Results 141 to 150 of about 551,473 (269)

Monarch sprayer

, 2005
Monarch sprayer manufactured in the United States, ca. 1930-1965.

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How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

Advancements and prospects in key technologies for robotic pollination in greenhouse pepper breeding: a review. [PDF]

Front Plant Sci
Kuang M, Li X, Xie F, Zou X, Xiang Y, Zhang Y, Liu D, Zou X, Li X.   +8 more
europepmc   +1 more source

Intelligent vehicle initiative human factors strategy

This document focuses on human factors research that supports the Intelligent Vehicle Initiative (IVI). The status of the problem areas within categories used often by the human factors community to organize human factors process is discussed.
Mitretek Systems. Center for Telecommunications and Advanced Technology, Ference, Jack   +1 more
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Monarch Sprayer

, 1965
This Monarch sprayer was used to spray liquid insecticide for home and garden uses. It measures 4" diameter x 16.5" (10 cm diameter x 41 cm)

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FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Multi-objective optimization of low-cost high-pressure glasshouse atomization: High-speed imaging mechanism for targeted droplet uniformity, environmental sustainability, and whitefly control. [PDF]

Pest Manag Sci
Yu Z, Guo J, Wang H, Quan C, Deng H, Asikaibaike K, Wongsuk S, He X, Sun H.   +8 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

A sustainable crop protection through integrated technologies: UAV-based detection, real-time pesticide mixing, and adaptive spraying. [PDF]

Sci Rep
Li W, Luo Y, Jiang P, Dong X, Tang K, Liang Z, Shi Y.   +6 more
europepmc   +1 more source

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source