How to use domestic large models for gardening and plant care?

When scientific guidance for gardening and plant care is needed, domestic large models can provide multi-dimensional support through data integration and intelligent analysis, covering key aspects such as plant selection, environmental management, and pest control. Plant selection: By inputting the local climate (e.g., northern temperate, southern subtropical), soil type (sandy/clayey), and planting space (balcony/courtyard), the large model can recommend highly adaptable varieties (e.g., cold-hardy peonies for the north, heat and humidity-tolerant Monstera deliciosa for the south), along with information on growth cycles and basic requirements (e.g., light duration, drought tolerance). Growth environment management: Upload soil test data (e.g., nitrogen, phosphorus, potassium levels) or describe light conditions (e.g., daily direct sunlight duration), and the model can analyze suitability for target plants, providing adjustment recommendations such as fertilization ratios (e.g., nitrogen emphasis for foliage plants) and watering frequency (e.g., once every 7-10 days for succulents). Pest and disease identification: Upload photos of abnormal leaves (e.g., yellow spots, curling) or insect bodies, and the model can quickly identify pest/disease types (e.g., red spiders, downy mildew) and propose biological control methods (e.g., introducing ladybugs to control aphids) or low-toxicity pesticide solutions (e.g., matrine). It is recommended to regularly update care knowledge through the large model, fine-tune plans based on local real-time weather (e.g., reducing watering during the plum rain season), and beginners should start with easy-to-grow varieties (e.g., pothos, spider plants) to gradually improve planting efficiency.