Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications

Mahmud, Sultan; Zahid, Azlan; He, Long; Choi, Daeun; Krawczyk, Grzegorz; Zhu, Heping; Heinemann, P.

doi:10.1016/j.compag.2021.106053

Cited by 41 publications

(11 citation statements)

References 32 publications

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“…The 2D laser scanner surveys revealed a significant relationship with pruning weight (r = 0.80), yield and vigour indices, demonstrating the potential of using laser scanner measurements to assess the variability of vine vigour within vineyards [81]. The evaluation of canopy attributes (height, width and density), assessed with laser scanning technology provide information to improve agrochemical spray treatments [82,83].…”

Section: Technologies and Sensors For Vineyard Monitoringmentioning

confidence: 85%

Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review

Ferro

Catania

2023

Horticulturae

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The potential of precision viticulture has been highlighted since the first studies performed in the context of viticulture, but especially in the last decade there have been excellent results have been achieved in terms of innovation and simple application. The deployment of new sensors for vineyard monitoring is set to increase in the coming years, enabling large amounts of information to be obtained. However, the large number of sensors developed and the great amount of data that can be collected are not always easy to manage, as it requires cross-sectoral expertise. The preliminary section of the review presents the scenario of precision viticulture, highlighting its potential and possible applications. This review illustrates the types of sensors and their operating principles. Remote platforms such as satellites, unmanned aerial vehicles (UAV) and proximal platforms are also presented. Some supervised and unsupervised algorithms used for object-based image segmentation and classification (OBIA) are then discussed, as well as a description of some vegetation indices (VI) used in viticulture. Photogrammetric algorithms for 3D canopy modelling using dense point clouds are illustrated. Finally, some machine learning and deep learning algorithms are illustrated for processing and interpreting big data to understand the vineyard agronomic and physiological status. This review shows that to perform accurate vineyard surveys and evaluations, it is important to select the appropriate sensor or platform, so the algorithms used in post-processing depend on the type of data collected. Several aspects discussed are fundamental to the understanding and implementation of vineyard variability monitoring techniques. However, it is evident that in the future, artificial intelligence and new equipment will become increasingly relevant for the detection and management of spatial variability through an autonomous approach.

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Section: Technologies and Sensors For Vineyard Monitoringmentioning

confidence: 85%

Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review

Ferro

Catania

2023

Horticulturae

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“…Generally, the damaged area of direct targets caused by pests is very small, so entire individual plants with partially damaged areas and regional communities with gradually damaged plants are used as operation targets in pest control to facilitate operation practices, that is, entire individual plants and regional community plants are recognized as indirect targets. The main recognition means for indirect targets include using machine vision, satellite remote sensing [12], light detection and ranging (LiDAR) [32], etc.…”

Section: Indirect Targetsmentioning

confidence: 99%

A Review: Development of Plant Protection Methods and Advances in Pesticide Application Technology in Agro-Forestry Production

Zheng,

2023

Agriculture

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In this review, through reviewing the history of the struggle between human beings and plant diseases, insects and weeds, more specifically thoughts on plant protection in ancient Chinese agricultural books, the recognition of plant pests as a target and six types of plant protection methods and 36 subdivision measures are summarized. Then, we focus on the development overview of pesticide application technology and conduct a systematic review by combining the development timeline of pesticide application and key technologies including performance measurement and the simulation and modeling of pesticide-spraying systems. Finally, three suggestions for further research are proposed from the perspectives of human beings’ and environmental health, sustainable and eco-friendly application media and efficient application equipment systems in plant protection.

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“…The experiment revealed that the use of the alpha-shape algorithm may better describe the distributions of the canopy and provide a more realistic representation of the canopy. Mahmud et al [36] employed the alpha-shape algorithm to estimate the volume of a fruit tree, with the canopy volume calculated by this algorithm showing a significant correlation with the physically counted foliage. Chakraborty et al [37] employed a handheld 3D LiDAR scanning device to determine the volume of a grapevine canopy, and they found that the voxel-based algorithm more accurately accounts for changes in canopy structure than does the convex hull algorithm.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Slicing and Reconstruction Algorithm for Precise Canopy Volume Estimation in 3D Citrus Tree Point Clouds

Li,

Tang,

Hou

et al. 2024

Preprint

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Crop phenotyping data collection is the basis for precision agriculture and smart decisionmaking applications. In this study, a dynamic slicing and reconstruction canopy volume (DR) algorithm is proposed to accurately estimate citrus canopy volume. The algorithm dynamically slices nearby slices based on their proportional area change and density difference, subsequently conducting AS reconstruction and volume calculation for each slice using an iterative mean point spacing as the α-value. Compared with six point cloud-based reconstruction algorithms, the DR approach achieved the best results in removing perforations and lacunae (0.84) and exhibited volumetric consistency (1.53) that closely aligned with the growth pattern of citrus trees. The DR algorithm effectively addresses the challenges of adapting the thickness and number of canopy point cloud slices to the shape and size of the canopy in the ASBS and CHBS algorithms, as well as overcoming inaccuracies and incompleteness in reconstructed canopy models caused by limitations in capturing detailed features using the PCH algorithm. It offers improved adaptive ability, finer volume computations, better noise reduction, and anomaly removal. In conclusion, we recommend selecting appropriate operating environments for each algorithm based on their principles, geometric properties, volumetric values, running time, and linear relationships with one another to guide orchard mechanization and intelligent operation.

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Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications

Cited by 41 publications

References 32 publications

Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review

Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review

A Review: Development of Plant Protection Methods and Advances in Pesticide Application Technology in Agro-Forestry Production

Dynamic Slicing and Reconstruction Algorithm for Precise Canopy Volume Estimation in 3D Citrus Tree Point Clouds

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