Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source
Towards enhancing the performance of crop prediction system for precision agriculture using feature correlation square-based nearest neighbor classifier. [PDF]
Kindra K +2 more
europepmc +1 more source
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Smart IoT-driven precision agriculture: Enhancing macro and micro nutrition efficiency and sustainability in modern agriculture and greenhouses. [PDF]
Pelekamoyo J +7 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
YOLO-based deep learning framework for real-time multi-class plant health monitoring in precision agriculture. [PDF]
Rana A, Vaidya P.
europepmc +1 more source
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Deep learning-based phenotyping of lettuce diseases using Efficient-FBM-FRMNet for precision agriculture. [PDF]
Nasra P +8 more
europepmc +1 more source
A central molecular adaptor, ZSL, is identified that links transverse filaments ZYP1 to central element SCEP1/2 to drive synaptonemal complex assembly in Brassica napus. Loss of ZSL abolishes synaptonemal complex formation, disrupts meiotic chromosome segregation, and markedly increases crossovers, providing mechanistic insight into meiotic fidelity ...
Miaowei Geng +16 more
wiley +1 more source
MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research. [PDF]
Preanto SA, Paul T, Khan A, Bijoy MHI.
europepmc +1 more source

