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Precision agriculture was born with the introduction of GPS guidance for tractors in the early 1990s, and the adoption of this technology is now so widespread globally that it’s probably the most commonly-used example of precision …
precision farming practices were also captured by estimating yield differences and associated net revenue gains. A precision farming congress which has been presented by the North-West University's Potchefstroom campus for the past few years, took place on 22 April 2016.
Featuring four fully customizable imagers, the multispectral Quad Sensor is a precision agriculture, data-collection powerhouse. It is important that growers and advisers apply a structured and objective approach to assessing PA opportunities. endobj
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�����k����s�D?(? Additionally, the results are extrapolated to larger farm sizes. Land tenure system, smaller farm size, and crop diversity have limited the scope of precision farming in India. %PDF-1.5
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x��ۊd��}`���,�!�!{����!������{[�&�!����H�����Z���������?~X�鴼8/�z~"+q�m�-dQ��zc�o?? Precision farming uses information based farm management for optimum profitability, sustainability and resource utilization. The required information for Precision farming is obtained with the help of technologies like geographic information system (GIS), Global Positioning System (GPS), remote sensing (RS) , etc.
A duration analysisA collective framework to assess the adoption of precision agriculture in France: description and preliminary results after two yearsHow does European adoption of precision agriculture compare to worldwide trends?Collection of agricultural data and evaluation of their usefulness for farm management in Australian cropping and red meat industriesEvaluating the potential benefits of field-specific nitrogen management of spring maize in northeast ChinaCombining crop modelling and remote sensing to create yield maps for management zone delineation in small scale farming systemsOperating Farmer Innovation Groups (FIGs) for testing yield enhancing ideas using on-farm experimentationImproving yield mapping accuracy using remote sensingModel validation of the dynamics of a no-till seeding assembly with a magneto-rheological damper systemVariation across scales indicates that best progress in crop yields should come from farmer-centric researchSite-specific treatment responses in on-farm precision experimentationEasy water stress detection system for vineyard irrigation managementA model for precision irrigation scheduling of soybeans for the South-eastern U.S.Automated irrigation scheduling for drip-irrigated plum trees.Drone dataflow - a MATLAB toolbox for extracting plots from images captured by a UAVA multi-disciplinary approach for the precision management of lodging riskExtending the CERES-Beet model to simulate leaf disease in sugar beetUser needs for decision support functionalities in future crop protection softwareAutomated mixed-scale data fusion for mapping of within-field variation in a national decision support system - the example of pH correctionNear-real time winter wheat N uptake from a combination of proximal and remote optical measurements: how to refine Sentinel-2 satellite images for use in a precision agriculture decision support systemMaize yield prediction based on artificial intelligence using spatio-temporal data Optimizing durum wheat cultivation in Northern Italy: assessing proximal and remote sensing derived from different platforms for variable-rate application of nitrogenIntegrating geospatial tools and a crop simulation model to understand spatial and temporal variability of cereals in ScotlandComparing satellite and high-resolution visible and thermal aerial imaging of field crops for precision irrigation management and plant biomass forecastIdentifying yield stability and drivers of yield variability in cotton using multi-layered, whole-farm datasetsPrecision spraying by combining a variable rate application map with an on/off mapUnderstanding intra-field variation in N requirement for oilseed rapeEvaluation of a functional Bayesian method to analyse time series data in precision viticultureProduction gap analysis - an operational approach to yield gap analysis using historical high-resolution yield data setsAgriculture and digital sustainability: a Digitization FootprintUsing the WOFOST crop growth model to assess within-field yield variabilityEmpowering farmers by resolving the trust and legal issues emerging from precision farming3D point clouds from UAV imagery for precise plant protection in fruit orchardsCalculating the water deficit spatially using LiDAR laser scanner in an apple orchardComparison of water potential and yield parameters under uniform and variable rate drip irrigation in a cabernet sauvignon vineyardUse of an integrated model of water consumption as a decision support system for scheduling regulated deficit irrigation in a vineyardDeep learning for in-field image-based grapevine downy mildew identificationMonitoring site-specific spraying in vineyards from a prescription map obtained with a UAVInvestigation on LiDAR-based indicators for predicting agrochemical deposition within a vine fieldMissing plant detection and biomass estimation from 3D models generated from UAV in a vineyardCombining target sampling with route-optimization to optimise yield estimation in viticultureAssessment of grapevine yield and quality using a canopy spectral index in white grape varietyAssessment of vineyard trimming and leaf removal using UAV photogrammetryOn-board colour imaging for the detection of downy mildewImage-based assessment of hyperspectral reflectance characteristics of plants in the field: Lessons LearnedImplications of dose-response relationships of herbicide droplet applications for leaf-specific weed control in leeksExploring the factors affecting spatio-temporal variation in grapevine powdery mildewMarrying futuristic weed mapping with current herbicide sprayer capacitiesUse of simulations to study herbicide site-specific sprayingDesign of a portable sensor suite for real-time monitoring of crop water stress index in maize breeding plotsCharacterisation of fungal diseases on winter wheat crop using proximal and remote