I am a very new researcher in science and technology. Currently doing some research using machine learning, deep learning. I have publish one research in Agriculture Engineering using deep learning and my thirst is growing. That's why I am looking for collaboration with someone to start work more advance and want to design a virtual research lab. Here anyone can join as a research collaborator just contact me on my email Mail: [email protected]
Address: Shandong University of Technology, Zibo, China
Wechat: Haq1133
Detecting pest attacks on maize crops using different object detection models can be an effective approach. Here are some techniques that can be used:
To implement these techniques for pest detection in maize crops, you would need labeled training data consisting of images with annotated pests. The training data can be used to train the object detection models using frameworks such as TensorFlow, PyTorch, or Keras. After training, the models can be deployed to detect and localize pests in new images of maize crops.
It's worth mentioning that selecting the most appropriate object detection model depends on factors such as the size and quality of the available dataset, computational resources, and specific requirements of the pest detection task. Experimentation and evaluation of different models would help determine the most effective approach for detecting pest attacks on maize crops.
Good morning
we are only monitoring the physical variables, we have not developed a model for the detection of pests
- Badges
- Science topic