Search results for "precision agriculture"

showing 10 items of 34 documents

Systèmes imageurs 3D pour des applications agricoles : caractérisation de cultures et phénotypage de racines

2016

The development of the concepts of precision agriculture and viticulture since the last three decades has shown the need to use first 2D image acquisition techniques and dedicated image processing. More and more needs concern now 3D images and information. The main ideas of this chapter is thus to present some innovations of the 3D tools and methods in the agronomic domain. This chapter will particularly focus on two main subjects such as the 3D characterization of crop using Shape from Focus or Structure from Motion techniques and the 3D use for root phenotyping using rhizotron system. Results presented show that 3D information allows to better characterize crucial crop morphometric parame…

[SDE] Environmental Sciences0106 biological sciences2. Zero hungerRoot (linguistics)Focus (computing)SHAPE FROM FOCUSComputer scienceMachine vision3D reconstructionImage processing04 agricultural and veterinary sciencesPHENOTYPAGE15. Life on land01 natural sciencesData scienceDomain (software engineering)Agricultural science[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesStructure from motionSTRUCTURE FROM MOTIONPrecision agriculture010606 plant biology & botany
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A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images

2022

Abstract In precision agriculture, the accurate segmentation of crops and weeds in agronomic images has always been the center of attention. Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue for the images with a high presence of weeds. This work proposes a segmentation method based on the combination of semantic segmentation and K-means algorithms for the segmentation of crops and weeds in color images. Agronomic images of two different databases were used for the segmentation algorithms. Using the thresholding technique, everything except plants was removed from the images. Afterward, semantic segmentation was applied usin…

Subtractive colorComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONConfusion matrixForestryAquatic ScienceThresholdingAccurate segmentationComputer Science ApplicationsClassification rateAnimal Science and ZoologySegmentationPrecision agricultureCluster analysisAgronomy and Crop ScienceAlgorithmInformation Processing in Agriculture
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A system for the real-time geo-referenced measurement of soil parameters

2011

The aim of this research is to develop a system for accurately measuring in real-time, collecting and processing a high amount of geo-referenced data of soil physical-mechanical parameters, e.g. cone penetrometer resistance, index of soil compaction, and draft force. The system for measuring the soil cone penetrometer resistance is comprised of a load cell, connected to a rod, ending with a cone, and is mounted on a frame, fixed to the front part of a tractor. The system for measuring the draft force required to till the soil is comprised of a load cell, mounted on the hitch hook of a tool carrier, towed by the tractor. Moreover, in order to test the usefulness of the system with different …

Precision agricultureAgricultural and Biological Sciences (all)penetrometer soil compaction spatial variability precision agricultureSettore AGR/09 - Meccanica AgrariaVeterinary (all)Penetrometer; Precision agriculture; Soil compaction; Spatial variability; Agricultural and Biological Sciences (all); Veterinary (all)PenetrometerSoil compactionSpatial variability
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Spot spraying in oilseeds and protein crops

2019

International audience; Currently, spraying chemical products in agriculture became the main means of weed controlbecause this cultural practice is very fast, inexpensive and very effective. However, awarenessof their negative impacts (environment, human health) requires thinking about new technicaland agronomic solutions. New technologies are promising techniques for a site-specific weedmanagement through the development of localized spraying.Some sprayers (often small width) located on the row may be able to answer thoseexpectations but they are most often expensive. In this context, the objective of the project“PLEVOP” (development of spot sprayer in oilseed and protein crops), proposed …

[SPI]Engineering Sciences [physics]Precision agriculture[SPI] Engineering Sciences [physics][SDV]Life Sciences [q-bio]Protein crop[SDE]Environmental SciencesOilseed[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologySpraying
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On the use of unmanned aerial systems for environmental monitoring

2018

[EN] Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small-and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that li…

environmental_sciencesINGENIERIA HIDRAULICA010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologies02 engineering and technology01 natural sciencesRiver monitoringBridge (nautical)Field (computer science)Vegetation indicesRiver monitoringEnvironmental monitoringEnvironmental impact assessmentSatellite imageryNatural disasterWater content2. Zero hungerMoistureAgricultural ecosystemsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnvironmental monitoring04 agricultural and veterinary sciencesVegetationRemote sensingRemote sensing (archaeology)Vegetation indiceSystems engineeringUASEarth and Planetary Sciences (all)Context (language use)Leverage (statistics)EcosystemRemote sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesData collectionPrecision agriculturebusiness.industryWater resources13. Climate actionAgricultureITC-ISI-JOURNAL-ARTICLESoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGeneral Earth and Planetary SciencesPrecision agricultureSoil moisturebusinessITC-GOLDSettore ICAR/06 - Topografia E Cartografia
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Automatic analyzis of droplet impact by high speed imaging

