Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点，设计了基于神经网络的作物营养诊断专家系统。
Traditionally, crop nitrogen nutrition diagnosis is based on chemical analysis of plant tissues, which are labor-intensive, time-consuming and involving hazardous chemicals.
传统的作物氮素营养诊断以实验室常规分析为基础，费时、费力及需要有毒化学品。
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