scholarly journals Computer development based embedded systems in precision agriculture: tools and application

2022 ◽  
pp. 1-23
Author(s):  
Amine Saddik ◽  
Rachid Latif ◽  
Abdelhafid El Ouardi ◽  
Mohamed Elhoseny ◽  
Adel Khelifi
Keyword(s):  
Embedded Systems ◽  
Precision Agriculture ◽  
Computer Development

Environmental Benefits of Precision Agriculture Adoption

2020 ◽  
pp. 637-656 ◽  
Author(s):  
Marco Medici ◽  
Søren Marcus Pedersen ◽  
Giacomo Carli ◽  
Maria Rita Tagliaventi
Keyword(s):  
Environmental Impacts ◽  
Precision Agriculture ◽  
New Technologies ◽  
Environmental Benefits ◽  
Herbicide Application ◽  
Pesticide Application ◽  
Policy Makers ◽  
Application Rates ◽  
Biodiversity Policy ◽  
Lime Application

The purpose of this study is to analyse the environmental benefits of precision agriculture technology adoption obtained from the mitigation of negative environmental impacts of agricultural inputs in modern farming. Our literature review of the environmental benefits related to the adoption of precision agriculture solutions is aimed at raising farmers' and other stakeholders' awareness of the actual environmental impacts from this set of new technologies. Existing studies were categorised according to the environmental impacts of different agricultural activities: nitrogen application, lime application, pesticide application, manure application and herbicide application. Our findings highlighted the effects of the reduction of input application rates and the consequent impacts on climate, soil, water and biodiversity. Policy makers can benefit from the outcomes of this study developing an understanding of the environmental impact of precision agriculture in order to promote and support initiatives aimed at fostering sustainable agriculture.

Development of embedded systems to control toxic compounds in textile industries

2012 ◽  
Vol 1 (5) ◽  
pp. 115-117
Author(s):  
Jahnavi KRM Jahnavi KRM ◽  
◽  
Raghavendra Rao K ◽  
Padma Suvarna R
Keyword(s):  
Embedded Systems ◽  
Toxic Compounds ◽  
Textile Industries

Proposal and Evaluation of Mutual Exclusion Method using Lock-free Algorism for Embedded Systems using Multi-core Processor

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mutual Exclusion ◽  
Exclusion Method ◽  
Multi Core Processor

Towards Okinawa-style Robot-embedded Systems

2013 ◽  
Vol 133 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Takashi Anezaki ◽  
Suriyon Tansuriyavong ◽  
Chikatoshi Yamada
Keyword(s):  
Embedded Systems

Precision Agriculture in the Part of Uttarakhand using Geospatial Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 2574-2579
Author(s):  
Divya Uniyal ◽  
◽  
Sourabh Dangwal ◽  
Govind Singh Negi ◽  
Saurabh Purohit ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Geospatial Techniques

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

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