![]() To accurately, rapidly, stably, and nondestructively measure the NPK levels in tomato plants, a nondestructive determination method based on multispectral three-dimensional (3D) imaging was proposed. Measurement of plant nitrogen (N), phosphorus (P), and potassium (K) levels are important for determining precise fertilization management approaches for crops cultivated in greenhouses. Therefore, the multispectral 3D reconstruction approach is able to reconstruct the plant multispectral 3D point cloud model, which optimizes the traditional two-dimensional image-based SPAD measurement method and can obtain a precise and efficient high-throughput measurement of plant chlorophyll. The results revealed that the measurement model established by using the characteristic variables from the multiview point cloud model was superior to the one established using the variables from the single-view point cloud model. An experiment was conducted to measure plant canopy chlorophyll and the relative chlorophyll content was measured by the soil and plant analyzer development (SPAD) measurement model based on a 3D multispectral point cloud model and a single-view point cloud model and its performance was compared and analyzed. Furthermore, a 3D multiview RGB-D image-reconstruction method based on the pose estimation and self-calibration of the Kinect sensor was developed to reconstruct a multispectral 3D point cloud model of the tomato plant. A heterogeneous sensing image registration technique based on the Fourier transform was proposed, which was used to register the SOC710 multispectral reflectance in the Kinect depth image coordinate system. The system used a Kinect sensor, an SOC710 hyperspectral imager, an electric rotary table, and other components. In this study, a highly integrated, multispectral, three-dimensional (3D) nondestructive measurement system for greenhouse tomato plants was designed. A nondestructive measurement system to retrieve plant information includes the measurement of morphological and physiological information, but most systems use two independent measurement systems for the two types of characteristics. ![]() This performance brings farmers the data they need to monitor crops more precisely, feed other precision agriculture technologies, and continue improving their management decisions.Nondestructive plant growth measurement is essential for researching plant growth and health. These images are then easily transformed into false-colour orthomosaics using Postflight Terra 3D software, with accuracy of down to 3cm (1.18in). Its default 12MP NIR camera is capable of shooting aerial imagery at down to 2cm (0.7in) / pixel. With its maximum flight time of 45 minutes, the eBee Ag can photograph areas of up to 1,000ha (2,470 ac) in a single flight. It also includes a handy index computation tab, which allows customers to select a band, calculate NDVI, or input custom formulas in order to create the exact maps they require. Postflight Terra 3D can be used to produce false-colour orthomosaics and 3D models. The eBee Ag is supplied with two advanced software packages: eMotion 2 for flight planning and control and Postflight Terra 3D photogrammetry software for post-flight image processing and analysis.
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