multispectral imagingAssessing infield temporal and spatial variability of leaf water potential using satellite imagery and meteorological dataCharacterisation of cereal morphology through proximal stereo vision under contrasting nitrogen inputsEarly detection of corn and sunflower stress induced by chemical sprayingHyperspectral imaging application under field conditions: assessment of the spatio-temporal variability of grape composition within a vineyardPotential of optical sensors for nitrogen management in spring barleyDisentangling the sources of chlorophyll-content variability in banana fieldsSentinel-2 vegetation indices and apparent electrical conductivity to predict barley (Accessing the plant architecture in 3D for plant phenotyping - recent approaches and requirementsVegetation indices from remote sensing imagery as proxies for yield and grain N in wheatUsing terrestrial photogrammetry for leaf area estimation in maize under different plant growth stagesProximal versus remote sensing to monitor pasture quality in a Mediterranean Montado ecosystemInvestigation of spraying efficiency of an aerial spraying system in a super-high density olive grove in GreeceUAV-based hyperspectral imaging for weed discrimination in maizeA precision viticulture UAV-based approach for early yield prediction in vineyardEstimating melon yield for breeding processes by machine-vision processing of UAV imagesEstimation of the leaf area index in maize based on UAV imagery using deep learning techniquesA UAV-based system for monitoring crop growth in wheat, barley and triticale phenotyping field trialsThe application of structure from motion techniques in late-season corn damageA multispectral processing chain for chlorophyll content assessment in banana fields by UAV imageryDeveloping crop canopy model for irrigation of high-density olive groves by using UAV imageryAssessing spatial and temporal variability in evapotranspiration for olive orchards in Tunisia using satellite remote sensingAccuracy of crop coefficient estimation methods based on satellite imageryCan time series of multispectral satellite images be used to estimate stem water potential in vineyards?Interaction between soil variability and maize nitrogen status assessment from Sentinel-2Adopting precision agriculture to improve the cultivation of old wheat varieties in Tuscany (Italy)A cotton yield estimation model based on agrometeorological and high resolution remote sensing dataCan satellite-derived vigour maps be used to delineate homogeneous zones in hedgerow olive orchards?Estimating cotton water requirements using Sentinel-2: model development and validationSatellite-based detection of sowing dates in field cropsCost-effectiveness and performance of optical satellites constellation for Precision AgricultureCrop imaging and soil adjusted variable rate nitrogen application in winter wheatUsing yield monitor data to guide precision nitrogen applicationIntegrated approach for site-specific nitrogen management in North Dakota, USADividing the risk - theoretical exploration of increasing N management temporal granularity in maizeCreating soil texture maps for precision liming using electrical resistivity and gamma ray mappingEffect of variable rate phosphorus and nitrogen fertilizing on winter wheat (Precision nitrogen and water management for maize production in the western great plains of the USStatistical model to overcome rice variety effect in precision fertilisationAssessing sampling strategies and soil sensors performance in the detection of field scale variability of plant-available nitrogenSatellite-based modelling of protein content in winter wheat and malting barleyYield sensing technologies for horticultural crops: a short reviewPreliminary study for weed biomass prediction combining visible images with a plant-growth modelUsing remote sensing to map in-field variability of peanut maturityDelineation of management zones in an agrosylvopastoral ecosystem based on the Rasch modelAccurate segmentation of grass-sward structures in RGB images using machine learning algorithmsLong-term evaluation of the Grassmaster II probe to estimate productivity of pasturesSpecies distribution mapping of grass clover leys using images for targeted nitrogen fertilizationEvaluating and improving soil sensor-based variable irrigation scheduling on farmers' fields in AlabamaArtificial neural networks for irrigation management: a case study from southern Alabama, USAUsing computational optics for agricultural monitoring with an emphasis on irrigation management zonesA variable rate irrigation decision support system for corn in the US eastern coastal plainUse of soil electrical conductivity mapping in variable rate irrigationModeling spatio-temporal variations in crop water stress for variable-rate irrigationComparison of precision and conventional irrigation management of cottonA geophysical and spectrometric sensor data fusion approach for homogeneous within-field zone delineationWheat yield forecast using contextual spatial informationSpatial analysis of mycotoxins in stored grain to develop more precise management strategiesAn iterative region growing algorithm to generate fuzzy management zones within fieldsInvestigating the harmonization of highly noisy heterogeneous datasets hand-collected over the same study domainCan mapping of within-vineyard variability be facilitated using data from multiple vineyards?Assessing the spatial variability of winter wheat yield in large-scale paddy fields of Japan using structural equation modellingOverfitting a convolutional neural network to support annotations of weedsHybrid topological location and mapping for autonomous agricultural robotsDetermination of a field boundary using ISO 11783 and D-GNSS data acquired during a ploughing operationProof-of-concept modular robot platform for cauliflower harvestingDeep learning-based image segmentation for grape bunch detectionSoft manipulator robot for selective tomato harvestingAnalysis of historical auto-steering position data for optimising headland turning timeThe economic value of on-farm precision experimentationThe emerging structure of the U.S. precision agriculture industryFinancial and environmental performance of integrated precision farming systemsHow quickly do farmers adopt technology?
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