Predicting the spread of postharvest disease in stored fruit, with application to apples

By M. Dutot, L. Nelson, R. Tyson. 2013

95 citations recorded by the source corpus.

Subfields: Cell Biology, Insect Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/46c843c8441393861ae9606252fd8b1e4571dcc5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cell Biology

1. Yuehan Chen
2. Chunquan Liang
3. Peng Jiang
4. Dongjian He
5. Bin Liu
6. J. G. Arnal Barbedo

In Plant Science

1. Yuehan Chen
2. Chunquan Liang
3. Peng Jiang
4. Dongjian He
5. Bin Liu
6. J. G. Arnal Barbedo

Citations in the corpus

• Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks (2019, background): “However, there is a risk for error due to subjective perception [1].”
• Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks (2017, background): “Traditionally, plant disease severity is scored with visual inspection of plant tissues by trained experts [1], which leads to expensive cost and low efficiency.”