Mitigation Techniques for Agricultural Pollution by Precision Technologies with a Focus on the Internet of Things (IoTs): A Review

Abstract

The widespread of Information and Communication Technology (ICT) in the past decades brought numerous advantages to many individuals and most of the organizations everywhere in the world. In the 21st century, the most significant technology is the Internet of Things (IoTs) which has developed rapidly covering most of applications in the health, civil, military and agriculture sectors also. Precision Agriculture (PA), as the combination of information, communication and control technologies in agronomic practices, is emerging time by time. Also, precision agriculture is considered a smart farming system on the basis of modern technologies to regulate, examine and manage changes inside an agricultural field for cost-effectiveness, sustainability and optimal protection of environment. Meanwhile, agricultural practices are contributing to environmental pollution due to poor management which is further disturbing food security, health and climate. One of the best strategies to overcome this challenge can be introducing the deployment of precision technologies for the development of agricultural productivity while reducing the environmental degradation. Therefore, the key objective of this review was to discuss the mitigation techniques for agricultural pollution and enhance the agricultural production by smart technologies like IoTs. This paper summarizes the main categories of IoTs, Precision Agriculture, agricultural pollution and finally, mitigation practices on environmental degradation.

Early flood detection and rescue using bioinformatic devices, internet of things (IOT) and Android application

“…In a case study, the smart transportation system was used as an example, that considered the impacts of attacks of varying strengths and types, and demonstrated the efficacy of least effort attacks in crippling complex IoT systems. In the course of action, the security risking management outlined some developing countermeasures as a notable theorem and designing the integrated evaluating platforms for impacting the attacks and the effectiveness of countermeasures (Elmustafa and Mujtaba, 2019;Nayyar et al, 2020;Perwej et al, 2019;Narmilan and Niroash, 2020). The IoT-based disaster management system can predict the flood and alert the nearby people immediately of the impending danger.…”

Application of Drone Surveillance for Advance Agriculture Monitoring by Android Application Using Convolution Neural Network

“…Precision agriculture is a modern method of farming that utilizes advanced technologies to analyze and manage changes within an agricultural field, with the aim of maximizing efficiency, reducing input costs, and promoting sustainability and environmental protection [3][4][5]. This technique has gained significant attention in recent years, and its importance in the agricultural industry cannot be overstated [6].…”

Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models

“…In addition, numerous researchers are striving to improve the WLD diagnosis methods by laboratory-based testing, particularly the polymerase chain reaction (PCR) test, which is time-consuming and costly [8]. The methods based on precision agriculture have been recently adopted as one of the effective applications [16][17][18][19] that improve the productivity of the sugarcane as they offer the quick and simple detection of WLD-affected areas in the sugarcane fields, enabling the timely control and prevention of propagating the infestation [8].…”