Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
A review of assessing the accuracy of classifications of remotely sensed data
RG Congalton - Remote sensing of environment, 1991 - Elsevier
This paper reviews the necessary considerations and available techniques for assessing the
accuracy of remotely sensed data. Included in this review are the classification system, the …
accuracy of remotely sensed data. Included in this review are the classification system, the …
Principal component analysis
Principal component analysis of a data matrix extracts the dominant patterns in the matrix in
terms of a complementary set of score and loading plots. It is the responsibility of the data …
terms of a complementary set of score and loading plots. It is the responsibility of the data …
[BOOK][B] Assessing the accuracy of remotely sensed data: principles and practices
RG Congalton, K Green - 2019 - taylorfrancis.com
The past 10 years have brought amazing changes to the technologies used to turn remotely
sensed data into maps. As a result, the principles and practices necessary for assessing the …
sensed data into maps. As a result, the principles and practices necessary for assessing the …
[BOOK][B] Principles of geographical information systems
PA Burrough, RA McDonnell, CD Lloyd - 2015 - books.google.com
Geographical data are used in so many aspects of our lives today, ranging from disaster
relief operations through to finding directions on our mobile phones. We can all be data …
relief operations through to finding directions on our mobile phones. We can all be data …
Status of land cover classification accuracy assessment
GM Foody - Remote sensing of environment, 2002 - Elsevier
The production of thematic maps, such as those depicting land cover, using an image
classification is one of the most common applications of remote sensing. Considerable …
classification is one of the most common applications of remote sensing. Considerable …
[HTML][HTML] Accuracy assessment of land use/land cover classification using remote sensing and GIS
Remote sensing is one of the tool which is very important for the production of Land use and
land cover maps through a process called image classification. For the image classification …
land cover maps through a process called image classification. For the image classification …
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenoty**
AK Mahlein - Plant disease, 2016 - Am Phytopath Society
Early and accurate detection and diagnosis of plant diseases are key factors in plant
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
On digital soil map**
We review various recent approaches to making digital soil maps based on geographic
information systems (GIS) data layers, note some commonalities and propose a generic …
information systems (GIS) data layers, note some commonalities and propose a generic …