Automation of plant care processes based on machine vision technology

2021 ◽  
pp. 151-160
Author(s):  
A.A. Kiryanov ◽  
S.B. Benevolensky ◽  
I.K. Belchenko
Keyword(s):  
Data Collection ◽  
Weather Conditions ◽  
Adverse Weather Conditions ◽  
Mechanical Removal ◽  
Care Processes ◽  
Data Collection And Analysis ◽  
Adverse Weather ◽  
Open Ground ◽  
Processing Information ◽  
Manual Weeding

This paper presents the results of developments for a robotic agrotechnical complex capable of performing work in the open ground and in greenhouse conditions. Algorithmic solutions and the developed software in the development under consideration include separate blocks that implement the necessary functional options for data collection and analysis of the mineral and biological composition of the soil substrate, its humidity, electrical conductivity and temperature, for data collection and analysis of crop morbidity and vegetation progress. The software and hardware complex using a mobile self-propelled base with sufficient controls and sensors allows processing information on the targeted application of fertilizers and preparations, mechanical removal of weed flora, including in adverse weather conditions, when the introduction of drugs is not feasible, and manual weeding is economically and physically impossible.

REVIEW OF TRAFFIC DATA COLLECTION METHODS FOR DRIVERS’ CAR – FOLLOWING BEHAVIOUR UNDER VARIOUS WEATHER CONDITIONS

2016 ◽  
Vol 78 (4) ◽  
Author(s):  
Mey Shariff ◽  
Othman Che Puan ◽  
Nordiana Mashros
Keyword(s):  
Data Collection ◽  
Driving Simulator ◽  
Weather Conditions ◽  
Traffic Data ◽  
Car Following ◽  
Advantages And Disadvantages ◽  
Adverse Weather Conditions ◽  
Traffic Data Collection ◽  
Comparative Review ◽  
Adverse Weather

Adverse weather conditions have considerable impact on traffic operation and safety as it affects drivers’ car-following behaviour. However, the quality of traffic data and its related methodologies to address these effects are under continuous enhancement. This paper intends to provide an overview of various empirical traffic data collection methodologies widely used to investigate drivers car-following behaviour under various weather conditions. These methodologies include video cameras, pneumatic tubes, floating car data, instrumented vehicle and driving simulator. Moreover, the advantages and disadvantages related to methodologies have been discussed with emphasis on their suitability to work under adverse weather conditions. Furthermore, conclusion also comprises on table format of comparative review of facilities concerned with the methodologies.  

scholarly journals On the biology of different samples of wild ramson onions in the conditions of the Bashkir Cis-Urals

2021 ◽  
Vol 206 (03) ◽  
pp. 67-73
Author(s):  
Lenvera Tuhvatullina ◽  
Oleg Zhigunov
Keyword(s):  
Research Work ◽  
Weather Conditions ◽  
Botanical Garden ◽  
Early Summer ◽  
Forest Steppe ◽  
Northern Forest ◽  
Pests And Diseases ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Open Ground

Abstract. The purpose is to study the phenology, morphometry, reproductive biology, and propagation characteristics of the following species and samples of wild ramson onion: A. microdictyon Prokh. (Bashkir sample), A. victorialis L. (Moscow and Syktyvkar samples), A. ursinum L. (Moscow sample), A. ochotense Prokh. (Syktyvkar and Irkutsk samples). Methods. The study of wild ramson samples was carried out in 2016-2020 under the conditions of the culture in the South-Ural Botanical garden-institute of the UFRC RAS (Bashkir Cis-Urals, northern forest-steppe). The study of the seasonal rhythm of growth and development was carried out according to the method of phenological observations by I. N. Beideman and I. V. Borisova. Determination of winter hardiness and resistance to adverse weather conditions, pests and diseases, reproduction coefficient and seed productivity was carried out according to generally accepted recommendations. Results. According to the phenorhythmotype, the studied species are short-growing, spring-early-summer flowering. A. ursinum – ephemeroid, A. microdictyon, A. ochotense and A. victorialis – hemi-ephemeroid. The flowering phase occurs in late May-early June. The duration of flowering of wild ramson samples by year is 13-22 days. Seed maturation occurs in July. A. ursinum vegetation ends in July, the remaining samples-in August. The largest number of fruits and seeds are allocated samples of A. victorialis and A. microdictyon, the smallest – A. ursinum. Samples of A. microdictyon, A. ursinum and A. victorialis have a high percentage of fruit blooming. The weight of 1000 seeds of A. microdictyon is 3.6 g, A. ursinum – 5.9 g, A. victorialis – 6.3–6.7 g, A. ochotense – 7.9–8.5 g. Wild ramson seeds when sown in the open ground do not germinate in the same year: autumn sowing sprouts in 17–18 months, spring – in a year. To accelerate germination, it is recommended to stratify seeds for 2.5–3 months at a temperature of 0–3 °C. Scientific novelty. Research work on the study of wild ramson onions in the region of the Bashkir Cis-Urals has not yet been carried out. These species of onions have a wide resource value, which was caused by the high relevance of these studies.

