Search results for "Crop yield"

showing 10 items of 81 documents

2020

AbstractForecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, water availability and other environmental conditions influence crop growth, development, and final grain yield in a complex nonlinear manner. Machine learning (ML) techniques, and deep learning (DL) methods in particular, can account for such nonlinear relations between yield and its covariates. However, they typically lack transparency and interpretability, since the…

2. Zero hunger0106 biological sciencesFood security010504 meteorology & atmospheric sciencesRenewable Energy Sustainability and the Environmentbusiness.industryDeep learningCrop yieldPublic Health Environmental and Occupational HealthAgricultural engineering15. Life on land01 natural sciences13. Climate actionRemote sensing (archaeology)Environmental scienceArtificial intelligencebusiness010606 plant biology & botany0105 earth and related environmental sciencesGeneral Environmental ScienceEnvironmental Research Letters
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Crop Yield Estimation and Interpretability With Gaussian Processes

2021

This work introduces the use of Gaussian processes (GPs) for the estimation and understanding of crop development and yield using multisensor satellite observations and meteo- rological data. The proposed methodology combines synergistic information on canopy greenness, biomass, soil, and plant water content from optical and microwave sensors with the atmospheric variables typically measured at meteorological stations. A com- posite covariance is used in the GP model to account for varying scales, nonstationary, and nonlinear processes. The GP model reports noticeable gains in terms of accuracy with respect to other machine learning approaches for the estimation of corn, wheat, and soybean …

2. Zero hungerEstimation010504 meteorology & atmospheric sciencesCrop yieldProductivitat agrícola0207 environmental engineeringProcessos estocàstics02 engineering and technology15. Life on landGeotechnical Engineering and Engineering Geology01 natural sciencessymbols.namesake13. Climate actionStatisticssymbolsElectrical and Electronic Engineering020701 environmental engineeringGaussian process0105 earth and related environmental sciencesMathematicsInterpretabilityIEEE Geoscience and Remote Sensing Letters
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Microclimat, eau et production

1990

It is generally known that the whole of climatic factors affects directly the principal biological functions and the processes influencing crop yield. However, the control of these factors remains very difficult. Research is carried out adapting different crops to the average daily climatic characteristics and to their seasonal evolution instead of modifying the crops genetically and physiologically. Since all times the control of the factor water, not from rainfall but from irrigation, gives possibilities to modify directly the characteristics of the microclimate in the plant canopy.

2. Zero hungerIrrigation010504 meteorology & atmospheric sciences010505 oceanographyCrop yieldFACTEUR CLIMAT[SDV]Life Sciences [q-bio]fungiMicroclimatefood and beverages15. Life on land01 natural sciences[SDV] Life Sciences [q-bio]AgronomyEnvironmental sciencePlant canopyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level

2020

In the next future, climate change effects will represent a challenge for Europe and the Mediterranean area. These will have to cope with a rapid increase in climate variability. Although many economic sectors may be affected, agriculture is the most susceptible as climate heavily affects crop production trends, yield variability and the availability of areas suitable for cultivation. Using the stochastic frontier approach, the aim of this work is to analyse the impacts of climate variability on Italian regional technical efficiency in the agricultural sector for a period spanning from 2000 to 2009. Considering that technical inefficiency could be influenced by two main annual meteorologica…

Agricultural sector Climate change Climate variability Italian regions technical efficiency Stochastic frontier approachEconomics and EconometricsSociology and Political Sciencebusiness.industryYield (finance)Crop yieldEconomic sector05 social sciencesClimate change0506 political scienceStochastic frontier analysisWork (electrical)Agriculture0502 economics and business050602 political science & public administrationEnvironmental sciencePhysical geography050207 economicsInefficiencybusinessFinanceEconomia Politica
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Monsoon Multidisciplinary Analysis (AMMA) : an integrated project for understanding of the West African climate system and its human dimension

2011

International audience; The intraseasonal time scale is critical in West Africa where resources are highly rainfall dependent. Three main modes of variability have been identified, two with a mean periodicity of 15 days and one with a mean periodicity around 40 days. These modes have a regional scale and can strongly influence precipitation and convective activity. They are mainly controlled by atmospheric dynamics and land-surface interactions. They can also modulate the very specific phase of the African summer monsoon onset. A better knowledge of the mechanisms controlling this scale is necessary to improve its predictability.

Atmospheric Science010504 meteorology & atmospheric sciences0207 environmental engineering02 engineering and technology[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/MeteorologyIntraseasonal variabilityMonsoonAtmospheric sciences01 natural sciencesWest africaWest African monsoonpredictabilityMonsoon onsetmonsoon onsetCrop yieldPrecipitationPredictability020701 environmental engineering0105 earth and related environmental sciencesintraseasonal variability[ SDU.STU.ME ] Sciences of the Universe [physics]/Earth Sciences/Meteorologycrop yieldScale (music)PredictabilityWest african13. Climate actionClimatologyEnvironmental scienceAtmospheric dynamics
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Industrial Symbiosis through the Use of Biosolids as Fertilizer in Romanian Agriculture

