The application of deep learning (DL) technology to the identification of crop growth processes will become the trend of smart agriculture. However, using DL to identify wheat growth stages on mobile devices requires high battery energy consumption, significantly reducing the device’s operating time. However, implementing a DL framework on a remote server may result in low-quality service and delays in the wireless network. Thus, the DL method should be suitable for detecting wheat growth stages and implementable on mobile devices. A lightweight DL-based wheat growth stage detection model with low computational complexity and a computing time delay is proposed; aiming at the shortcomings of high energy consumption and a long computing time, a wheat growth period recognition model and dynamic migration algorithm based on deep reinforcement learning is proposed. The experimental results show that the proposed dynamic migration algorithm has 128.4% lower energy consumption and 121.2% higher efficiency than the local implementation at a wireless network data transmission rate of 0–8 MB/s.

Objective: To investigate the effect of raising family cognition on improving adherence and quality of life of 8-12-year-old children wearing orthokeratology lenses. Methods: From July 2019 to July 2020,120 children with orthokeratology lenses of our hospital were selected and randomly divided into two groups. The control group (n = 60) was given routine nursing, while the observation group (n = 60) was given home nursing intervention on the basis of the control group. To observe the treatment compliance, family cognition degree, sleep quality and quality of life in the two groups. Results: Compared with the control group, the patients in the observation group had higher treatment compliance and family cognition degree, lower scores of times to fall asleep, sleep duration, sleep disturbance and daytime function, and higher scores of physiological function, mental health, social function and emotional function (P<0.05). Conclusion: Strengthening home nursing intervention for patients wearing orthokeratology lenses can improve the cognition level of family members on the one hand, improve the compliance of children on the other hand, and improve the sleep quality and quality of life at the same time.