Results 41 to 50 of about 4,302,724 (316)

Comparison of plant proximal sensing approaches for nitrogen supply detection in crops

Agronomy Journal, Volume 114, Issue 6, Page 3317-3328, November/December 2022., 2022
Abstract Nondestructive proximal sensors can be an efficient source of information of N status in crops for localized and rapid adjustment of fertilization applications. The aim of this study was to compare two transmittance/reflectance‐based sensors (SPAD, ASD) and a florescence‐based sensor (Multiplex) in their ability to measure N content in corn ...
Pablo Rosso, Evelyn Wallor, Lars Richter, Marc Wehrhan   +3 more
wiley   +1 more source

Modification of Symmetric Cryptography with Combining Affine Chiper and Caesar Chiper which Dynamic Nature in Matrix of Chiper Transposition by Applying Flow Pattern in the Planting Rice [PDF]

Advances in Science, Technology and Engineering Systems Journal (ASTESJ), Adv. Sci. Technol. Eng. Syst. J. 2(5), 1-5 (2017), 2017
Classical cryptography is a way of disguising the news done by the people when there was no computer. The goal is to protect information by way of encoding. This paper describesa modification of classical algorithms to make cryptanalis difficult to steal undisclosed messages. There are three types of classical algorithms that are combined affine chiper,
arxiv   +1 more source

Patients' Global Impression of Change (PGIC) Score Compared to Monthly Migraine Days to Evaluate Treatment Persistence With Anti‐CGRP Monoclonal Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This study assessed whether continued treatment with anti‐CGRP monoclonal antibodies (mAbs) is driven more by reductions in monthly migraine days (MMDs) or patients' global impression of change (PGIC), a patient‐reported outcome. Among 169 patients treated with anti‐CGRP mAbs, 21.3% discontinued due to ineffectiveness. PGIC responders (≥ 5) at
Marina Romozzi, Catello Vollono, Paolo Calabresi, Francesco De Cesaris, Luigi Francesco Iannone   +4 more
wiley   +1 more source

Profit‐maximizing potassium fertilizer recommendations for corn and cotton

Agronomy Journal, Volume 114, Issue 6, Page 3358-3376, November/December 2022., 2022
Abstract Whereas K fertilization is necessary to maximize corn (Zea mays L.) and cotton (Gossypium hirsutum L.) yields in soils with sub‐optimum K availability, maximizing yield is rarely profit‐maximizing. Estimating the tradeoff between yield and fertilizer cost using current soil‐building and/or yield‐maximizing rate recommendations vs.
Kimberly Oliver, Michael P. Popp, Nathan A. Slaton, Gerson Laerson Drescher, Trenton L. Roberts   +4 more
wiley   +1 more source

Increasing Leaf Vein Density via Mutagenesis in Rice Results in an Enhanced Rate of Photosynthesis, Smaller Cell Sizes and Can Reduce Interveinal Mesophyll Cell Number

Frontiers in Plant Science, 2017
Improvements to leaf photosynthetic rates of crops can be achieved by targeted manipulation of individual component processes, such as the activity and properties of RuBisCO or photoprotection.
Aryo B. Feldman, Hei Leung, Marietta Baraoidan, Abigail Elmido-Mabilangan, Irma Canicosa, William P. Quick, William P. Quick, John Sheehy, Erik H. Murchie   +8 more
doaj   +1 more source

Identification and Recognition of Rice Diseases and Pests Using Convolutional Neural Networks [PDF]

, 2018
An accurate and timely detection of diseases and pests in rice plants can help farmers in applying timely treatment on the plants and thereby can reduce the economic losses substantially. Recent developments in deep learning based convolutional neural networks (CNN) have greatly improved the image classification accuracy. Being motivated by the success
arxiv   +1 more source

Identifying Stress Responsive Genes using Overlapping Communities in Co-expression Networks [PDF]

, 2020
This paper proposes a workflow to identify genes that respond to specific treatments in plants. The workflow takes as input the RNA sequencing read counts and phenotypical data of different genotypes, measured under control and treatment conditions. It outputs a reduced group of genes marked as relevant for treatment response. Technically, the proposed
arxiv   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

Advanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong, Zhangbin Ji, Luke Haworth, Yihao Guo, Jaime del Moral, Stefan Jacob, Ana Borras, Agustin R. Gonzalez‐Elipe, Jikai Zhang, Jian Zhou, Glen McHale, Yong‐Qing Fu   +11 more
wiley   +1 more source

Staying alive or going to die during terminal senescence– An enigma surrounding yield stability

Frontiers in Plant Science, 2015
Breeding programs with the aim to enhance yield productivity under abiotic stress conditions during the reproductive stage of crops is a top priority in the era of climate change.
Krishna S.V. Jagadish, Polavarapu eKavi Kishor, Rajeev eBahuguna, Nicolaus evon Wirén, Nese eSreenivasulu   +4 more
doaj   +1 more source

A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network [PDF]

arXiv, 2020
A disease that limits a plant from its maximal capacity is defined as plant disease. From the perspective of agriculture, diagnosing plant disease is crucial, as diseases often limit plants' production capacity. However, manual approaches to recognize plant diseases are often temporal, challenging, and time-consuming.
arxiv