PP-YOLO: Deep learning based detection model to detect apple and cherry trees in orchard based on Histogram and Wavelet preprocessing techniques

This publication has 27 references indexed in Scilit:

• Detection of Fusarium head blight in wheat using UAV remote sensing based on parallel channel space attention
  Computers and Electronics in Agriculture, 2024
• YOLO-SF: YOLO for Fire Segmentation Detection
  IEEE Access, 2023
• Enhancing wheat Fusarium head blight detection using rotation Yolo wheat detection network and simple spatial attention network
  Computers and Electronics in Agriculture, 2023
• A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings
  Computers and Electronics in Agriculture, 2022
• Confidence interval for micro-averaged F1 and macro-averaged F1 scores
  Applied Intelligence, 2021
• Range-restricted pixel difference global histogram equalization for infrared image contrast enhancement
  Optical Review, 2021
• Soil biota from newly established orchards are more beneficial to early growth of cherry trees than biota from older orchards
  Applied Soil Ecology, 2020
• Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting
  Biosystems Engineering, 2020
• Controlling Over Enhancement of Images Using Histogram Equalization Technique
  IOP Conference Series: Materials Science and Engineering, 2020
• Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
  IEEE Access, 2020