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Accurate soil nutrient data are crucial for precise fertilizer recommendations in intelligent agriculture. However, the process of soil testing, which includes collecting samples, determining available nutrients and interpreting results, is expensive. To address this challenge, spatial interpolation methods are commonly used to predict soil fertility. Yet, existing techniques like IDW (Inverse Distance Weighting) and OK (Ordinary Kriging) face limitations, making it difficult to achieve highly accurate estimates. Therefore, this paper introduces NCAMS (Neighbor Cluster Adaptive Model with Spatial Color Block), a novel interpolation approach that automatically identifies nearby points crucial for estimating soil nutrient values at a given location. In our approach, we not only consider spatial correlation but also incorporate the soil variables of sampled points. Delaunay triangulation and hash functions further divide data points into distinct clusters, with our model automatically selecting specific clusters. Moreover, our interpolation method integrates IDW and OK without requiring extensive training on real-world data. Extensive experiments on four real-world datasets, conducted through cross-validation, demonstrate the superior performance of our approach compared to eight state-of-the-art methods.

In this paper, we have developed a color block play device for children’s attention testing and validated it through correlation analysis with Mr. CUCUI testing, which uses currently for children’s attention testing. The developed device detects seven colors of objects using Arduino Uno, which receives data from the color sensor and uses a Bluetooth module to transmit that data to a smartphone wirelessly. In addition, we have developed a smartphone application that generates the order of stacking the block with voice. To evaluate the developed color block play device, we analyzed the correlation with the Mr. CUCUI test to verify the feasibility. The correlation result shows a high correlation of -.783. This result means that the color block test is valid as an attention test.

Woodblock printed Chinese new year (WNY) painting has been a popular art form in Chinese folk culture. To make a WNY painting involves carving images on woodblocks and printing colors using woodblocks. Although thousands of WNY paintings were preserved, the ten-year national survey reveals that a great number of woodblocks were damaged or lost. In this paper, we study a novel problem of decomposing woodblock images from WNY paintings, which currently requires a tremendous amount of manual labor. We also find that the state-of-the-art methods of natural image segmentation generate poor results in our application. Instead of using sophisticated schemes, we develop a simple yet robust decomposition approach, which contains the extraction of line block image and the separation of color block images. The effectiveness of the proposed approach is validated through both quantitative evaluation and visual quality comparison with six state-of-the-art methods on multiple WNY paintings.

Elizabeth Hun Schmidt challenges charter school studentsand expectationswith an ambitious curriculum.

This Los Angeles photographer, video artist, and filmmaker has a wardrobe as creative and eclectic as her talents.

Caledonian tweeds and heritage cashmere are in full force this season. Fellow Scots Christopher Kane and Stella Tennant head for the mills with Sarah Mower.

Brace yourself: The big, broad shoulder is back. Sarah Mower wears fashion's latest load.

Model Joan Smalls trails the world's fastest sprinter, Usain Bolt, as a documentary crew tracks his every stride.