Monitoring, Detection and Control Techniques of Agriculture Pests and Diseases using Wireless Sensor Network: A Review
Authors:
- S. AzfarS. Azfar
- A A.NadeemA A.Nadeem
- A.B. AlkhodreAAA.B. Alkhodre
- K K.AhsanKKK K.Ahsan
- N. MehmoodNMN. Mehmood
- T T.AlghmdiTTT T.Alghmdi
- Y Y.AlsaawyYYY Y.Alsaawy
Open Access
- 1 January 2018
- journal article
- review article
- Published by The Science and Information Organization in International Journal of Advanced Computer Science and Applications
- Vol. 9 (12)
Abstract
Wireless sensor network technology is widely used in the western world for improving agriculture output. However, in the developing countries, the adaptation of technology is very slow due to various factors such as cost and unawareness of farmers with the technology. There are reports in the literature related to the precision agriculture and hopefully, this paper will add to the knowledge of the use of Wireless sensor network (WSN) for monitoring agriculture fields for pest detection. The literature related to pest monitoring and detection using wireless sensor networking technologies are reviewed. Then, the advanced sensing technologies are currently in use for the detection of a pest has been described. The existing techniques about pest detection and disease monitoring are evaluated on the basis of some key parameters such as the type of sensors used, their cost, processing tools, etc. Finally, the sensing technologies and the possibility of using third generation sensing technology for monitoring and detection of cotton crops are analyzed.Keywords
This publication has 13 references indexed in Scilit:
- Application of Laser Induced Breakdown Spectroscopy in Early Detection of Red Palm Weevil: (Rhynchophorus ferrugineus) Infestation in Date PalmPlasma Science and Technology, 2015
- Perspective and Promise: a Century of Insect Acoustic Detection and MonitoringAmerican Entomologist, 2011
- Measuring crop biomass density by laser triangulationComputers and Electronics in Agriculture, 2008
- Automatic Species Identification of Live Moths2007
- Estimation of tree heights and stand volume using an airborne lidar systemRemote Sensing of Environment, 1996
- Automated Pheromone Traps Show Male Pink Bollworm (Lepidoptera: Gelechiidae) Mating Response Is Dependent on Weather ConditionsJournal of Economic Entomology, 1994
- Measuring Canopy Structure with an Airborne Laser AltimeterTransactions of the ASAE, 1993
- Sprayer control by sensing orchard crop characteristics: Orchard architecture and spray liquid savingsJournal of Agricultural Engineering Research, 1989
- Estimating forest biomass and volume using airborne laser dataRemote Sensing of Environment, 1988
- An infra-red remote sensing system for the active detection and automatic determination of insect flight trajectories (IRADIT)Bulletin of Entomological Research, 1984