Sensing systems for precision agriculture in Florida

被引：27

作者：

Lee, Won Suk ^{[1
]}

Ehsani, Reza ^{[2
]}

机构：

[1] Univ Florida, Agr & Biol Engn Dept, Gainesville, FL 32611 USA

[2] Univ Florida, Citrus Res & Educ Ctr, Lake Alfred, FL 33850 USA

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2015年 / 112卷

关键词：

Citrus; Disease; Machine vision; Mid-infrared; Near-infrared; Specialty crops; SPECTRAL MEASUREMENT; TEXTURE FEATURES; NIR SPECTROSCOPY; MACHINE VISION; CITRUS-FRUIT; DISEASE; SIZE; CLASSIFICATION; IDENTIFICATION; PHOSPHORUS;

D O I：

10.1016/j.compag.2014.11.005

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Many sensing systems have been developed for use in precision agriculture in Florida over the past decade. These systems have been designed for specialty crops such as citrus and blueberry. Systems include those for fruit recognition for yield mapping as well as those for disease detection systems using ground and aerial-based platforms. Other systems discussed are used in soil phosphorus detection using near-infrared (NIR) and Raman spectroscopy, debris detection generated from citrus mechanical harvesting, detection of citrus fruit dropped on the ground due to disease, citrus leaf nitrogen detection, silage yield mapping, soil nutrients and grain insect detection using NIR spectroscopy. A summary of past efforts is presented in this paper, applications of these different sensing systems are discussed, and future directions are described. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：2 / 9

页数：8

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