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Drought stress of crops is an important factor affecting their yield and sustainable agricultural development. Accurate diagnosis of crop drought stress is the basis for improving water resource utilization. Imaging technology can quickly, automatically, non-destructively, accurately acquire and analyze the phenotype characteristics of crops, providing a powerful new tool for crop science research. This paper focuses on the review of phenotype imaging analysis techniques for crop drought stress diagnosis. First, the single imaging technique for crop drought stress diagnosis was introduced, and then we introduced the fusion imaging technique for crop drought stress diagnosis. In the aspect of single imaging technology introduction, firstly, the principles of six phenotype imaging techniques including RGB imaging, 3D imaging, near-infrared imaging, hyperspectral imaging, chlorophyll fluorescence imaging and thermal imaging are introduced in this paper, and then we introduced research progress of the single imaging technology in crop drought stress phenotype analysis, beside the research achievements in crop drought stress in recent years were further summarized. Finally, the imaging technology was summarized and prospected at the end of each imaging technology introduction. In the fusion imaging technology of crop drought stress, this paper first summarized the research results of the automatic comprehensive phenotype imaging analysis platform of crop drought stress in recent years, and then summarized and analyzed the research of different fusion imaging methods, analyzed their advantages and disadvantages, and prospected the future research direction of fusion imaging technology in the end. With the horizontal and vertical comparative analysis of the research results of a single imaging technology, we found that RGB imaging technology has the lowest application cost and the most extensive application range, but the lowest accuracy. The 3D imaging solves the problem of crop occlusion in RGB imaging, improves the accuracy, and is widely used in high-throughput phenotype extraction platforms. The information on crop phenotype parameters can be obtained by near-infrared spectroscopy, chlorophyll fluorescence and hyperspectral imaging in a fast and non-destructive way. Among them, the application scope of NIR imaging is limited due to its limited ability to obtain phenotype information and relatively high cost. Chlorophyll fluorescence and hyperspectral imaging are better at obtaining physiological and biochemical parameters of crops, and are widely used in the fusion of imaging methods. Thermal images obtained by infrared thermal imaging are often used to obtain crop physiological parameters, and are also combined with visible light images for phenotype extraction. In the meantime, the method of obtaining crop phenotype by using the fusion of multiple imaging technologies has the advantages of different imaging technologies, which can effectively avoid the defects of a single imaging technology and make up for the deficiencies of obtaining single imaging phenotype parameters, so as to reflect the crop growth status more accurately and efficiently. More accurate feature extraction can be achieved by integrating various image information obtained by various imaging technologies and using artificial intelligence methods for integrated image processing. The use of fusion imaging technology to obtain crop phenotypes will be one of the important directions of crop drought stress phenotypes extraction in the future. Finally, according to the current development situation, future research on phenotypic imaging technology for crop drought stress diagnosis prospects, including the development of new devices and the combination of new artificial intelligence algorithms. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Physical Education / Tiyu Xuekan is the property of Journal of Physical Education Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Resources & Environment / Nongye Ziyuan yu Huanjing Xuebao is the property of Journal of Agricultural Resources & Environment Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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[Objective] The study aimed to explore the relationship between weed diversity and soil factors in kiwifruit orchards under artificial disturbance, providing reference for formulating the accurate ecological weed control measures and ensuring the green production in orchards. [Method] The control and disturbed plots were set up. The a-species diversity indices and soil chemical indicators of these plot communities were measured, and the methods of redundancy analysis, canonical correspondence analysis and regression analysis were used to examine the effect of 'herbicide + manual weed control' disturbance on the coupling relationship between weed species diversity and soil factors. [Result] (i) The 25 weed species belonging to 15 families and 24 genera were recorded from five control plots, while 19 weed species belonging to 14 families and 18 genera were recorded from five disturbed plots, and the Asteraceae and Poaceae had the higher species richness. There was no significant difference in the four diversity indices between control and disturbed plots, however, the dominant weed changed from the native species Echinochloa crusgalli to the invasive species Alternanthera philoxeroides under disturbance. (ii) The redundancy analysis showed that the diversity indices had a negative relationship with soil pH, and disturbance further enhanced the determinant of pH on weed diversity. In disturbed plots, soil available phosphorus had a significant binomial fitting relationship with Simpson dominance index (R2 =0. 957, P=0.042) and Pielou evenness index (R2 =0.989, P=0.010), which all showed the convex trend. (iii) The canonical correspondence analysis showed that disturbance exacerbated the patchy aggregation distributions of weeds, and caused the determinants of weed distributions changing from soil pH and available potassium to available phosphorus and nitrate nitrogen, and led to an avoidance behavior of many weed species to the increasing nitrate nitrogen. In the canonical correspondence analysis diagram, the Digitaria sanguinalis and Solanum nigrum were all close to A. philoxeroides. [Conclusion] Maintaining a higher pH and available phosphorus content through soil improvement, planting native plants with strong resistance to prevent A. philoxeroides invasion through orchard grasses cultivation, and timely eradicating the nitrate nitrogen-preferred weeds are all beneficial for improving the quality and efficiency of weed control in kiwifruit orchards. [ABSTRACT FROM AUTHOR]

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