Precision Agriculture View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1999

PUBLISHER

Springer US

LANGUAGE

en

HOMEPAGE

https://link.springer.com/journal/11119

Recent publications latest 20 shown

  • 2022-07-27 Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning
  • 2022-07-26 Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region
  • 2022-07-14 A coupled atomization-spray drift model as online support tool for boom spray applications
  • 2022-07-09 Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model
  • 2022-07-06 Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications
  • 2022-07-02 Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms
  • 2022-07-02 Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures
  • 2022-07-01 How can precision farming work on a small scale? A systematic literature review
  • 2022-06-25 A comparison of precision and conventional irrigation in corn production in Southeast Alabama
  • 2022-06-21 Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture
  • 2022-06-21 Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland?
  • 2022-06-15 A novel sampling design considering the local heterogeneity of soil for farm field-level mapping with multiple soil properties
  • 2022-06-15 Canopy defoliation by leaf-cutting ants in eucalyptus plantations inferred by unsupervised machine learning applied to remote sensing
  • 2022-06-15 Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes
  • 2022-06-15 Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico
  • 2022-06-15 Evaluation of rapeseed flowering dynamics for different genotypes with UAV platform and machine learning algorithm
  • 2022-06-15 A novel plant disease prediction model based on thermal images using modified deep convolutional neural network
  • 2022-06-14 The need for streamlining precision agriculture data in Africa
  • 2022-06-09 The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction
  • 2022-06-03 Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring
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    The International Society of Precision Agriculture (https://www.ispag.org/ ) adopted the following definition of precision agriculture in 2019:

    \u00a0\u2018Precision agriculture is a management strategy that gathers, processes and analyzes temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.\u2019

    Topics that are addressed in the journal include:

    • Within-field natural resources variability, including soil and crop variability and characteristics
    • Managing variability, including sampling techniques and methods, nutrient and crop protection chemicals recommendation and crop quality
    • Engineering technology, focusing on sensor systems, computational techniques, positioning systems and control systems for site-specific application
    • Adoption and economics of precision agriculture management
    • Environmental coverage including sediments, leaching, runoff and drainage related to within-field spatial variability.

    Precision Agriculture:

    • Presents the most innovative results emerging from research in the field
    • Provides an effective forum for disseminating original and fundamental research and experience in this rapidly advancing field
    • Submissions are encouraged on measurement, management, technology and impact of spatial variability at the within-field scale
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