Object-based early monitoring of a grass weed in a grass crop using high resolution UAVimagery

Title Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imageryTitle (native language)

Category Recording or mapping technology

Short summary forpractitioners (Practiceabstract) in English)

Sorghum halepense (johnsongrass) is a perennial weed with a vegetative reproductive system andone of the most competitive weeds in maize showing a spatial distribution in compact patches. Whenmaize is irrigated, successive weed emergences occur in the early phenological phases of the crop,which require several herbicide applications. Our aim was to provide an accurate tool for an earlydetection and mapping of johnsongrass patches and delineate the actual surface area requiring asite-specific herbicide treatment based on the weed coverage. This early detection represents a majorchallenge in actual field scenarios because both species are in the Poaceae family, and showanalogous spectral patterns, an extraordinarily similar appearance and a parallel phenologicalevolution. To solve this, an automatic OBIA (object-based-image-analysis) procedure was developedto be applied on orthomosaicked images using visible (red-green-blue bands) and multispectral (red-green-blue and near infrared bands) cameras collected by an unmanned aerial vehicle (UAV) that flewat altitudes of 30, 60 and 100 m on two maize fields. One of our first phases was the generation ofaccurate orthomosaicked images of an herbaceous crop such as maize, which presented a repetitivepattern and nearly no invariant parameters to conduct the aerotriangulation. Here, we show that high-quality orthomosaicks were produced from both cameras and that they were able to be the first stepfor mapping the johnsongrass patches. The most accurate weed maps were obtained using themultispectral camera at an altitude of 30 m in both fields. These maps were then used to design asite-specific weed management program, and we demonstrated that potential herbicide savingsranged from 85 to 96 %. Our results showed that accurate and timely maps of johnsongrass patchesin maize can be a key element in achieving site-specific and sustainable herbicide applications forreducing spraying herbicides and costs. © 2016, INRA and Springer-Verlag France.

Short summary forpractitioners

Website https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007492450&doi=10.1007%2fs13593-016-0405-7&partnerID=40&md5=4d300ce087e05625ba63211ae31b659c

Audiovisual materialLinks to other websitesAdditional commentsKeywords Agricultural production systems | Farming practice

Additional keywords corn; Drone; Johnsongrass; maize; OBIA; precision agriculture; Site-specific herbicide; Sorghumhalepense; UAS; Weed detection and mapping

Geographical location(NUTS)

EU

Other geographicallocation Córdoba (southern Spain)

Cropping systems Arable cropsField operations Weed controlSFT users Farmer | ContractorEducation level of users Secondary education | Apprenticeship or technical school educationFarm size (ha) 50-100 | 100-200

Scientific articleTitle Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery

Full citationLópez-Granados, F.; Torres-Sánchez, J.; De Castro, A.-I.; Serrano-Pérez, A.; Mesas-Carrascosa, F.-J.;Peña, J.-M. (2016). Agronomy for Sustainable Development, Volume 36, Issue 4,DOI:10.1007/s13593-016-0405-7

Effects of this SFTProductivity (crop yield per ha) Some increaseQuality of product No effectRevenue profit farm income Some increaseSoil biodiversity No effectBiodiversity (other than soil) No effectInput costs No effectVariable costs No effectPost-harvest crop wastage No effectEnergy use No effectCH4 (methane) emission No effectCO2 (carbon dioxide) emission No effectN2O (nitrous oxide) emission No effectNH3 (ammonia) emission No effectNO3 (nitrate) leaching No effectFertilizer use No effectPesticide use Some decreaseIrrigation water use No effectLabor time No effectStress or fatigue for farmer No effectAmount of heavy physical labour No effectNumber and/or severity of personal injury accidents No effectNumber and/or severity of accidents resulting in spills property damage incorrectapplication of fertiliser/pesticides etc. No effect

Pesticide residue on product No effectWeed pressure Some decreasePest pressure (insects etc.) No effectDisease pressure (bacterial fungal viral etc.) No effect

Information related to how easy it is to start using the SFTThis SFT replaces a tool or technology that is currently used. The SFT is better than thecurrent tool no opinion

The SFT can be used without making major changes to the existing system no opinionThe SFT does not require significant learning before the farmer can use it disagreeThe SFT can be used in other useful ways than intended by the inventor no opinionThe SFT has effects that can be directly observed by the farmer disagreeUsing the SFT requires a large time investment by farmer agreeThe SFT produces information that can be interpreted directly disagree

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This factsheet was generated on 2018-Apr-03 11:57:21.