3篇
您的检索式：作者名="Ayushi Gupta"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 解锁奇妙夜 哈里亚纳Unlocked Cafe显示文摘Unlocked Cafe位于印度古尔冈市新近改建的32号大道旁,设计师从原始的建筑解构中汲取灵感,为餐厅营造了一个充满体积感的和隔而不断的奇妙空间。从推门进入的瞬间,人们就能感受到Unlocked Cafe的独特风格,其融合了餐厅和密室逃脱等功能的空间,为食客们营造丰富的体验。这是一个充满不确定性的空间,遍布的几何图形为传统印度建筑增添了一抹现代气息。那些形态不一却规则、连续的图形,搭配温暖且充满活力的色彩。 | 小麦(编译) 无 Sanjay Arora Vandana Arora Virender Singh Akarsh Varma Jagdish Bangari Aayush Misra Prarthna Misra Tanushi Goyal Navdisha Kukreja Ayushi Gupta Niveditaa Gupta(摄影) | 2020 | 室内设计与装修2020，，7： | 0 |
| 2 | 啪嗒啪嗒 孟买Opium眼镜品牌零售店显示文摘该项目是位于印度孟买国际机场2号航站楼里的Opium眼镜品牌零售店。设计师以象征时间和空间的网格为背景,以独特而大胆的设计理念表现了Opium高端而充满活力的品牌精神。设计师认为在零售空间中,展示方式在很大程度上决定了消费者对空间的印象,进而影响对品牌的认知。 | 无 Sa njay Arora(设计) San chit Arora(设计) Vandana Arora(设计) Virender Singh(设计) Akarsh Varma(设计) Jagdish Bangari(设计) Aayush Misra(设计) Prarthna Misra(设计) Tanushi Goyal(设计) Navdisha Kukreja(设计) Ayushi Gupta(设计) Anushka Arora(设计) Niveditaa Gupta(摄) | 2020 | 室内设计与装修2020，，8： | 0 |
| 3 | Spray Prediction Model for Aonla Rust Disease Using Machine Learning显示文摘Disease prediction in plants has acquired much attention in recent years.Meteorological factors such as:temperature,relative humidity,rainfall,sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the plant.On the other hand,if the factors are inadequate,they may also support the growth of a disease in the plants.The current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather parameters.Fifteen different models are tested for spray prediction on conducive days.Two resampling techniques,random over sampling(ROS)and synthetic minority oversampling technique(SMOTE)have been used to balance the dataset and five different classifiers:support vector machine(SVM),logistic regression(LR),k-nearest neighbor(kNN),decision tree(DT)and random forest(RF)have been used to classify a particular day based on weather conditions as conducive or non-conducive.The classifiers are then evaluated based on four performance metrics:accuracy,precision,recall and F1-score.The results indicate that for imbalanced dataset,kNN is appropriate with high precision and recall values.Considering both balanced and imbalanced dataset models,the proposed model SMOTE-RF performs best among all models with 94.6%accuracy and can be used in a real time application for spray prediction.Hence,timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop. | Hemant Kumar Singh Bhanu Pratap S.K.Maheshwari Ayushi Gupta Anuradha Chug Amit Prakash Singh Dinesh Singh | 2023 | Journal of Agricultural Science and Technology(B)2023，13，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员