sharmaroshan / Weed-Detection
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
☆19Updated 5 years ago
Alternatives and similar repositories for Weed-Detection:
Users that are interested in Weed-Detection are comparing it to the libraries listed below
- we made the crop and weed detection model using YOLOV3 on agricultural image data.☆115Updated last year
- Prediction of Crop Yield for farmers based on weather, satellite data☆56Updated 6 years ago
- As the increase in the world population the demand of the rice is also increases. In order to increase the growth of rice in the rice cro…☆33Updated 3 years ago
- Prediction of crop yields using machine learning.☆60Updated last year
- A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produc…☆71Updated last year
- Using U-Net Model to Detect Wildfire from Satellite Imagery☆77Updated last year
- Crop yield prediction based on temperature and rainfall for India☆15Updated 5 years ago
- Weed Mapping in Aerial Images through Identification and Segmentation of Crop Rows and Weeds using Convolutional Neural Networks☆46Updated 5 years ago
- A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.☆13Updated 3 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 2 years ago
- ☆56Updated 5 years ago
- Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍☆22Updated 5 years ago
- e-farmerce aims to solve the problem of Automated Crop Identification using Satellite Imagery and Deep Learning.☆17Updated 6 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆60Updated 3 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆16Updated 5 years ago
- Understanding crop yield predictions from CNNs as our final project for CS231N☆37Updated 7 years ago
- Advancement of UAV, deep Learning and cutting edged technologies and papers in Precision Agriculture.☆126Updated 4 years ago
- Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training☆166Updated 2 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆85Updated last year
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 2 years ago
- The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor …☆65Updated 7 years ago
- Satellite Imagery preprocessing for object detection☆13Updated 6 years ago
- ☆52Updated last year
- Land Cover Change Detection using Satellite Image Segmentation.☆49Updated 2 months ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 6 years ago
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆24Updated last year
- Automatic detection of plant diseases☆265Updated last year
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆94Updated 3 years ago
- ☆15Updated 2 years ago
- ☆15Updated 2 years ago