Results 161 to 170 of about 522 (226)
ABSTRACT Cadmium (Cd2+) contamination in agricultural soils has been reported to pose risks to crop productivity, food safety, and human health. This review synthesizes current knowledge on the mechanisms by which essential (S, Zn, Fe, Mg, K, Ca) and beneficial (Si, Se, rare earth elements) elements mitigate Cd2+ toxicity in plants.
Maria Manzoor, Karl Hermann Mühling
wiley +1 more source
Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley +1 more source
Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7). [PDF]
Balabantaray A +6 more
europepmc +1 more source
ABSTRACT Climate change poses serious threats to food security by affecting agricultural production processes in multiple ways. This study aims to analyze land management–based solution strategies that can be developed in response to this threat and presents a systematic and holistic framework through the relationship these strategies establish with ...
Nihal Genc, H. Ebru Colak
wiley +1 more source
Optimization of pesticide spray parameters and analysis of key physiological indicators for control efficiency against jujube leaf black spot. [PDF]
Zhang RX, Hao JY, Xiao K, Liu P.
europepmc +1 more source
First 20 Years of Orbitrap Mass Spectrometry as the Mainstream Analytical Technique
ABSTRACT This review traces the first 20 years of Orbitrap mass spectrometry as a mainstream high‑resolution and accurate‑mass (HR/AM) technology. It outlines the historical development of the Orbitrap analyzer, the evolution of major instrument families, and the key technological innovations that enabled its widespread adoption. Particular emphasis is
Alexander Makarov
wiley +1 more source
Deep learning-based target spraying control of weeds in wheat fields at tillering stage. [PDF]
Wang H +6 more
europepmc +1 more source
ABSTRACT Top‐down proteomics (TDP) characterizes proteoforms in cells, tissues, and biofluids, in discovery mode and on a global scale, requiring analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection, given the extremely high proteoform complexity and wide proteoform concentration dynamic range.
Guijie Zhu +5 more
wiley +1 more source
Weed Segmentation in Soybean Fields and Variable-Rate Herbicide Prescription Map Generation Based on UAV Imagery and Improved YOLOv11-seg Model. [PDF]
Yue Y, Zhao A.
europepmc +1 more source
AI/ML Enabled High‐Throughput Design and Synthesis for Energetic Molecules
Novel design methods for a special kind of functional molecules — the energetic molecules—are summarized. Both classic Machine Learning (ML) and Artificial Intelligence (AI) generative models are utilized for the high‐throughput design of these energetic molecules, and a sort of high‐energy low‐sensitivity molecules are obtained.
Wen Qian
wiley +1 more source

