Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
[HTML][HTML] Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
Front-line remote sensing tools, coupled with machine learning (ML), have a significant role
in crop monitoring and disease surveillance. Crop type classification and a disease early …
in crop monitoring and disease surveillance. Crop type classification and a disease early …
Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches
Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …
Detection of white leaf disease in sugarcane using machine learning techniques over UAV multispectral images
Sugarcane white leaf phytoplasma (white leaf disease) in sugarcane crops is caused by a
phytoplasma transmitted by leafhopper vectors. White leaf disease (WLD) occurs …
phytoplasma transmitted by leafhopper vectors. White leaf disease (WLD) occurs …
A review on UAV-based applications for plant disease detection and monitoring
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …
resource management, and environmentally friendly practices. Recent advances in remote …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
[HTML][HTML] Towards a semantic structure for classifying IoT agriculture sensor datasets: An approach based on machine learning and web semantic technologies
With the increase in the number of IoT farming datasets, it has become so difficult to identify
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …
Towards robust registration of heterogeneous multispectral UAV imagery: A two-stage approach for cotton leaf lesion grading
Multiple source images acquired from diverse sensors mounted on unmanned aerial
vehicles (UAVs) offer valuable complementary information for ground vegetation analysis …
vehicles (UAVs) offer valuable complementary information for ground vegetation analysis …
UAV-based remote sensing in orcha-forest environment; diversity of research, used platforms and sensors
N Bagheri, J Kafashan - Remote Sensing Applications: Society and …, 2023 - Elsevier
Forests and orchards are not only vital for the nature as the lungs of the earth but also crucial
as a source of food production. In these fields, so-called Oracha-forest could mainly benefit …
as a source of food production. In these fields, so-called Oracha-forest could mainly benefit …