Pinecones are an important forest product that are often harvested manually. Automated
pinecone detection and harvesting might increase the yield and resolve the problem of labor …

Pine wilt disease (PWD) has recently caused substantial pine tree losses in Republic of
Korea. PWD is considered a severe problem due to the importance of pine trees to Korean …

Timely and accurate identification of tea tree pests is critical for effective tea tree pest control.
We collected image data sets of eight common tea tree pests to accurately represent the true …

The detection and location of dead trees are extremely important for the management and
estimating naturalness of the forests, and timely replanting of dead trees can effectively …

Deep learning has achieved certain results in the field of wood surface defect detection. To
address the problems of low accuracy of the detection results of surface defects on boards …

The coconut palm plantation industry relies heavily on expert advice to identify and treat
infections. Computer vision in deep learning technology opened up an avenue in the …

Traditional pest detection methods are challenging to use in complex forestry environments
due to their low accuracy and speed. To address this issue, this paper proposes the …

Apple tree diseases have perplexed orchard farmers for several years. At present, numerous
studies have investigated deep learning for fruit and vegetable crop disease detection …

Highlights•A method for recognizing diseased Pinus trees is presented by using UAV
images.•A DCGAN model is used to expand the training samples for solving overfitting.•A …

Background: In view of the existence of light shadow, branches occlusion, and leaves
overlapping conditions in the real natural environment, problems such as slow detection …