Image-based Plant Nutrient Status Analysis: An Overview
Following the rapid advancement in both fields of precision farming and multimedia technology, imagebased plant nutrient status analysis as a nondestructive method is currently playing a more important role in optimizing N fertilizer inputs, improving crop yields and resource use efficiency than conventional soil and plant analysis. This development is primarily based on the supposition that the foliar appearance features such as color or textures can indicate explicitly the nutrient status of the plant leaf. Many results have been reported in the last few years. However, those results are mostly diverse and mainly focused on a very narrow field, therefore missing the information with which they are each other related. In this paper, we provide an overview on state-of-the-art of these methods and connect them together with techniques from three aspects: biometric modeling, image acquisition and image processing. For each aspect, the respective technical schemes are reviewed and compared with each other, thus based on the discussions, the future trends are pointed out.
plant nutrient status image-based analysis plant health field fertilizerdemand information technology
Xiaoming Yao Wencai Du Siling Feng Jun Zou
College of Information Science and Technology Hainan University Haikou, China
国际会议
厦门
英文
460-464
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）