CAJ | 학술논문

基于不结球白菜育苗潮汐灌溉的需求，尝试根据气象条件，通过BP神经网络算法来预测作物的需水量，优化控制规则，作为指导种苗灌溉的依据。验证结果表明，该神经网络达到预期效果，经过训练的神经网络可以用于预测湿度变化率或需水量。
기우불결구백채육묘조석관개적수구，상시근거기상조건，통과BP신경망락산법래예측작물적수수량，우화공제규칙，작위지도충묘관개적의거。험증결과표명，해신경망락체도예기효과，경과훈련적신경망락가이용우예측습도변화솔혹수수량。
Based on the tidal irrigation requirement of pakchoi (Brassica campestris ssp.chinensis L.), this article tried to foresee water requirement of crop by BP neutral network arithmetic, which was according to weather condition, in order to optimize the control rule and provide evidence for seedling irrigation. The results showed that, the BP neutral network achieved expected effect, and the BP neutral network which had been trained could foresee change rate of humidity or water requirement.