The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming

Author(s): Megha Jain* and Dhiraj Pandey

DOI: 10.2174/9789815274349124010013

Scientific Integrated Solid Waste Management System to Minimize Adverse Effects on Agriculture

Pp: 201-218 (18)

Buy Chapters

* (Excluding Mailing and Handling)

  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

The management of solid waste is a major issue everywhere in the world. It is an undesirable material produced from industrial and business activities andfrom residential areas in a given region, which leads to adverse impacts on agriculture. Decentralized municipal solid waste is one of the causes of the harmful environment in India and all over the world. Decentralized waste management causes significant problems, including hazardous diseases and environmental pollution. To tackle these problems, scientific management of waste disposal is needed. Few methods are used to find the solution to these problems, but they do not give precise and accurate results. Moreover, there is uncertainty in data, so there is an immediate need to establish a reliable way to find a place where solid waste can be disposed of. A scientific, integrated solid waste management system must be immediately designed to reduce the effects on agriculture. Geospatial tools like Remote Sensing and GIS, which can help in appropriate site choice for Municipal Solid Waste (MSW) disposal in an additional scientific manner, might result in economically supported concrete proof. The study provides the suitable places in the city and the best algorithms in the field of Site Suitability Analysis (SSA).

We recommend

Favorable 70-S: Investigation Branching Arrow

Authors:Bentham Science Books