Practical Applications of a Multisensor UAV Platform Based on Multispectral, Thermal and RGB High Resolution Images in Precision Viticulture

被引:111
作者
Matese, Alessandro [1 ]
Di Gennaro, Salvatore Filippo [1 ]
机构
[1] CNR, Inst Biometeorol IBIMET, Via Caproni 8, I-50145 Florence, Italy
来源
AGRICULTURE-BASEL | 2018年 / 8卷 / 07期
关键词
UAV; multisensor; CWSI; missing plants; high resolution images; WATER-STRESS; VINEYARD; CROP; THERMOGRAPHY; VARIABILITY; RESPONSES; CANOPIES; SENSOR; FIELD; PLOT;
D O I
10.3390/agriculture8070116
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
High spatial ground resolution and highly flexible and timely control due to reduced planning time are the strengths of unmanned aerial vehicle (UAV) platforms for remote sensing applications. These characteristics make them ideal especially in the medium-small agricultural systems typical of many Italian viticulture areas of excellence. UAV can be equipped with a wide range of sensors useful for several applications. Numerous assessments have been made using several imaging sensors with different flight times. This paper describes the implementation of a multisensor UAV system capable of flying with three sensors simultaneously to perform different monitoring options. The intra-vineyard variability was assessed in terms of characterization of the state of vines vigor using a multispectral camera, leaf temperature with a thermal camera and an innovative approach of missing plants analysis with a high spatial resolution RGB camera. The normalized difference vegetation index (NDVI) values detected in different vigor blocks were compared with shoot weights, obtaining a good regression (R-2 = 0.69). The crop water stress index (CWSI) map, produced after canopy pure pixel filtering, highlighted the homogeneous water stress areas. The performance index developed from RGB images shows that the method identified 80% of total missing plants. The applicability of a UAV platform to use RGB, multispectral and thermal sensors was tested for specific purposes in precision viticulture and was demonstrated to be a valuable tool for fast multipurpose monitoring in a vineyard.
引用
收藏
页数:13
相关论文
共 33 条
  • [1] Evaluation of different approaches for estimating and mapping crop water status in cotton with thermal imaging
    Alchanatis, V.
    Cohen, Y.
    Cohen, S.
    Moller, M.
    Sprinstin, M.
    Meron, M.
    Tsipris, J.
    Saranga, Y.
    Sela, E.
    [J]. PRECISION AGRICULTURE, 2010, 11 (01) : 27 - 41
  • [2] Review. Precision Viticulture. Research topics, challenges and opportunities in site-specific vineyard management
    Arno, J.
    Martinez-Casasnovas, J. A.
    Ribes-Dasi, M.
    Rosell, J. R.
    [J]. SPANISH JOURNAL OF AGRICULTURAL RESEARCH, 2009, 7 (04) : 779 - 790
  • [3] Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
    Berni, Jose A. J.
    Zarco-Tejada, Pablo J.
    Suarez, Lola
    Fereres, Elias
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (03): : 722 - 738
  • [4] Vine vigor, yield and grape quality assessment by airborne remote sensing over three years: Analysis of unexpected relationships in cv. Tempranillo
    Bonilla, Irene
    Martinez de Toda, Fernando
    Martinez-Casasnovas, Jose A.
    [J]. SPANISH JOURNAL OF AGRICULTURAL RESEARCH, 2015, 13 (02) : 1 - 8
  • [5] From pixel to vine parcel: A complete methodology for vineyard delineation and characterization using remote-sensing data
    Delenne, Carole
    Durrieu, Sylvie
    Rabatel, Gilles
    Deshayes, Michel
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2010, 70 (01) : 78 - 83
  • [6] Multisensor approach to assess vineyard thermal dynamics combining high resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing
    Di Gennaro, Salvatore Filippo
    Matese, Alessandro
    Gioli, Beniamino
    Toscano, Piero
    Zaldei, Alessandro
    Palliotti, Alberto
    Genesio, Lorenzo
    [J]. SCIENTIA HORTICULTURAE, 2017, 221 : 83 - 87
  • [7] Filippetti I, 2013, J INT SCI VIGNE VIN, V47, P21
  • [8] Airborne high-resolution images for grape classification: changes in correlation between technological and late maturity in a Sangiovese vineyard in Central Italy
    Fiorillo, E.
    Crisci, A.
    De Filippis, T.
    Di Gennaro, S. F.
    Di Blasi, S.
    Matese, A.
    Primicerio, J.
    Vaccari, F. P.
    Genesio, L.
    [J]. AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH, 2012, 18 (01) : 80 - 90
  • [9] Ground-truthing of remotely sensed within-field variability in a cv. Barbera plot for improving vineyard management
    Gatti, M.
    Garavani, A.
    Vercesi, A.
    Poni, S.
    [J]. AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH, 2017, 23 (03) : 399 - 408
  • [10] Goel NS, 1988, Remote Sens Rev, V4, P1