Mohamed Rawidean Mohd Kassim

Precision irrigation using Wireless Sensor Network

Wireless Sensors Network (WSN) are used to build decision support systems (DSS) to overcome many real-world problems. Nowadays, one of the most popular fields that needs DSS is precision agriculture (PA). In general, this paper presents WSN as an alternative and efficient way to solve the farming resources optimization and decision making. Precision agriculture systems based on the internet of things (IOT) technology is explained in detail especially on the hardware and network architecture and software process control of the precision irrigation system. The system collect, analyse and monitors data from the sensors in a feedback loop which activates the control devices based on pre-calculated threshold value.

Wireless Sensor Network in precision agriculture application

The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world. One of the most interesting fields having an increasing need of decision support systems is precision agriculture (PA). This paper presents WSN as the best way to solve the agricultural problems related to farming resources optimization, decision making support, and land monitoring. This approach provides real-time information about the lands and crops that will help farmers make right decisions. Using the basic principles of Internet and WSN technology, precision agriculture systems based on the internet of things (IOT) technology is explained in detail especially on the hardware architecture, network architecture and software process control of the precision irrigation system. The software monitors data from the sensors in a feedback loop which activates the control devices based on threshold value. Implementation of WSN in PA will optimize the usage of water fertilizer and also maximized the yield of the crops.

Precision irrigation performance measurement using wireless sensor network

It is observed that farmers have to bear huge financial loss due to wrong prediction of weather and incorrect irrigation method to crops. Evolution of wireless sensor network (WSN) technology enabled automatic irrigation in a greenhouse for Precision Agriculture (PA) application. In this paper, we describe the design requirements, system architecture, implementation, system test results of WSN for PA in a greenhouse. Sensors are used to monitor temperature, humidity and moisture. Software monitors data from the sensors in a feedback loop which activates the control devices based on threshold value. Implementation of WSN in PA will optimize the usage of water fertilizer and also maximised the yield of the crops.

Applications of WSN in agricultural environment monitoring systems

The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to solve many real-world problems. One of the most interesting fields having an increasing need of decision support systems is agricultural environment monitoring. Agricultural environment monitoring has become an important field of control and protection, providing real-time system and control communication with the physical world. An intelligent and smart WSN system can collect and process large amount of data from the beginning of the monitoring and manage air quality, soil conditions, to weather situations. The proposed system collects and monitors information related to the growth environment of crops outside and inside greenhouses using WSN sensors and CCTV cameras. The temperature and humidity sensors are developed in-house and both sensors are very reliable. Furthermore, the system allows automatic control of greenhouse environment remotely and thus improves the productivity of crops. This paper presents hardware architecture, system architecture and software process control of the agriculture environment monitoring system.

IoT in Precision Agriculture applications using Wireless Moisture Sensor Network

Internet of Things (IoT) is a network of sensors and connectivity to enable application like agriculture optimum irrigation. Wireless sensor network (WSN) and Wireless Moisture Sensor Network (WMSN) are components of IoT. One of the important processes in agriculture is irrigation. Improper irrigation will result in waste of water. Proper irrigation system could be achieved by using WSN technology. Monitoring and control applications have been tremendously improved by using WSN technology. It enabled efficient communication with many sensors. WMSN is a WSN with moisture sensors. In this study, Precision Agriculture (PA) used WMSN to enable efficient irrigation. In this paper, we describe about IoT and WMSN in agriculture applications particularly in greenhouse environment. This paper explained and proved the efficiency of feedback control method in greenhouse crop irrigation. A test was conducted to see the different these two methods. The methods are irrigation by schedule or feedback based irrigation. Irrigation by schedule is to supply water to the plant at specific time periods. Feedback based irrigation is to irrigate plant when the moisture or level of media wetness reached predefined value. The test shows that there is an average savings of 1,500 ml per day per tree.

Precision agriculture applications using wireless moisture sensor network

Improper irrigation will result in waste of water. Proper irrigation system could be achieved by using Wireless sensor networks (WSN) technology. Monitoring and control applications have been tremendously improved by using Wireless sensor networks technology. It enabled efficient communication with many sensors. Wireless moisture sensor network (WMSN) is a WSN with moisture sensors. Efficient irrigation could be achieved through the utilisation of WMSN. WMSN enabled efficient irrigation in a greenhouse for Precision Agriculture (PA) application. In this paper, we describe the overall system design, system architecture, implementation, system test results of WMSN for PA in a greenhouse. Moisture Sensors are used to measure amount of water in the media. Close loop system acquires sensors data and activates the control devices based on predetermined threshold value. A test was conducted to compare the efficiency of irrigation using two methodologies; schedule and automated. The test shows that there is an average savings of 1,500 ml per day per tree.

Using Wireless Sensor Networks to Determine Pollination Readiness in Palm Oil Plantation

The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to solve many real-world problems. One of the most interesting fields having an increasing need of decision support systems is agricultural environment monitoring. Agricultural environment monitoring has become an important field of control and protection, providing real-time system and control communication with the physical world. An intelligent and smart WSN system can collect and process large amount of data from the beginning of the monitoring and manage air quality, soil conditions, to weather situations. Wireless sensors are used in a palm oil plantation to monitor the humidity, temperature and other parameters of a mother palm to find the best time to start a controlled pollination process. Pollination is the process of transferring pollen from the male reproductive organ to the female reproductive organ of a flower. The inaccuracy in determining pollination readiness of the oil palm flower could potentially cause a detrimental effect on the palm oil industry in the long run.