Meet a scientist tracking invasive reptiles, and even their parasites

An insider's look at Florida’s war on invaders: the giant snakes, egg-eating predators and parasites spreading through the ...

‘Translates into lives saved’: New program at Boston University uses AI to track global diseases

A program at Boston University is changing how public health officials and the general public access timely information to ...
IEEE

Smart Agriculture: Harnessing Machine Learning for Plant Disease Detection

Abstract: Diseases affect plants in a devastating manner, which poses a big threat to the agricultural sector since the losses are economic each year. Such diseases are more devastating if left ...
Nature

Banana Leaves Imagery Dataset

In this work, we present a dataset of banana leaf imagery, both with and without diseases. The dataset consists of 11,767 images, categorized as follows: 3,339 healthy images, 3,496 images of leaves ...
IEEE

Performance Juxtapose of Plant Leaf Disease Detection using Adaptive Deep Convolutional Recurrent Neural Network (ADCRNN) in MATLAB Versus Python

Abstract: Leaf diseases can cause several detriments in crops' overall yield and fertility. While analyzing the various diseases that affect plants is imperative, identifying the diseases using ...
Time

Fighting Florida's Invasive Python Problem One Step at a Time

Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings A before and after shot of a python’s skin and P448’s shoes. Despite miles ...
GitHub

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

One of the important field of AI in agriculture is the disease detection in plants. Having a disease in plants are quite usual and if proper care is not taken in this area then it can cause serious ...
Frontiers

Maize disease detection based on spectral recovery from RGB images

Maize is susceptible to infect pest disease, and early disease detection is key to preventing the reduction of maize yields. The raw data used for plant disease detection are commonly RGB images and ...
GitHub

Plant Disease Detection with Keras and FastAPI

In this project, a neural network model was built using Tensorflow. The model detects if a plant is suffering from a disease(Rust or Powdery Mildew). The model was ...
Frontiers

Sorghum Panicle Detection and Counting Using Unmanned Aerial System Images and Deep Learning

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...
Scientific Research Publishing

Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village ()

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
Nature

Genetic Diversity in Stomatal Density among Soybeans Elucidated Using High-throughput Technique Based on an Algorithm for Object Detection

Crop yield can depend largely on the cumulative rate of photosynthesis throughout the growth period 1. It is significant to determine the key factor in enhancing the leaf photosynthesis because an ...