Images in the zip file are collected over a commercial banana farm of King Fruits International Co., Ltd., Thailand. The images are collected from DJI Phantom3 UAV, from 40, 50 and 60 meter flight altitude.<br
In this paper, we propose an original deep learning framework for the automated counting and geoloca...
Crop monitoring is crucial to understand crop production changes, agronomic practice decision-suppor...
In Tanzania, smallholder farmers contribute significantly to banana production and Kagera, Mbeya, an...
The production of banana-one of the highly consumed fruits-is highly affected due to loss of certain...
Dataset for the paper: Plant detection and counting from high-resolution RGB images acquired from UA...
The Machine Learning techniques in precision agriculture offer new prospects for the monitoring and ...
Precision agriculture principles appeared in the early 1980s as field management techniques in order...
Front-line remote sensing tools, coupled with machine learning (ML), have a significant role in crop...
Bananas are the world’s most popular fruit and an important staple food source. Recent outbreaks of ...
Unmanned Aerial vehicles (UAV) are a promising technology for smart farming related applications. Ae...
White leaf disease (WLD) is an economically significant disease in the sugarcane industry. This work...
Banana (and plantain, Musa spp.), in sub-Saharan Africa (SSA), is predominantly grown as a mixed cro...
Trabajo presentado en el XV Congreso Nacional de la Asociación Española de Ecología Terrestre (El va...
In this paper, UAV (unmanned aerial vehicle, DJI Phantom4RTK) and YOLOv4 (You Only Look Once) target...
In this paper, a near-infrared image of a banana plantation was taken from an unmanned aerial vehicl...
In this paper, we propose an original deep learning framework for the automated counting and geoloca...
Crop monitoring is crucial to understand crop production changes, agronomic practice decision-suppor...
In Tanzania, smallholder farmers contribute significantly to banana production and Kagera, Mbeya, an...
The production of banana-one of the highly consumed fruits-is highly affected due to loss of certain...
Dataset for the paper: Plant detection and counting from high-resolution RGB images acquired from UA...
The Machine Learning techniques in precision agriculture offer new prospects for the monitoring and ...
Precision agriculture principles appeared in the early 1980s as field management techniques in order...
Front-line remote sensing tools, coupled with machine learning (ML), have a significant role in crop...
Bananas are the world’s most popular fruit and an important staple food source. Recent outbreaks of ...
Unmanned Aerial vehicles (UAV) are a promising technology for smart farming related applications. Ae...
White leaf disease (WLD) is an economically significant disease in the sugarcane industry. This work...
Banana (and plantain, Musa spp.), in sub-Saharan Africa (SSA), is predominantly grown as a mixed cro...
Trabajo presentado en el XV Congreso Nacional de la Asociación Española de Ecología Terrestre (El va...
In this paper, UAV (unmanned aerial vehicle, DJI Phantom4RTK) and YOLOv4 (You Only Look Once) target...
In this paper, a near-infrared image of a banana plantation was taken from an unmanned aerial vehicl...
In this paper, we propose an original deep learning framework for the automated counting and geoloca...
Crop monitoring is crucial to understand crop production changes, agronomic practice decision-suppor...
In Tanzania, smallholder farmers contribute significantly to banana production and Kagera, Mbeya, an...
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