Soil / crop segmentation from remotely sensed data acquired by Unmanned Aerial System

Mancini, Adriano; Dyson, Jack; Frontoni, Emanuele; Zingaretti, Primo

doi:10.1109/icuas.2017.7991526

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…The existing architecture in agricultural surveying consists of a set of operations such as Aerial Survey, Data Acquisition, Data Analysis, Ground Truthing. UAVs of fixed-wing or Quad-copter types are used as a platform to fly sensors (e.g., [2], [3], [4], etc.) and imaging devices, such as Multi-spectral cameras and Infra-red sensors.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Architecture for UAV-based Agricultural Survey

Mondal

Williamson

et al. 2020

AIAA Scitech 2020 Forum

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This paper presents the concept of autonomous architecture for UAVs to minimize human involvement for agricultural surveying. Agricultural surveying applications include monitoring crop health and collecting ground truth data for treatment and harvest planning. The proposed architecture can automate the entire surveying process and helps farmers to obtain specific and essential knowledge about the crop more quickly. This architecture helps to increase crop yields while reducing operating costs. The autonomy is achieved by integrating functional modules such as Mission Planning, image processing, task allocation, and communication. This work is focused on describing the mission planning and task allocation since image processing is not within the scope.

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Section: Introductionmentioning

confidence: 99%

Autonomous Architecture for UAV-based Agricultural Survey

Mondal

Williamson

et al. 2020

AIAA Scitech 2020 Forum

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“…A hybrid approach proposed by Chopin et al (2016) utilizes basic apriori information about the plant shape and local image orientations. Mancini et al (2017)'s proposed algorithm takes into account muti-spectral as well as synthetic features that were derived from their developed models. Pande-Chhetri et al ( 2017) utilized an object-based analysis using spectral, textural and geometrical object features computed from the individual pixels within each object.…”

Section: Limitation Of Colour-and Threshold-based Approach For Vegetation Segmentationmentioning

confidence: 99%

Advanced classification of volunteer potato in a sugar beet field

Suh¹

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long been used as a "weed-killer" because salt was known to destroy plant life quite well (Dreiling, 2017). Only in the beginning of the 20th century, the modern ways of chemical treatment for weed control have begun with the introduction of effective synthetic herbicides. Chemical weed control has gradually become a viable alternative for laborious mechanical weed removal (Kelton & Price, 2011). In addition, the application of herbicides using a tractor-pulled spraying system significantly reduced the labour burdens associated with the weeding. Nowadays with the advent of automation and precision agriculture technologies, site-specific weed management is becoming feasible. In site-specific weed management, i.e. differentiated application of herbicides on an individual plant level provides an efficient way to minimise herbicide costs and environmental impact.

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