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4d_plant_analysis

A new method for the space-time registration of a growing plant based on matching the plant at different geometric scales. The proposed method starts with the creation of a topological skeleton of the plant at each time step. This skeleton is then used to segment the plant into its different organs, including its main stem, its branches, etc. Then the organs are further divided into smaller segments that possess simpler geometric structures, for instance, cylinders, rectangular. Those segments are matched between two time steps using a random forest classifier based on their topological and geometric features. Then, for each pair of segments matched, a point-wise registration is devised using a non-rigid registration method based on a local ICP (Iterative Closest Point) algorithm.

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

automated_plant_height_measurement

automatic-leaf-infection-identifier

Automatic detection of plant diseases

autopiirrigator

Plant Watering System based on raspberry pi zero w, intended to provide an ease of automatic irrigation control at agricultural lands ( in farm lands ,etc. ) or even at your own home ( in gardens , seed plots ,etc. )

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

canopy_height

plant height extractor science functions

ccspredictor

coda

Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data

collaborative-learning-for-weakly-supervised-object-detection

deep-learning

:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割

deeplatentmicrobiome

digital-plant-phenotyping-platform

In silico plant phenotyping environment

explainableforestmapping

Explainable deep learning method for forest mapping using aerial imagery

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph_peak_caller

ChIP-seq peak caller for reads mapped to a graph-based reference genome

hsm6ap

image-based-plant-phenotyping-using-reduced-parameter-cnn.

Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN.

image-processing-from-scratch

This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.

imageprocessing-python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

landsat-lai

Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS

leaf_count_iccvw-2017

leafarea

Project for Research Methodology in Computing

leafmask

lssvm

Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).

m6abrp

A machine learning-based model for predicting YTHDF2 binding regions in mRNAs via sequence-based properties

ml_gzh

常用机器学习算法的简单手写实现，帮助更好理解算法

phenotyping

Web-based image labeling framework useful for gathering plant phenotype labels.

plant-height-detection-using-contour-operations

A program that uses color segmentation and contour operations to determine the height of plants. This model can be used in greenhouses to identify the height of plants at any point in time.

remote-sensing-image-classification

深度学习图像分类的入门教程