Effective Range Assessment of Lidar Imaging Systems for Autonomous Vehicles Under Adverse Weather Conditions with Stationary Vehicles

2021 ◽  
Author(s):  
Jamil Abdo ◽  
Spencer Hamblin ◽  
Genshe Chen
Keyword(s):  
Data Collection ◽  
Technology Implementation ◽  
Autonomous Vehicles ◽  
Weather Conditions ◽  
Imaging Systems ◽  
Extreme Conditions ◽  
Commercial Vehicles ◽  
Performance Quality ◽  
Adverse Weather Conditions ◽  
Adverse Weather

Abstract Light detection and ranging (Lidar) imaging systems are being increasingly used in autonomous vehicles. However, the final technology implementation is still undetermined as major automotive manufacturers are only starting to select providers for data collection units that can be introduced in commercial vehicles. Currently, testing for autonomous vehicles is mostly performed in sunny environments. Experiments conducted in good weather cannot provide information regarding performance quality under extreme conditions such as fog, rain, and snow. Under extreme conditions, many instances of false detection may arise because of the backscattered intensity, thereby reducing the reliability of the sensor. In this work, lidar sensors were tested in adverse weather to understand how extreme weather affects data collection. Testing setup and algorithms were developed for this purpose. The results are expected to provide technological validation for the commercial use of lidar in automated vehicles. The effective ranges of two popular lidar sensors were estimated under adverse weather conditions, namely, fog, rain, and snow. Results showed that fog severely affected lidar performance, and rain too had some effect on the performance. Meanwhile, snow did not affect lidar performance.

scholarly journals Ship Handling in Unprotected Waters: A Review of New Technologies in Escort Tugs to Improve Safety

2021 ◽  
Vol 2 (1) ◽  
pp. 46-62
Author(s):  
Santiago Iglesias-Baniela ◽  
Juan Vinagre-Ríos ◽  
José M. Pérez-Canosa
Keyword(s):  
High Performance ◽  
New Technologies ◽  
Weather Conditions ◽  
Hull Form ◽  
Best Available Technologies ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
New Type ◽  
Technological Challenge ◽  
And Performance

It is a well-known fact that the 1989 Exxon Valdez disaster caused the escort towing of laden tankers in many coastal areas of the world to become compulsory. In order to implement a new type of escort towing, specially designed to be employed in very adverse weather conditions, considerable changes in the hull form of escort tugs had to be made to improve their stability and performance. Since traditional winch and ropes technologies were only effective in calm waters, tugs had to be fitted with new devices. These improvements allowed the remodeled tugs to counterbalance the strong forces generated by the maneuvers in open waters. The aim of this paper is to perform a comprehensive literature review of the new high-performance automatic dynamic winches. Furthermore, a thorough analysis of the best available technologies regarding towline, essential to properly exploit the new winches, will be carried out. Through this review, the way in which the escort towing industry has faced this technological challenge is shown.

Statistical analysis and critical review of navigational accidents in adverse weather conditions

2018 ◽  
Vol 163 ◽  
pp. 502-517 ◽  
Author(s):  
N.P. Ventikos ◽  
A.D. Papanikolaou ◽  
K. Louzis ◽  
A. Koimtzoglou
Keyword(s):  
Statistical Analysis ◽  
Critical Review ◽  
Weather Conditions ◽  
Adverse Weather Conditions ◽  
Adverse Weather
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