A survey of deep learning techniques for weed detection from images
The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …
localisation, and recognition of objects from images or videos. DL techniques are now being …
Deep Learning Techniques for Green on Green Weed Detection from Imagery
MS Hasan - 2024 - researchportal.murdoch.edu.au
Weed is a major problem faced by the agriculture and farming sector. Advanced imaging
and deep learning (DL) techniques have the potential to automate various tasks involved in …
and deep learning (DL) techniques have the potential to automate various tasks involved in …
Crop Sensing in Precision Agriculture
H Sun, M Li, Q Zhang - Soil and Crop Sensing for Precision Crop …, 2022 - Springer
Precision agriculture or precision farming is a scientific management strategy based on the
spatial and temporal variability of soil, crops, and the environment, and crop sensing is an …
spatial and temporal variability of soil, crops, and the environment, and crop sensing is an …
[PDF][PDF] Deep Learning Techniques for Green on
GWD from Imagery - 2024 - researchportal.murdoch.edu.au
Weed is a major problem faced by the agriculture and farming sector. Advanced imaging
and deep learning (DL) techniques have the potential to automate various tasks involved in …
and deep learning (DL) techniques have the potential to automate various tasks involved in …
WEED SPECIES IMAGE RECOGNITION USING DEEP LEARNING TECHNIQUE FOR SELECTIVE SPOT SPRAYING
Application of image processing recognition in the agricultural field is a difficult and intensive
task. Recent years developments of technologies such as GPUs (Graphics Processing …
task. Recent years developments of technologies such as GPUs (Graphics Processing …