Results 131 to 140 of about 367,959 (309)
Root morphology and uptake capacity are increasingly investigated as indicators of crop performance, yet their characterization remains challenging in laboratory.
Sen Li +4 more
doaj +1 more source
Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck +12 more
wiley +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Soil erosion and deposition are critical processes affecting soil quality and crop productivity, particularly in hilly agricultural regions. Topsoil removal reduces soil fertility and degrades root development, threatening sustainable crop production ...
Jingyu Zhang +7 more
doaj +1 more source
Experiments with soil morphological characteristics as a didactic resource for soil teaching
Soil is a finite natural resource that provides important ecosystem services for societies, such as food production and water purification. Formed by minerals, organic matter, water and air. It is fundamental for the maintenance of terrestrial ecosystems. Due to its importance, soil education should provide a theoretical and practical basis that allows
Campos, Jean Oliveira +3 more
openaire +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Soil aeration improves tomato fruit yield by regulating root characteristics and soil nitrogen cycle
Soil aeration plays a critical role in regulating root development and soil nutrient dynamics, which are essential for optimizing tomato fruit yield.
Xinyu Nie +4 more
doaj +1 more source
Abstract Premise We examined the African arid corridor (AAC) disjunction pattern of vascular plants between northeastern and southwestern Africa in the context of geological and climatic events since the late Miocene. We developed a phylogenetic and biogeographical framework for the arid‐adapted genus Sesamothamnus (Pedaliaceae), a classic example of ...
John G. Zaborsky +6 more
wiley +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source

