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Crop three-dimensional reconstruction is an effective means to realize crop phenotype quantification and accurate acquisition, and can provide basic data support for breeding and cultivation. A nondestructive acquisition method for three-dimensional reconstruction and phenotypic parameters of leafy vegetable crops were presented based on Kinect V3 sensor. Firstly, a low-cost three-dimensional reconstruction platform that can realize rapid acquisition of multi-view point clouds of crops was designed. The loading surface of the platform was designed as multiple calibration points, and the table surface information can be used for point cloud horizontal calibration. Secondly, the multi-view point clouds obtained were registered and spliced by combining the carrier platform restoration and the generalized iterative closest point (GICP) algorithm to realize the three-dimensional reconstruction of leafy vegetable crops. Finally, through effective phenotypic parameter measurement, the accurate acquisition of phenotypic parameters such as plant height, leaf length, leaf width, and leaf area of leafy vegetable crops was achieved. To evaluate the similarity of this method, seedling plants of Malabar spinach, cabbage, eggplant, and purple back sunflower were selected as test objects and compared with the SFM-MVS method. The test results showed that the average distance errors between the point clouds of Malabar spinach, cabbage, eggplant, and purple back sunflower were 0.381 cm, 0.340 cm, 0.195 cm, and 0.270 cm respectively, and the three-dimensional reconstruction results of the two had high similarity. Compared with the manual measured values, the determination coefficients of plant height, leaf length, leaf width, and leaf area of Malabar spinach and purple back sunflower extracted by this method were not less than 0.903, and the average absolute percentage error was not higher than 9.759%. The root mean square errors of plant height, leaf length, leaf width, and leaf area of Malabar spinach and purple back sunflower were 0.366 cm, 0.203 cm, 0.290 cm, 3.182 cm2 and 0.496 cm, 0.344 cm, 0.282 cm, 0.825 cm2, respectively, indicating that it had high measurement accuracy. The above method can provide a fast and efficient way for crop phenotype acquisition for facility agriculture breeding and cultivation.