Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management

Hunter, Joseph E.; Gannon, Travis W.; Richardson, Robert J.; Yelverton, Fred H.; León, Ramón G.

doi:10.1002/ps.5651

Cited by 56 publications

(42 citation statements)

References 25 publications

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“…The remote sensing task currently accounts for the majority of the operations performed with agricultural UASs [ 16 ]. In addition to applications involving the use of sensors and the extrapolation of useful information, UASs are applied and are under study for various types of operations, such as crop spraying operations [ 17 , 18 , 19 , 20 , 21 , 22 ], or combined with wireless sensor network (WSN) ground monitoring systems [ 23 ].…”

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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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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“…The studied crops included maize [21][22][23][24][25][26], rice [27][28][29][30], wheat [31][32][33][34], barley [33,35], oat [36], soybeans [37,38], beans [39], spinach [39], vine [40][41][42][43], sugar beet [26], oilseed rape [44], sunflowers [45][46][47][48][49][50], cotton [51], grass [52], and meadows [53][54][55][56]. All fields except meadows were cultivated in a monocultural way.…”

Section: Study Topicsmentioning

confidence: 99%

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

et al. 2021

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The development of UAV (unmanned aerial vehicle) imaging technologies for precision farming applications is rapid, and new studies are published frequently. In cases where measurements are based on aerial imaging, there is the need to have ground truth or reference data in order to develop reliable applications. However, in several precision farming use cases such as pests, weeds, and diseases detection, the reference data can be subjective or relatively difficult to capture. Furthermore, the collection of reference data is usually laborious and time consuming. It also appears that it is difficult to develop generalisable solutions for these areas. This review studies previous research related to pests, weeds, and diseases detection and mapping using UAV imaging in the precision farming context, underpinning the applied reference measurement techniques. The majority of the reviewed studies utilised subjective visual observations of UAV images, and only a few applied in situ measurements. The conclusion of the review is that there is a lack of quantitative and repeatable reference data measurement solutions in the areas of mapping pests, weeds, and diseases. In addition, the results that the studies present should be reflected in the applied references. An option in the future approach could be the use of synthetic data as reference.

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“…Most weed research aims at developing strategies that can reduce the deleterious impact of the interspecific competition between crops and weeds and recent technological advances may further contribute to this scope, while improving the sustainability of weed control [26][27][28]. Worldwide, weed competition causes severe yield reduction in all major crops, such as wheat (23%), soybean (37%), rice (37%), maize (40%), cotton (36%), and potato (30%) [1].…”

Section: Introductionmentioning

confidence: 99%

Drone and sensor technology for sustainable weed management: a review

Esposito

Crimaldi

Cirillo

et al. 2021

Chem. Biol. Technol. Agric.

106

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Weeds are amongst the most impacting abiotic factors in agriculture, causing important yield loss worldwide. Integrated Weed Management coupled with the use of Unmanned Aerial Vehicles (drones), allows for Site-Specific Weed Management, which is a highly efficient methodology as well as beneficial to the environment. The identification of weed patches in a cultivated field can be achieved by combining image acquisition by drones and further processing by machine learning techniques. Specific algorithms can be trained to manage weeds removal by Autonomous Weeding Robot systems via herbicide spray or mechanical procedures. However, scientific and technical understanding of the specific goals and available technology is necessary to rapidly advance in this field. In this review, we provide an overview of precision weed control with a focus on the potential and practical use of the most advanced sensors available in the market. Much effort is needed to fully understand weed population dynamics and their competition with crops so as to implement this approach in real agricultural contexts.

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Integration of remote‐weed mapping and an autonomous spraying unmanned aerial vehicle for site‐specific weed management

Cited by 56 publications

References 25 publications

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

Drone and sensor technology for sustainable weed management: a review

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