LEADER 03793nam 22006975 450 001 9910743249303321 005 20250217034033.0 010 $a9789811662102 010 $a981166210X 010 $a9789811662096 010 $a9811662096 024 7 $a10.1007/978-981-16-6210-2 035 $a(MiAaPQ)EBC6803030 035 $a(Au-PeEL)EBL6803030 035 $a(CKB)19410602200041 035 $a(OCoLC)1286426952 035 $a(PPN)25884115X 035 $a(DE-He213)978-981-16-6210-2 035 $a(EXLCZ)9919410602200041 100 $a20211110d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternet of Things and Analytics for Agriculture, Volume 3 /$fedited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (385 pages) 225 1 $aStudies in Big Data,$x2197-6511 ;$v99 311 08$aPrint version: Pattnaik, Prasant Kumar Internet of Things and Analytics for Agriculture, Volume 3 Singapore : Springer Singapore Pte. Limited,c2021 9789811662096 327 $aIoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition. . 330 $aThe book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes. 410 0$aStudies in Big Data,$x2197-6511 ;$v99 606 $aInternet of things 606 $aArtificial intelligence 606 $aAgriculture$xEconomic aspects 606 $aSustainability 606 $aInternet of Things 606 $aArtificial Intelligence 606 $aAgricultural Economics 606 $aSustainability 615 0$aInternet of things. 615 0$aArtificial intelligence. 615 0$aAgriculture$xEconomic aspects. 615 0$aSustainability. 615 14$aInternet of Things. 615 24$aArtificial Intelligence. 615 24$aAgricultural Economics. 615 24$aSustainability. 676 $a338.10285 700 $aPattnaik$b Prasant Kumar$01426975 702 $aKumar$b Raghvendra 702 $aPal$b Souvik 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743249303321 996 $aInternet of things and analytics for agriculture$93559558 997 $aUNINA