Yield estimation in cotton using UAV-based multi-sensor imagery
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …
image sensors were evaluated.•Data were registered based on image features.•Methods …
Plant counting of cotton from UAS imagery using deep learning-based object detection framework
Assessing plant population of cotton is important to make replanting decisions in low plant
density areas, prone to yielding penalties. Since the measurement of plant population in the …
density areas, prone to yielding penalties. Since the measurement of plant population in the …
A convolutional neural network-based method for corn stand counting in the field
Accurate corn stand count in the field at early season is of great interest to corn breeders
and plant geneticists. However, the commonly used manual counting method is time …
and plant geneticists. However, the commonly used manual counting method is time …
Developing an image processing pipeline to improve the position accuracy of single UAV images
Unmanned aerial vehicle (UAV) based remote sensing has been extensively used in
precision agriculture applications, such as vegetation growth and health monitoring, yield …
precision agriculture applications, such as vegetation growth and health monitoring, yield …
Testing the Agreement Between a Traditional and UAV-Based Method for Quantifying Skips in Suboptimal Cotton Stands
Highlights Agreement in the mean difference between the traditional and the UAV-based
method only occurred in poor stands. Effects of different sampling sizes between methods …
method only occurred in poor stands. Effects of different sampling sizes between methods …