2012

International audience; The impact of agricultural activities on the water quality is the consequence of the loss of fertilisers (chemical fertilisers, livestock effluent, also referred to as farm fertiliser, food-processing effluent and sludge) and crop treatment products (phytosanitary products). This pollution may prevent certain uses of water, notably its use for human and animal food (groundwater and surface water), and leads to a deterioration in aquatic environments. In the domain of vineyard precision spraying research, one of the most important objectives is to minimize the volume of phytosanitary products. It is also to be more environmentally respectful with more effective vine l…

high speed imaging;spraying application;weber number;active contoursprecision agriculture[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingimage processingactive contours[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingspraying application[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhigh speed imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingWeber number[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A decision support system based on multisensor data fusion for sustainable greenhouse management

2018

The sustainable exploitation of natural resources is nowadays an important challenge for governments and institutions, considering the expected increase of the world population. In order to respond to this emergent criticality, the principles of green economy have been introduced in the European policy discussion to achieve a good compromise between the sustainability and the profitability of productions by increasing the efficiency of farming operations. Such approach poses some technical and financial challenges for small-sized enterprises because they generally do not possess adequate internal knowledge, nor they can acquire external expertise due to their budget restrictions. Decision S…

Decision support systemStrategy and ManagementContext (language use)02 engineering and technologyIndustrial and Manufacturing EngineeringGreen economyContextual designSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringEconomicsDecision support systemGeneral Environmental ScienceGreen economyPrecision agricultureRenewable Energy Sustainability and the EnvironmentManagement scienceSettore AGR/09 - Meccanica AgrariaIntegrated pest management04 agricultural and veterinary sciencesSensor fusionRisk analysis (engineering)Sustainability040103 agronomy & agriculture0401 agriculture forestry and fisheries020201 artificial intelligence & image processingProfitability indexDecision fusionPrecision agricultureWireless sensor network
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A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems

2013

Abstract Leaf area index (LAI) is a key biophysical parameter for the monitoring of agroecosystems. Conventional two-band vegetation indices based on red and near-infrared relationships such as the normalized difference vegetation index (NDVI) are well known to suffer from saturation at moderate-to-high LAI values (3–5). To bypass this saturation effect, in this work a robust alternative has been proposed for the estimation of green LAI over a wide variety of crop types. By using data from European Space Agency (ESA) campaigns SPARC 2003 and 2004 (Barrax, Spain) experimental LAI values over 9 different crop types have been collected while at the same time spaceborne imagery have been acquir…

Spectral indexSoil ScienceRed edgeHyperspectral imagingSatellitePlant SciencePrecision agricultureVegetationLeaf area indexAgronomy and Crop ScienceNormalized Difference Vegetation IndexMathematicsRemote sensingEuropean Journal of Agronomy
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Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications

2014

Remote sensing is a key tool for precision agriculture applications as it is capable of capturing spatial and temporal variations in crop status. However, satellites often have an inadequate spatial resolution for precision agriculture applications. High-resolution Unmanned Aerial Vehicles (UAV) imagery can be obtained at flexible dates, but operational costs may limit the collection frequency. The current study utilizes data fusion to create a dataset which benefits from the temporal resolution of Formosat-2 imagery and the spatial resolution of UAV imagery with the purpose of monitoring crop growth in a potato field. The correlation of the Weighted Difference Vegetation Index (WDVI) from …

precision agricultureComputer sciencebusiness.industryUAVMultispectral imageHyperspectral imagingcomputer.software_genreSensor fusionPE&RCField (geography)Laboratory of Geo-information Science and Remote SensingWDVIunmixing-based data fusionTemporal resolutionComputer visionLaboratorium voor Geo-informatiekunde en Remote SensingArtificial intelligencePrecision agricultureSTARFMbusinesscomputerImage resolutionData integrationRemote sensing
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Robotics for weed control: I-Weed Robot for a specific spraying

2012

International audience; To preserve environment for a sustainable agriculture, we explore the development of a new autonomous robot, called I-Weed Robot (Intelligent Weed Robot), which aims at reducing herbicides in crop fields (maize, sunflower...). Using a high precision positioning signal (RTK) to locate the robot in the field, a Kaman filter and a proportional-integral-derivative controller (PID controller) allow adjusting the orientation of the robot depending on a predefined trajectory. As for the spraying system, a camera in front of the mobile platform detects weed plants thanks to an image processing based on a crop/weed discrimination algorithm (Hough Transform). At the back a spr…

[SDV] Life Sciences [q-bio]weed controlherbicidesPrecision agriculturespraying[SDV]Life Sciences [q-bio]robotsmachine visionWeedsalgorithms[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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