Advances in optical phenoty** of cereal crops
Optical sensors and sensing-based phenoty** techniques have become mainstream
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey
Artificial intelligence (AI) has emerged as a fundamental component of global agricultural
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …
Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenoty** and advanced plant analysis
Understanding the growth and development of individual plants is of central importance in
modern agriculture, crop breeding, and crop science. To this end, using 3D data for plant …
modern agriculture, crop breeding, and crop science. To this end, using 3D data for plant …
The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin–antitoxin and related phage defense systems
Toxin-antitoxin (TA) systems are a large group of small genetic modules found in
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …
Building an aerial–ground robotics system for precision farming: an adaptable solution
The application of autonomous robots in agriculture is gaining increasing popularity thanks
to the high impact it may have on food security, sustainability, resource-use efficiency …
to the high impact it may have on food security, sustainability, resource-use efficiency …
PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …
Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture
Introducing machine vision-based automation to the agricultural sector is essential to meet
the food demand of a rapidly growing population. Furthermore, extensive labor and time are …
the food demand of a rapidly growing population. Furthermore, extensive labor and time are …
Machine learning for plant stress modeling: A perspective towards hormesis management
Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …
food production. However, plant stress may also be profitable since it behaves hormetically; …
How to make sense of 3D representations for plant phenoty**: a compendium of processing and analysis techniques
Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenoty** is following this trend. However, despite its potential, the …
approach, and plant phenoty** is following this trend. However, despite its potential, the …
Resources for image-based high-throughput phenoty** in crops and data sharing challenges
High-throughput phenoty** (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …