Ming Li

TL;DR: The purpose is to provide researchers and technicians with a better understanding of DL techniques and their state-of-art achievements in SPM, which can promote the implement of various SPM applications.

TL;DR: In this paper, an end-to-end model based on the Faster regional convolutional neural network (R-CNN) was developed to improve the tiny pest detection accuracy.

TL;DR: In this paper, two different leaf area index models are established and compared with the evolution of the real crop determined with an electronic planimeter: (1) Considering the temperature and photosynthetically active radiation (PAR) as the main impact factors over crop growth, a TEP-LAI model based on product of thermal effectiveness and PAR is built to estimate the leaf areas index dynamics; and (2) TOM-LAI model, based on a tomato growth model is also used to estimate an explicit function of the number of leaves and vines.

TL;DR: It is concluded that the PS II activity was relatively sensitive to Zn deficiency, hence the chlorophyll fluorescence parameters like F v ′/ F m ′ and ϕ PS II may be used as predictive indictors for hidden ZN deficiency on apple trees.

TL;DR: The orchard information bidirectional acquisition system was developed on an Android platform with the Java language, which has the function of QR decoding, farm record information collection, environment information acquisition, data uploading and statistical analysis, and was tested in an apple orchard.