Tread softly: A new 'light touch' way to detect kauri dieback

Kauri dieback is one of the most serious threats facing Aotearoa New Zealand's kauri forests. The disease is caused by a soil ...
IEEE

Detecting Anomalies for corn crop disease using Isolation forest

Abstract: Today, the most challenging issue for researchers is to continue their research for crop disease using deep learning and image processing. One of the crucial detection methods used in ...
Frontiers

Intelligent image analysis recognizes important orchid viral diseases

Phalaenopsis orchids are one of the most important exporting commodities for Taiwan. Most orchids are planted and grown in greenhouses. Early detection of orchid diseases is crucially valuable to ...
PNAS

Efficient control of western flower thrips by plastid-mediated RNA interference

Thrips are a group of piercing-sucking pest insects that do massive damage in agriculture and horticulture. The western flower thrip is a particularly notorious pest that has spread all over the world ...
IEEE

Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing

Abstract: Corn is one of major crops in Indonesia. Diseases outbreak could significantly reduce the maize production, causing millions of rupiah in damages. To reduce the risks of crop failure due to ...
Frontiers

Using Deep Learning for Image-Based Plant Disease Detection

Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of ...
PNAS

Brassinosteroid control of sex determination in maize

Edited by Sarah Hake, University of California, Berkeley, CA, and approved October 21, 2011 (received for review May 25, 2011) Here, we report the genetic and molecular analysis of a ts mutant that is ...