Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review
Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it...
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ftdoajarticles:oai:doaj.org/article:66208ed43c854f5f8faface0daa11394 2023-05-15T15:59:28+02:00 Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review Joel O. Paz Gerrit Hoogenboom Sudhanshu Sekhar Panda 2010-08-01T00:00:00Z https://doi.org/10.3390/rs2081973 https://doaj.org/article/66208ed43c854f5f8faface0daa11394 EN eng MDPI AG http://www.mdpi.com/2072-4292/2/8/1973/ https://doaj.org/toc/2072-4292 doi:10.3390/rs2081973 2072-4292 https://doaj.org/article/66208ed43c854f5f8faface0daa11394 Remote Sensing, Vol 2, Iss 8, Pp 1973-1997 (2010) site-specific management orchards land-use land cover geospatial technology geographic information system remote sensing chill hour high value crops Science Q article 2010 ftdoajarticles https://doi.org/10.3390/rs2081973 2022-12-31T16:11:59Z Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS spatial model is developed using various crop characteristics such as chilling hours, soil permeability, drainage, and pH, and land cover to determine the best sites for growing blueberry in Georgia, U.S. The study also provides a list of spectral reflectance curves developed for some fruit and nut crops, blueberry, crowberry, redblush citrus, orange, prickly pear, and peach. The study also explains these curves in detail to help researchers choose the image platform, sensor, and spectrum wavelength for various fruit and nut crops SSCM. Article in Journal/Newspaper Crowberry Directory of Open Access Journals: DOAJ Articles Remote Sensing 2 8 1973 1997 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
site-specific management orchards land-use land cover geospatial technology geographic information system remote sensing chill hour high value crops Science Q |
spellingShingle |
site-specific management orchards land-use land cover geospatial technology geographic information system remote sensing chill hour high value crops Science Q Joel O. Paz Gerrit Hoogenboom Sudhanshu Sekhar Panda Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
topic_facet |
site-specific management orchards land-use land cover geospatial technology geographic information system remote sensing chill hour high value crops Science Q |
description |
Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS spatial model is developed using various crop characteristics such as chilling hours, soil permeability, drainage, and pH, and land cover to determine the best sites for growing blueberry in Georgia, U.S. The study also provides a list of spectral reflectance curves developed for some fruit and nut crops, blueberry, crowberry, redblush citrus, orange, prickly pear, and peach. The study also explains these curves in detail to help researchers choose the image platform, sensor, and spectrum wavelength for various fruit and nut crops SSCM. |
format |
Article in Journal/Newspaper |
author |
Joel O. Paz Gerrit Hoogenboom Sudhanshu Sekhar Panda |
author_facet |
Joel O. Paz Gerrit Hoogenboom Sudhanshu Sekhar Panda |
author_sort |
Joel O. Paz |
title |
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
title_short |
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
title_full |
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
title_fullStr |
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
title_full_unstemmed |
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review |
title_sort |
remote sensing and geospatial technological applications for site-specific management of fruit and nut crops: a review |
publisher |
MDPI AG |
publishDate |
2010 |
url |
https://doi.org/10.3390/rs2081973 https://doaj.org/article/66208ed43c854f5f8faface0daa11394 |
genre |
Crowberry |
genre_facet |
Crowberry |
op_source |
Remote Sensing, Vol 2, Iss 8, Pp 1973-1997 (2010) |
op_relation |
http://www.mdpi.com/2072-4292/2/8/1973/ https://doaj.org/toc/2072-4292 doi:10.3390/rs2081973 2072-4292 https://doaj.org/article/66208ed43c854f5f8faface0daa11394 |
op_doi |
https://doi.org/10.3390/rs2081973 |
container_title |
Remote Sensing |
container_volume |
2 |
container_issue |
8 |
container_start_page |
1973 |
op_container_end_page |
1997 |
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1766395425271578624 |