2021

Biosolids’ use in agriculture is an example of industrial symbiosis. The application of biosolids (BS) in agriculture is considered one of the most sustainable sewage sludge (SS) management options, but the quality of biosolids has to meet certain requirements regarding the characteristics of the sludge, those of the land and of the type of crop. Web of Science database has been used to search for the relevant literature. The review of studies undertaken in order to determine the economic effects of the use of biosolids in agriculture shows, in the majority, an increase in crop yield and the reduction in costs, due to the reduction in the requirements for the application of chemical or synt…

BiosolidsRomaniabusiness.industryCrop yieldbiosolids (BS)Sewagecrop yieldManagement Monitoring Policy and Lawengineering.materialfertilizerEnvironmental sciencesCropEnvironmental protectionAgricultureIndustrial symbiosisengineeringEnvironmental scienceGE1-350General Materials ScienceFertilizerbusinessindustrial symbiosis (IS)Waste Management and DisposalSludgesewage sludge (SS)Recycling
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Evaluation of Small Vase and Y-trellis Orchard Systems for Peach and Nectarine Production in Mediterranean Regions

2015

Two peach planting systems, Small Vase (SV) and Y-trellis (Y), were evaluated and compared in the Mediterranean settings of Southern Italy. The two orchards were located next to each other on relatively uniform soil and terrain, and the observations included two peach (‘Rich May’ and ‘Summer Rich’) and two nectarine (‘Big Bang’ and ‘Nectaross’) cultivars. In the SV system, trees were spaced at 4.5 A— 2.5 m (888 trees/ha), whereas in the Y system, trees were spaced at 5.5 A— 2 m (909 trees/ha) and no canopy gap was left between rows. Yield per tree; fruit size grade; unit price of sold peaches for each size grade; materials, labor and associated costs for cultural management;…

CanopyCrop yieldfixed costs fruit size management labor profit Prunus persica training system yieldYield gapSowingTrellis (architecture)HorticultureSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticultureYield (wine)CultivarOrchardMathematics
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L-band vegetation optical depth seasonal metrics for crop yield assessment

2018

Attenuation of surface microwave emission due to the overlying vegetation is proportional to the density of the canopy and to its water content. The vegetation optical depth (VOD) parameter measures this attenuation. VOD could be a valuable source of information on agroecosystems, especially at lower frequencies for which greater portion of the vegetation canopy contributes to the observed brightness temperature. In the past, visible-infrared indices have been used to provide yield estimates based on measuring the photosynthetic activity from the surface canopy layer. These indices are affected by clouds and apply only in the presence of solar illumination. In this study we instead use the …

CanopyTeledetecció010504 meteorology & atmospheric sciencesYield (finance)0211 other engineering and technologiesSoil Science02 engineering and technologyradiometryAtmospheric sciencesSMAPA01 natural sciencesStandard deviationopticalCrop yieldComputers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetationCrop yieldMicrowave radiometerGeologyVegetation:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]Remote sensinggroecosystemsdepthL-bandPrincipal component analysisSpatial ecologyEnvironmental science
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Effect of summer pruning on some fruit quality traits in Hayward kiwifruit

2013

Introduction . The aim of our study was to analyze the effect of various levels of light availability in the fruit microenvironment (induced by summer pruning) on some fruit quality traits. Materials and methods . Two levels of summer pruning were set: removal of either 30% or 60% of the canopy leaf area. These treatments were compared with the control (unpruned vines). Two canopy layers (upper and lower) were identified in each treatment and in the control vines. At harvest, yield per cane and per shoot was recorded in the two canopy layers; fruit fresh weight, flesh firmness, total soluble solid content and total titratable acidity were measured. Fruit Total Antioxidant Capacity (TAC) and…

Canopydefoliationantioxidantleaf area indexActinidia deliciosaFleshCrop yieldfungifood and beveragesTitratable acidfruitHorticultureBiologySettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticulturecultivationqualityYield (wine)ShootBotanyLeaf area indexAgronomy and Crop SciencePruningpolyphenolsFood Science
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Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI

2016

Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield. Frequently, plant canopy analyzers (LAI-2000) and digital cameras for hemispherical photography (DHP) are used for indirect effective plant area index (PAI(eff)) estimates. Nevertheless, these instruments are expensive and have the disadvantages of low portability and maintenance. Recently, a smartphone app called PocketLAI was presented and tested for acquiring PAI(eff) measurements. It was used during an entire rice season for indirect PAI(eff) estimations and for deriving reference high-resolution PAI(eff) maps. Ground PAI(eff) value…

Chlorophyll contenteffective plant area index (PAI(eff))010504 meteorology & atmospheric sciencesHemispherical photographyeffective plant area index (PAIeff)Science0211 other engineering and technologiesPocketLAIPlant area index02 engineering and technologyrice; effective plant area index (PAI<sub><i>eff</i></sub>); PocketLAI; smartphone; high-resolution mapsmartphonehigh-resolution map01 natural sciencesparasitic diseasesLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing2. Zero hungerPhenologyCrop yieldriceQCiències de la terrafood and beverages15. Life on landSmartphone appGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteRemote Sensing
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