Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard

Zhang, Chenglong; Valente, João; Wang, Wensheng; Guo, Lei; Comas, Aina Tubau; Dalfsen, Pieter van; Rijk, Bert; Kooistra, L.

doi:10.1016/j.isprsjprs.2023.02.003

Cited by 7 publications

(4 citation statements)

References 29 publications

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“…Lastly, proximal sensors can measure soil qualities directly or indirectly and are close to, or even in contact with, the ground. The use of such advanced sensors and tools can provide farmers with valuable insights into crop growth and yield [77].…”

Section: Discussionmentioning

confidence: 99%

Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato

Vurro,

Croci,

Impollonia

et al. 2023

Plants

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Monitoring plant growth and development during cultivation to optimize resource use efficiency is crucial to achieve an increased sustainability of agriculture systems and ensure food security. In this study, we compared field monitoring approaches from the macro to micro scale with the aim of developing novel in vivo tools for field phenotyping and advancing the efficiency of drought stress detection at the field level. To this end, we tested different methodologies in the monitoring of tomato growth under different water regimes: (i) micro-scale (inserted in the plant stem) real-time monitoring with an organic electrochemical transistor (OECT)-based sensor, namely a bioristor, that enables continuous monitoring of the plant; (ii) medium-scale (<1 m from the canopy) monitoring through red–green–blue (RGB) low-cost imaging; (iii) macro-scale multispectral and thermal monitoring using an unmanned aerial vehicle (UAV). High correlations between aerial and proximal remote sensing were found with chlorophyll-related indices, although at specific time points (NDVI and NDRE with GGA and SPAD). The ion concentration and allocation monitored by the index R of the bioristor during the drought defense response were highly correlated with the water use indices (Crop Water Stress Index (CSWI), relative water content (RWC), vapor pressure deficit (VPD)). A high negative correlation was observed with the CWSI and, in turn, with the RWC. Although proximal remote sensing measurements correlated well with water stress indices, vegetation indices provide information about the crop’s status at a specific moment. Meanwhile, the bioristor continuously monitors the ion movements and the correlated water use during plant growth and development, making this tool a promising device for field monitoring.

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Section: Discussionmentioning

confidence: 99%

Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato

Vurro,

Croci,

Impollonia

et al. 2023

Plants

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show abstract

“…UAVs could be used to monitor crop health, soil moisture levels, and identify areas that require irrigation or fertilization. With the use of advanced sensors and cameras, drones can capture sensing data and conduct surveys that provide farmers with valuable insights into crop growth and yield ( Zhang et al., 2023 ). Moreover, various aspects of the guidance, navigation, and control of UAV when applied to agriculture started to be investigated to allow real-time crop management with fleets of autonomous UAVs.…”

Section: Robotics and Uavs In Smart Farmingmentioning

confidence: 99%

Section: Robotics and Uavs In Smart Farmingmentioning

confidence: 99%

Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture, volume II

Qiao

et al. 2023

Front. Plant Sci.

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“… Note : The present table was adapted from Table 1 as introduced in the related research article [2] . …”

Section: Data Descriptionmentioning

confidence: 99%

Data on three-year flowering intensity monitoring in an apple orchard: A collection of RGB images acquired from unmanned aerial vehicles

et al. 2023

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Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard

Cited by 7 publications

References 29 publications

Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato

Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato

Editorial: AI, sensors and robotics in plant phenotyping and precision agriculture, volume II

Data on three-year flowering intensity monitoring in an apple orchard: A collection of RGB images acquired from unmanned aerial vehicles

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