phosphorus, and potassium nutrients in the storage unit, wherein the regression model is extracted by the processor from the storage unit, and the model for reduced fertilization of nitrogen, phosphorus, and potassium nutrients comprises a model for reduced fertilization of phosphorus and potassium nutrients and a model for reduced fertilization of nitrogen nutrient.