The Wireless Sensor Network can be divided in to two parts: one that contains the colossal amount of sensor nodes and the other which includes the network formed by those sensor nodes. The sensor nodes are equipped with limited resources. Consequently, WSNs face the problems like partitioned WSNs due to which sensed data gets discarded by the base station, data inconsistency problem, and energy...

development of sensors to detect the location and depth of hard pans in real time is a major restriction on the application of site specific crop management (sscm). in this study, a soil compaction profile sensor equipped with four horizontal operating penetro-meters for on-the-go sensing and mapping of the location and intensity of hard pans arti-ficially formed in a soil bin was developed and...

Most classical mathematical algorithms for image classi®cation do not usually consider the spectral dependence existing between a pixel and its neighbours, i.e., spatial autocorrelation. Thus, it would be advisable for discrimination of landcover classes to add to the radiometric bands of the sensor complementary information related to the textural features of an image, which can be analysed fr...

Remotely sensed data is obtained through artificial satellites from various geographic and astronomical sources. Remotely sensed image data are well adopted for monitoring and analyzing the behavior of different covers and also the temporal changes occurring on the target. Observations are made by periodically collecting the data and then comparing previous data. Using various sensors, data is ...

PDC (Plant Density of Cotton) was an essential parameter for estimating the cotton yield and developing the zone-management measurements. This paper proposed a new method to retrieve PDC from the satellite remote sensing data. The thirteen fields of Xinjiang Production and Construction Corps (XPCC) (total 630 hm) were selected as the study area, where the sowing date, emergence date, and PDC we...

The agricultural sector will require more water in the near future to provide more food, fibre and fuels (Molden et al., 2007). As population increases and development calls for increased demand of food, a change in diet due to increased prosperity, and a recent focus on biofuels. This population growth coupled with industrialization and urbanization will result in an increasing demand for wate...

In this paper, we investigate the facts of ensuring secure sensed data in a balanced energy network backbone, and propose Enhanced an Energyefficient Data Privacy Protection Scheme for wireless sensor networks (E-EDPPS). In wireless sensor networks (WSNs), sensors may be deployed in an unpredictable environment where a limited energy of the sensor nodes has led to the development of EEDPPS. It ...

We are entering a new era of computing technology, the era of Internet of Things (IoT). An important element for this popularization is the large use of off-the-shelf sensors. Most of those sensors will be deployed by different owners, generally common users, creating what we call the Collaborative IoT. This collaborative IoT helps to increase considerably the amount and availability of collect...

Sensor network applications may involve dealing with the remote, distributed monitoring of inaccessible and hostile locations. These networks are vulnerable to security breaches both physically and electronically. The sensor nodes, once compromised, can send erroneous data to the base station ,thereby possibly compromising network effectiveness. The sensor nodes are organized in a hierarchy whe...

Association rule mining is one of the most important problems of data mining. Since remotely sensed data contains huge amounts of information, it’s a very potent area to discover useful rules. Compared to traditional Market “basket data”, remote sensed imagery has specific characteristics and also presents specific difficulties. Two problems need to be solved to apply association rule mining on...