Estimating cabbage physical parameters using remote sensing technology

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Crop Protection

• Publication date

  Unknown publication date

• Fields of study

  Agricultural and Food Sciences, Biology, Environmental Science

• Identifiers
  DOI 10.1016/J.CROPRO.2007.04.015
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability

  2004cited by this paper
• Airborne Videography to Identify Spatial Plant Growth Variability for Grain Sorghum

  2004cited by this paper
• Relationships Between Yield Monitor Data and Airborne Multidate Multispectral Digital Imagery for Grain Sorghum

  2002cited by this paper
• Airborne multispectral imagery for mapping variable growing conditions and yields of cotton, grain sorghum, and corn

  2001influential reference
• Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics

  2000cited by this paper
• EFFICACY OF SOME BACILLUS THURINGIENSIS FORMULATIONS ON CABBAGE LOOPER AND DIAMONDBACK MOTH ON CABBAGE IN SOUTH TEXAS, SPRING 1999.

  2000cited by this paper
• RELATIONSHIPS BETWEEN REMOTELY SENSED REFLECTANCE DATA AND COTTON GROWTH AND YIELD

  2000cited by this paper
• Mapping grain sorghum growth and yield variations using airborne multispectral digital imagery.

  2000cited by this paper
• Assessing corn yield and nitrogen uptake variability with digitized aerial infrared photographs

  1997cited by this paper
• Use of a green channel in remote sensing of global vegetation from EOS- MODIS

  1996cited by this paper
• Photographic and videographic observations for determining and mapping the response of cotton to soil salinity

  1994cited by this paper
• Vegetation indices in crop assessments

  1991cited by this paper
• Estimating grain yield of maturing rice canopies using high spectral resolution reflectance measurements

  1991cited by this paper
• Use of spectral vegetation indices to infer leaf area, evapotranspiration and yield. I. Rationale.

  1990cited by this paper
• Composite Action Thresholds for the Control of Lepidopterous Pests on Fresh-market Cabbage in the Lower Rio Grande Valley of Texas

  1987cited by this paper
• Leaf Area, Light Interception, and Yield Estimates from Spectral Components Analysis1

  1984cited by this paper
• Relationship of spectral data to grain yield variation

  1980cited by this paper
• Red and photographic infrared linear combinations for monitoring vegetation

  1979cited by this paper
• Monitoring vegetation systems in the great plains with ERTS

  1973cited by this paper
• Crop surveys from multiband satellite photography using digital techniques

  1971cited by this paper
• Derivation of leaf-area index from quality of light on the forest floor

  1969cited by this paper
• A Clean Town Contest

  1915cited by this paper

• Multispectral images for estimating morphophysiological and nutritional parameters in cabbage seedlings

  2023cites this paper
• Examining the Optimal Amount of Moringa Leaf Extract to Improve the Morphological and Inner Quality of Cabbage (Brassica oleracea var. capitata)

  2023influential citation
• Applications of Advanced Geospatial Technology for Expansion of Area under Horticultural Crops in North Eastern Region of India

  2022cites this paper
• Sensing in Precision

  2021cites this paper
• Determining the Effects of Nanonutrient Application in Cabbage (Brassica oleracea var. capitate L.) Using Spectrometry and Biomass Estimation with UAV

  2021cites this paper
• Determination of application volume for coffee plantations using artificial neural networks and remote sensing

  2021cites this paper
• HIERARCHICAL CLASSIFICATION FOR ASSESSMENT OF HORTICULTURAL CROPS IN MIXED CROPPING PATTERN USING UAV-BORNE MULTI-SPECTRAL SENSOR

  2020cites this paper
• Use of terrestrial remote sensing to estimate soybeans and beans biophysical parameters

  2019influential citation
• Integrating Unmanned Aerial Systems Into the Crop Production System Through On-Farm Research

  2018cites this paper
• Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing

  2018cites this paper
• Potential applications of Unmanned Aerial Vehicle multispectral imagery in vegetables

  2016cites this paper
• Development of a framework for information acquisition and processing in cyber-physical systems

  2014cites this paper
• Potential applications of remote sensing in horticulture—A review

  2013cites this paper
• Digital Image Analysis to Supplement Direct Measures of Lettuce Biomass

  2012cites this paper
• Review: Sensing technologies for precision specialty crop production

  2010cites this paper
• ensing technologies for precision specialty crop production

  2010cites this paper
• An investigation into the detection of sugarcane African stalk borer (Eldana saccharina Walker (Lepidoptera : Pyralidae)) using hyperspectral data (spectroradiometry).

  2009cites this paper
• Evaluation of a proximal vision data acquisition system for measuring spatial variability in lettuce growth

  2008cites this paper