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.

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Flowering is the first committed step of plant sexual reproduction. While the developing flower is a strong sink requiring large quantity of sugars from photosynthetic source tissues, this process is under-temper-spatially controlled via hormone signaling pathway and nutrient availability. Sugar transporters SUT/SUC and SWEET mediate sugars movement across membranes and play a significant role in various physiological processes, including reproductive organ development. In Petunia axillaris, a model ornamental plant, 5 SUT/SUC and 36 SWEET genes are identified in the current version of the genome. Analysis of their gene structure and chromosomal locations reveal that SWEET family is moderately expanded. Most of the transporter genes are abundantly expressed in the flower than in other organs. During the five flower developmental stages, transcript levels of PaSUT1, PaSUT3, PaSWEET13c, PaSWEET9a, PaSWEET1d, PaSWEET5a and PaSWEET14a increase with the maturation of the flower and reach their maximum in the fully open flowers. PaSWEET9c, the nectar-specific PhNEC1 orthologous, is expressed in matured and fully opened flowers. Moreover, determination of sugar concentrations and phytohormone dynamics in flowers at the five developmental stages shows that glucose is the predominant form of sugar in young flowers at the early stage but depletes at the later stage, whereas sucrose accumulates only in maturated flowers prior to the corolla opening. On the other hand, GA3 content and to a less extent IAA and zeatin decreases with the flower development; however, JA, SA and ABA display a remarkable peak at mid- or later flower developmental stage.

ObjectivesFalling in the elderly is considered a major cause of death. In recent years, ambient and wireless sensor platforms have been extensively used in developed countries for the detection of falls in the elderly. However, we believe extra efforts are required to address this issue in developing countries, such as Pakistan, where most deaths due to falls are not even reported. Considering this, in this paper, we propose a fall detection system prototype that s based on the classification on real time shimmer sensor data.MethodsWe first developed a data set, ‘SMotion’ of certain postures that could lead to falls in the elderly by using a body area network of Shimmer sensors and categorized the items in this data set into age and weight groups. We developed a feature selection and classification system using three classifiers, namely, support vector machine (SVM), K-nearest neighbor (KNN), and neural network (NN). Finally, a prototype was fabricated to generate alerts to caregivers, health experts, or emergency services in case of fall.ResultsTo evaluate the proposed system, SVM, KNN, and NN were used. The results of this study identified KNN as the most accurate classifier with maximum accuracy of 96% for age groups and 93% for weight groups.ConclusionsIn this paper, a classification-based fall detection system is proposed. For this purpose, the SMotion data set was developed and categorized into two groups (age and weight groups). The proposed fall detection system for the elderly is implemented through a body area sensor network using third-generation sensors. The evaluation results demonstrate the reasonable performance of the proposed fall detection prototype system in the tested scenarios.

Grapes (Vitis vinifera) are the important fruit crop in Pakistan, mostly cultivated for edible purpose. In September 2016, unusual fruit rot symptoms were observed 3-5 days after harvesting on grapes cv. Kishmishi in post-harvest packing houses in Jehlum district (32°56'22.3"N 73°43'31.4"E) of Punjab province. To determine the disease incidence, a total of 10 boxes of grapes from 5 different locations were selected randomly. Each box contained average 12 bunches and 30 bunches out of 120 inspected bunches displayed typical symptoms of the disease. The initial Symptoms were small, round, water-soaked lesions that rapidly developed into soft, white to light pink mycelium near the centre of infected fruits (Figure 1). A total of 186 symptomatic berries were surface sterilized with 1% sodium hypochlorite, rinsed three times with sterile distilled water and dried by placing on filter paper for 45 sec. Sterilized tissues (approximately 4 mm3) were excised and incubated on potato dextrose agar (PDA) medium at 25 ± 4°C. One week after incubation, colonies with abundant aerial mycelium were initially white, cottony and turned to violet and dark purple with age (Figure 2). A total of 25 isolates were examined morphologically. Macroconidia were slender, thin-walled, 3 to 5 septate, curved apical cell, with 20.9 to 45.2 × 3.2 to 7.1 μm and Microconidia were thin-walled, aseptate, club-shaped with 4.5 to 11.2 × 2.3 to 4.1 μm (Figure 3). These characteristics best fit for the description of Fusarium proliferatum (Leslie and Summerell, 2006). Portions of the internal transcribed spacer (ITS) region were sequenced (White et al., 1990). Sequences of two isolates Fus 07 and Fus 09 (GenBank Accessions; MH444366 and MH464139) showed 100% identity to the corresponding gene sequences of Fusarium proliferatum (GenBank Accessions; MH368119, MF033172 and KU939071) (Figure 4). Pathogenicity test was performed by inoculation with 50-μl conidial suspension (1 × 106conidia/ml) of two isolates onto three non-wounded and four wounded asymptomatic grapes berries. Sterile distilled water was used for a negative control (Figure 5). The experiment was conducted twice and berries were incubated at 25 ± 2°C in sterile moisture chambers (Ghuffar et al., 2018). White to light pink mycelium in appearance with the original symptoms were observed on both wounded and non-wounded inoculated berries after 3 days, whereas no symptoms were observed on the negative control. The morphology of the fungus that was re-isolated from each of the inoculated berries was identical to that of the original cultures. Fusarium proliferatum, one of the destructive species, causes diseases like foot-rot of corn (Farr et al., 1990), root rot of soybean (Díaz Arias et al., 2011), bakanae of rice (Zainudin et al., 2008), wilt of date palm (Khudhair et al., 2014), tomato wilt (Chehri, 2016) and tomato fruit rot (Murad et al., 2016). To our knowledge, this is the first report of Fusarium proliferatum causing fruit rot of grapes in Pakistan, where the disease poses a significant threat to the sustainability of this major fruit crop.

Choice and no-choice tests were run to evaluate natural resistance of the woods of two Morus species (Morus alba and Morus nigra) against the subterranean, Heterotermes indicola, under field conditions. Toxicity, antifeedant and repellency potential of the heartwood extractives was also investigated under laboratory conditions. Heartwood extractives were removed from wood shavings by using methanol or an ethanol: toluene (2:1) mixture. Results of choice and no-choice tests with sap and heartwood blocks exposed to termites, showed that both mulberry species were resistant to termites but in comparison, Morus alba wood was more resistant than Morus nigra to termite feeding as it showed <5 % weight loss after 90 days. Termites exhibited a concentration dependent mortality after exposure to either mulberry species' heartwood extractives. The highest termite mortality occurred after termites were exposed to filter paper treated with Morus alba extractives at a concentration of 5 %. At this concentration, antifeedancy and repellency were calculated to be 91,67 and 84 % respectively.. Our results also showed that extractives from either mulberry species imparted resistance to vacuum-pressure treated non-durable Populus deltoides wood. Termite mortality was greater than 75 % after feeding on Populus deltoides wood treated with extractives from Morus alba. Solvent only (methanol) treated Populus deltoides controls, showed a minimum weight loss of 2,69 % after 28 days. These results suggest that Morus alba extractives have antitermitic properties and may be potentially useful in the development of environment friendly termiticides.