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The behavioral changes of pigs can not only reflect their own health and welfare status, but also have important significance in improving the breeding environment. Rapid and accurate detection of pigs’ targets is the basis of behavioral change analysis.In view of this situation, a target detection algorithm based on deep learning is proposed, and its model structure and working principle are expounded. Then, through the test of pig image data set, the results show that this method can accurately detect pig targets under complex background.

A new kind of fibrous quantum dot sensitized solar cell has been designed and fabricated by using CdS and CdSe co-sensitized TiO(2) nanotubes on Ti wire as the photoanode and highly active Cu(2)S as the counter electrode. By optimizing the CdSe deposition time and the length of the nanotube, a power conversion efficiency of 3.18% has been obtained under AM 1.5 illumination (100 mW cm(-2)). The potential application of this kind of solar cell has also been discussed in this paper.