Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048586442> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3048586442 endingPage "48" @default.
- W3048586442 startingPage "40" @default.
- W3048586442 abstract "Overcoming population growth dilemma with less resources of soil and water, the irrigated agriculture allows us to increase the yield and the production of several crops in order to meet the high requirements of demands of food and fibers. Efficiently, an irrigation system should correctly evaluate the amount of water and also the timing, when applying certain irrigation doses. Global warming of the planet, to which is added in some regions an irregular regime of precipitation and a scarcity of available water resources, requires precision irrigation systems. The rational use of water and inputs (mainly fertilizers and pesticides) is crucial in some areas of the planet suffering from a deficiency of water. Hence, in these regions where the environmental conditions are harsh to ensure an efficient crop growth. Moreover, plant diseases and pests impact the yields of crops. For these reasons is it why an early detection gives us the opportunity to treat the disease or pest as quickly and effectively as possible, in order, to reduce the impact of these latter. Nowadays, the identification of plant diseases and pest with Artificial Intelligence algorithms on video flow in real conditions with variable exposition are still being a very challenging problem. Researchers classically develop algorithms that are trained on calibrated exposition images, which does not perform well in real conditions. Furthermore, the processing of a video in real time needs specialized computing resources close to the pivot-center irrigation trained with AI algorithms on real images and then analyzes rapidly, detects problem, and then react accordingly. In this paper, we complete our previous proposed IoT system to optimize the water use and we displaced the computing of data at the edge level in order to be able to process videos locally, event the Internet connection is limited. This local computing power also allows us to manage the supply of fertilizers and the treatment of plant diseases, and pests." @default.
- W3048586442 created "2020-08-18" @default.
- W3048586442 creator A5007113370 @default.
- W3048586442 creator A5019027943 @default.
- W3048586442 creator A5026980527 @default.
- W3048586442 creator A5040448407 @default.
- W3048586442 creator A5042616323 @default.
- W3048586442 creator A5086430193 @default.
- W3048586442 date "2020-01-01" @default.
- W3048586442 modified "2023-10-16" @default.
- W3048586442 title "Edge AI-IoT Pivot Irrigation, Plant Diseases, and Pests Identification" @default.
- W3048586442 cites W2724553790 @default.
- W3048586442 cites W2740786049 @default.
- W3048586442 cites W2754542821 @default.
- W3048586442 cites W2755492556 @default.
- W3048586442 cites W2783537279 @default.
- W3048586442 cites W2783923117 @default.
- W3048586442 cites W2784134555 @default.
- W3048586442 cites W2797537664 @default.
- W3048586442 cites W2803356292 @default.
- W3048586442 cites W2884224815 @default.
- W3048586442 cites W2900295585 @default.
- W3048586442 cites W2900820434 @default.
- W3048586442 cites W2908708273 @default.
- W3048586442 cites W2945987329 @default.
- W3048586442 cites W2990158226 @default.
- W3048586442 cites W3013739908 @default.
- W3048586442 cites W3034190611 @default.
- W3048586442 cites W3035596072 @default.
- W3048586442 cites W3036378327 @default.
- W3048586442 cites W3036486483 @default.
- W3048586442 cites W3038300171 @default.
- W3048586442 cites W3040961334 @default.
- W3048586442 cites W3041377695 @default.
- W3048586442 doi "https://doi.org/10.1016/j.procs.2020.10.009" @default.
- W3048586442 hasPublicationYear "2020" @default.
- W3048586442 type Work @default.
- W3048586442 sameAs 3048586442 @default.
- W3048586442 citedByCount "19" @default.
- W3048586442 countsByYear W30485864422020 @default.
- W3048586442 countsByYear W30485864422021 @default.
- W3048586442 countsByYear W30485864422022 @default.
- W3048586442 countsByYear W30485864422023 @default.
- W3048586442 crossrefType "journal-article" @default.
- W3048586442 hasAuthorship W3048586442A5007113370 @default.
- W3048586442 hasAuthorship W3048586442A5019027943 @default.
- W3048586442 hasAuthorship W3048586442A5026980527 @default.
- W3048586442 hasAuthorship W3048586442A5040448407 @default.
- W3048586442 hasAuthorship W3048586442A5042616323 @default.
- W3048586442 hasAuthorship W3048586442A5086430193 @default.
- W3048586442 hasBestOaLocation W30485864421 @default.
- W3048586442 hasConcept C109747225 @default.
- W3048586442 hasConcept C116834253 @default.
- W3048586442 hasConcept C118518473 @default.
- W3048586442 hasConcept C127413603 @default.
- W3048586442 hasConcept C162324750 @default.
- W3048586442 hasConcept C175444787 @default.
- W3048586442 hasConcept C18903297 @default.
- W3048586442 hasConcept C41008148 @default.
- W3048586442 hasConcept C51193700 @default.
- W3048586442 hasConcept C6557445 @default.
- W3048586442 hasConcept C86803240 @default.
- W3048586442 hasConcept C88463610 @default.
- W3048586442 hasConcept C88862950 @default.
- W3048586442 hasConceptScore W3048586442C109747225 @default.
- W3048586442 hasConceptScore W3048586442C116834253 @default.
- W3048586442 hasConceptScore W3048586442C118518473 @default.
- W3048586442 hasConceptScore W3048586442C127413603 @default.
- W3048586442 hasConceptScore W3048586442C162324750 @default.
- W3048586442 hasConceptScore W3048586442C175444787 @default.
- W3048586442 hasConceptScore W3048586442C18903297 @default.
- W3048586442 hasConceptScore W3048586442C41008148 @default.
- W3048586442 hasConceptScore W3048586442C51193700 @default.
- W3048586442 hasConceptScore W3048586442C6557445 @default.
- W3048586442 hasConceptScore W3048586442C86803240 @default.
- W3048586442 hasConceptScore W3048586442C88463610 @default.
- W3048586442 hasConceptScore W3048586442C88862950 @default.
- W3048586442 hasLocation W30485864421 @default.
- W3048586442 hasLocation W30485864422 @default.
- W3048586442 hasOpenAccess W3048586442 @default.
- W3048586442 hasPrimaryLocation W30485864421 @default.
- W3048586442 hasRelatedWork W1247324499 @default.
- W3048586442 hasRelatedWork W1503594965 @default.
- W3048586442 hasRelatedWork W2001427592 @default.
- W3048586442 hasRelatedWork W2045999075 @default.
- W3048586442 hasRelatedWork W2077261308 @default.
- W3048586442 hasRelatedWork W2366445448 @default.
- W3048586442 hasRelatedWork W3019016019 @default.
- W3048586442 hasRelatedWork W3109132290 @default.
- W3048586442 hasRelatedWork W4310985187 @default.
- W3048586442 hasRelatedWork W4385233663 @default.
- W3048586442 hasVolume "177" @default.
- W3048586442 isParatext "false" @default.
- W3048586442 isRetracted "false" @default.
- W3048586442 magId "3048586442" @default.
- W3048586442 workType "article" @default.