Aerial imagery or on-ground detection? An economic analysis for vineyard crops

Andújar, Dionisio; Moreno, Héctor; Bengochea-Guevara, José M.; Castro, A. de; Ribeiro, Ángela

doi:10.1016/j.compag.2019.01.007

Cited by 47 publications

(28 citation statements)

References 40 publications

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“…The need to fuse direct plant-based methods with indirect methods has been highlighted in recent literature, such as Kustas et al (2018) who showed that T/ET 0 estimates obtained by merging atmospheric measurements with remote sensing imagery require independent measurements such as vine transpiration using sap flow gauges to determine vine water use and stress level, which directly impact yield and fruit composition. From there, new analytical methods combining data fusion processing package and machine learning algorithms with direct and indirect measurements of vineyard ET are yielding successful results (Alfieri et al, 2018;Andújar et al, 2019;Helman et al, 2018;Prueger et al, 2018;Romero et al, 2018;Semmens et al, 2016) and could be promising tools for wine water status assessment and irrigation monitoring in the future.…”

Section: Resultsmentioning

confidence: 99%

State-of-the-art of tools and methods to assess vine water status

Rienth¹,

Scholasch²

2019

OENO One

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Rising global air temperatures will lead to an increased evapotranspiration and altered precipitation pattern. In many regions this may result in a negative water balance during the vegetative cycle, which can augment the risk of drought and will require mitigation strategies. These strategies, ultimately, will mean the installation of irrigation systems in some winegrowing regions where vines were cultivated historically under rain-fed conditions and growers do not have many years of experience with vine water management.This review aims to provide a state-of-the-art summary of the recent and most important literature on vine water assessment for monitoring and adapting vineyard management strategies to production goals in view of global warming. Plant, soil and atmospheric methods are reviewed, and their advantages and drawbacks are discussed. Recent advances in plant water status measurement reveal the limitation of traditional techniques such as water potential, particularly in the context of drought and high vapor pressure deficit and the discoveries regarding hydraulic and stomatal regulation. New technologies can integrate heterogeneous sources of information collected in the vineyard at different spatial and temporal resolutions. Such new approaches offer new synergies to overcome limitations inherent to plant water status measurement techniques obtained directly or indirectly from proxy measurements.

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Section: Resultsmentioning

confidence: 99%

State-of-the-art of tools and methods to assess vine water status

Rienth¹,

Scholasch²

2019

OENO One

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“…Compared to manual analysis processes characterized by high costs and operating times, the photogrammetry technique is a promising approach in precision farming scenarios, capable of creating more realistic models of crop structure, useful in decision-making processes. Andújar et al [ 24 ] described an economic comparison of operating costs of different technologies for crop volume estimation. The results showed similarity in volume values, although on-ground technology provided a greater level of detail.…”

Section: Introductionmentioning

confidence: 99%

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

Sassu

Gambella

Ghiani

et al. 2021

Sensors

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New technologies for management, monitoring, and control of spatio-temporal crop variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors able to provide useful data for the improvement of management efficiency and the optimization of inputs. unmanned aerial systems (UASs) are the newest and most versatile tools, characterized by high precision and accuracy, flexibility, and low operating costs. The work aims at providing a complete overview of the application of UASs in precision viticulture, focusing on the different application purposes, the applied equipment, the potential of technologies combined with UASs for identifying vineyards’ variability. The review discusses the potential of UASs in viticulture by distinguishing five areas of application: rows segmentation and crop features detection techniques; vineyard variability monitoring; estimation of row area and volume; disease detection; vigor and prescription maps creation. Technological innovation and low purchase costs make UASs the core tools for decision support in the customary use by winegrowers. The ability of the systems to respond to the current demands for the acquisition of digital technologies in agricultural fields makes UASs a candidate to play an increasingly important role in future scenarios of viticulture application.

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“…The mounting structure maintained both the inclination and separation distance fixed for all measurements, allowing deduction of the exact transformation values from the data-set to merge both clouds. The software used to read the sensor measurements was the manufacturer's proprietary program, SOPAS Engineering Tool, as commonly used, for example, in References [25][26][27][28] among others.…”

Section: Point Cloud Consolidationmentioning

confidence: 99%

Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System

et al. 2020

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The SUREVEG project focuses on improvement of biodiversity and soil fertility in organic agriculture through strip-cropping systems. To counter the additional workforce a robotic tool is proposed. Within the project, a modular proof of concept (POC) version will be produced that will combine detection technologies with actuation on a single-plant level in the form of a robotic arm. This article focuses on the detection of crop characteristics through point clouds obtained with two lidars. Segregation in soil and plants was successfully achieved without the use of additional data from other sensor types, by calculating weighted sums, resulting in a dynamically obtained threshold criterion. This method was able to extract the vegetation from the point cloud in strips with varying vegetation coverage and sizes. The resulting vegetation clouds were compared to drone imagery, to prove they perfectly matched all green areas in said image. By dividing the remaining clouds of overlapping plants by means of the nominal planting distance, the number of plants, their volumes, and thereby the expected yields per row could be determined.

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Aerial imagery or on-ground detection? An economic analysis for vineyard crops

Cited by 47 publications

References 40 publications

State-of-the-art of tools and methods to assess vine water status

State-of-the-art of tools and methods to assess vine water status

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System

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