A Review of Methods and Techniques for Detecting Frost on Plant Surfaces

Huan Song, Yongguang Hu, Yongzong Lu, Jizhang Wang, Qingmin Pan and Pingping Li
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Huan Song: Agricultural Engineering Institute, Jiangsu University, Zhenjiang 212013, China
Yongguang Hu: Agricultural Engineering Institute, Jiangsu University, Zhenjiang 212013, China
Yongzong Lu: Agricultural Engineering Institute, Jiangsu University, Zhenjiang 212013, China
Jizhang Wang: Agricultural Engineering Institute, Jiangsu University, Zhenjiang 212013, China
Qingmin Pan: Agricultural Engineering Institute, Jiangsu University, Zhenjiang 212013, China
Pingping Li: College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China

Agriculture, 2021, vol. 11, issue 11, 1-22

Abstract: Severe frost usually has adverse impacts on agricultural production, resulting in crop freeze injury, poor crop yield, and crop quality reduction. Timely and accurate detection of frost plays an important role in cold damage warnings, prevention, and control. Current frost detection methods mostly use physical properties such as light, electricity, and heat, or the judge and quantify using environmental factors such as temperature and wind speed. However, it is difficult to detect and accurately identify the frosting phenomenon in real time during field trials because of the complex environment, different plant types, and interference by many factors during observation. To provide an overview of the analytical tools for scientists, researchers, and product developers, a review and comparative analysis of the available literature on frost mechanisms, correlations, and characteristics are presented in this study. First, the mechanisms of the frost formation process, frost level, and the significance of detection, are introduced. Then, the methods and techniques used to measure frost on plant surfaces are synthetically classified and further compared. Moreover, the key points and difficulties are summarized and discussed. Finally, some constructive methods of frost detection are proposed to improve the frost detection process.

Keywords: plant; leaf surface; frost; frost characteristics; detection (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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