In order to solve the problem of variable rate fertilization in precision agriculture, and comprehensive study of the variation of soil nutrients, we developed a spatial fuzzy clustering variable-rate fertilization decision-making system which integrates artificial intelligence, data
mining, spatial analysis technology and visualization, introduces the three-dimensional visualization library VTK adopts Kriging interpolation method to implementation the interactive 3D spatial distribution of soil nutrients of corn in Jilin Province in the process for specific applications.
The results indicates: The system is capable for variable rate fertilization in precision agriculture decisions and have improved the soil spatial diversity, enhanced the capacity of agricultural management decision-making, it has received remarkable economic and social benefits.
The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.