Pinned Repositories
2019-iflytek-competition-Alzheimer-s-disease-prediction
2019科大讯飞 阿尔茨海默综合症预测挑战赛baseline
2019-iflytek-competition-app-classification-labeling
2019大数据应用分类标注挑战赛 baseline
2019-iflytek-competition-app-classification-labeling-top8
2019科大讯飞开发者大赛——大数据应用分类标注挑战赛top8_solution
2019Baai-zhihu-Cup-findexp-4th
2019年知乎看山杯第四名
AD8232_Heart_Rate_Monitor
AD8232 Heart Rate Monitor
Advertising-algorithm-competition
2018 腾讯广告算法大赛/IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek
Agricultural-Disease-Classification
AIchallenger2018 Agricultural-Disease 农作物病害检测
AgriculturalDiseaseClassification
Some time ago, I participated in a competition. Although the result was not very good, I learned a lot.
CarbonChallenge
Files and data for UMN Extension's Tree and Woodland Carbon Capture Challenge.
demo-for-aliyun-plant-api
阿里云市场智能植物识别(含花卉与杂草)API的调用示例代码(https://market.aliyun.com/products/57124001/cmapi018620.html#sku=yuncode1262000000)
EdwardPeng19's Repositories
EdwardPeng19/Geodjango
Agricultural monitoring of crop diseases and pests
EdwardPeng19/Crop-Disease-Detection
AI Challenger 2018 农作物病害检测
EdwardPeng19/FinancialKnowledgeGraph
基于知识图谱的金融资讯推荐
EdwardPeng19/Using-AI-to-Detect-Diseases-in-Tomato-Plant
Theme of Project- AI in agriculture ; Purpose- Our purpose is to use AI to help us in detecting the various kinds of diseases found in the tomato plant, and then work on finding further solution to the problem. Tech Stack Used- LeNet-5, a pioneering 7-level convolutional network by LeCun et al in 1998, was used to train our model which is based on Tensorflow and Keras frameworks, OpenCV python library was used for image processing part ; Advantages- It will be very helpful for farmers as it will provide an inexpensive way of taking proper care of there plants.