基于改进EfficientDet 的油橄榄果实成熟度检测.
陈锋军， 张新伟， 朱学岩， 李志强… - Transactions of the …, 2022 - search.ebscohost.com
自然环境下自动准确地检测油橄榄果实的成熟度是实现油橄榄果实自动化采摘的基础.
该研究根据成熟期油橄榄果实表型特征的变化以及参考国际油橄榄理事会和中国林业行业标准 …
该研究根据成熟期油橄榄果实表型特征的变化以及参考国际油橄榄理事会和中国林业行业标准 …
Application of neural network method for road crack detection
The study presents a road pavement crack detection system by extracting picture features
then classifying them based on image features. The applied feature extraction method is the …
then classifying them based on image features. The applied feature extraction method is the …
[PDF][PDF] Optimization of neural network using Nelder Mead in breast cancer classification
Classification is one of the data mining techniques which considered as supervised
learning. Classification technique such as Backpropagation Neural Network (BPNN) has …
learning. Classification technique such as Backpropagation Neural Network (BPNN) has …
Investigating the relationship between strawberry maturity and glossiness on the surface during storage through digital image analysis
R Takemoto, T Watanabe, N Nakamura… - Journal of Food …, 2024 - Springer
This study aimed to classify the maturity of strawberries and evaluate its impact on surface
glossiness during storage using digital images. Five hundred images of strawberries were …
glossiness during storage using digital images. Five hundred images of strawberries were …
Detection of Corn Leaves Nutrient Deficiency Using Support Vector Machine (SVM)
Like other plants in general, corns are also requiring nutrients for their life. Nitrogen,
phosphorus, and potassium are at least three main nutrients that all plants always need …
phosphorus, and potassium are at least three main nutrients that all plants always need …