Results 51 to 60 of about 2,537,738 (252)
D5.2 Demonstration of enhanced 3D segmentation for weeding: Deliverable of the ROMI project
, 2020 This deliverable describes the work done on the 3D imaging framework. This framework was intendedto be used both for indoor plant precision scanning and for the weeding application, by transferring ourdevelopment for plant trait measurement to weed ...
Hanappe, Peter +2 more
core +5 more sources
Weeding a Periodical Collection in the Academic Environment: A Case Study [PDF]
, 2006 There are some very good reasons for weeding serial collections in an academic environment: keeping the collection current and/or appropriate to the primary needs of the teaching and research in the institution; preservation or conservation purposes; or,
Massey, Tinker
core +1 more source
Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming [PDF]
IEEE Robotics and Automation Letters, 2018 Reducing the use of agrochemicals is an important component toward sustainable agriculture. Robots that can perform targeted weed control offer the potential to contribute to this goal, for example, through specialized weeding actions such as selective ...
Philipp Lottes +3 more
semanticscholar +1 more source
Robotic weeding of a maize field based on navigation data of the tractor that performed the seeding (Preprint) [PDF]
, 2010 This research presents robotic weeding of a maize field based on navigation data of the tractor that performed the seeding. The availability of tractors equipped with RTK-DGPS based automatic guidance potentially enables robots to perform subsequent ...
Bakker, T. +3 more
core +1 more source
Advanced Science, EarlyView.This study reveals that long non‐coding RNAs represent important regulatory components underlying pear domestication and improvement. Integrative multi‐omics analyses identify selected lncRNAs associated with fruit traits, while functional validation uncovers a lignin‐related lncRNA, lncRNA‐pys, that promotes lignin accumulation.
Bobo Song +9 more
wiley +1 more source
Design of field real-time target spraying system based on improved YOLOv5
Frontiers in Plant Science, 2022 Deep learning techniques have made great progress in the field of target detection in recent years, making it possible to accurately identify plants in complex environments in agricultural fields.
He Li +8 more
doaj +1 more source
EFFICIENCY OF USING SELF-PROPELLED SPRINKLER EQUIPPED WITH THE SYSTEM OF AUTOMATIC GUIDING [PDF]
Volga Region Farmland, 2020 Precision agriculture reduces the cost for fertilizers, seeds, plant protection products, and petrol, oil, and lubricants by an average of 20%. Currently, the market of the Republic of Kazakhstan also offers various elements of precision agriculture ...
Yu.V. Polishchuk +2 more
doaj +1 more source
Advanced Science, EarlyView.Polymer‐based hydrogels have emerged as promising materials for atmospheric water harvesting (AWH) due to their high water affinity, tunable network structure, and excellent moisture adsorption‐desorption performance. Functional hydrogel systems enable efficient water capture and controlled release under low‐energy conditions, offering a sustainable ...
Swagata Datta +6 more
wiley +1 more source
Prospects and limitations for agricultural engineering in the development of sustainable weed control methods – examples from European research [PDF]
, 2002 This paper gives a brief review of the major achievements in European research on physical weed control methods for agricultural and horticultural crops. Most of the work has emerged from an increasing awareness and concern about pesticide consumption in
Heisel, Scientist Torben +1 more
core +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source