Litcius/Paper detail

Agricultural Waste Management Systems Using Artificial Intelligence Techniques

Ashok Kumar Koshariya, Sugra Khatoon, Asmita Marathe, G. Merlin Suba, Deewakar Baral, Sampath Boopathi

2023Advances in computational intelligence and robotics book series72 citationsDOI

Abstract

In this chapter, the precision agricultural and waste management systems using artificial intelligent techniques are described. The fourth agricultural revolution integrates cross-industry technology to increase precision agriculture output and efficiency. Predictive analytics can be used to incorporate massive amounts of data generated by wireless smart networks and the internet of things. “Smart farming” aims to improve both the quantity and quality of agricultural products. The internet of things (IoT) is being used to improve agro-waste management, as well as crop classification and disease detection. Garbage collection and wireless sensor networks on smart bins are employed in the IOT to improve waste management. Vermicomposting is a process that uses earthworms and other associated bacteria to create incredibly fertile compost. Waste management methods for flower waste, bagasse, banana agro-waste, and agro-industrial wastewater have been depicted. Smart waste management for precision agriculture systems is also illustrated.

Topics & Concepts

AgricultureEngineeringGarbageInternet of ThingsWireless sensor networkCompostWaste managementAgricultural engineeringComputer scienceEmbedded systemGeographyArchaeologyComputer networkSmart Agriculture and AIDate Palm Research StudiesFood Supply Chain Traceability
Agricultural Waste Management Systems Using Artificial Intelligence Techniques | Litcius