Javid Kashefi

Evaluation of UAV imagery for mapping Silybum marianum weed patches

ABSTRACT Silybum marianum (L.) Gaertn weed has the tendency to grow in patches. In order to perform site-specific weed management, determining the spatial distribution of weeds is important for its eradication. Remote sensing has been used to perform species discrimination and it offers promising techniques for operational weed mapping. In the present study, the feasibility of high-resolution imaging for S. marianum detection and mapping is reported. A multispectral camera (green–red–near-infrared) mounted on a fixed wing unmanned aerial vehicle (UAV) was used for the acquisition of high-resolution images with pixel size of 0.1 m. The maximum likelihood (ML) classifier was used to classify the S. marianum among other weed species present in a field, with Avena sterilisL. being predominant. As input to the classifier, the three spectral bands and the texture were used. The scale of the mapping was varied by degrading the image resolution to evaluate classification performance, with 1 m resolution providing the highest classification accuracy. The classification rates obtained using ML reached an overall accuracy of 87.04% with a K-hat statistic of 74%. The results prove the feasibility of operational S. marianum mapping using UAV and multispectral imaging.

Nontarget Effects of Aerial Mosquito Adulticiding with Water-Based Unsynergized Pyrethroids on Honey Bees and other Beneficial Insects in an Agricultural Ecosystem of North Greece

ABSTRACT We assessed the nontarget effects of ultra-low-volume (ULV) aerial adulticiding with two new water-based, unsynergized pyrethroid formulations, Aqua-K-Othrine (FFAST antievaporant technology, 2% deltamethrin) and Pesguard S102 (10% d-phenothrin). A helicopter with GPS navigation technology was used. One application rate was tested per formulation that corresponded to 1.00 g (AI)/ha of deltamethrin and 7.50 g (AI)/ha of d-phenothrin. Three beneficial nontarget organisms were used: honey bees (domesticated hives), family Apidae (Apis mellifera L.); mealybug destroyers, family Coccinellidae (Cryptolaemus montrouzieri Mulsant); and green lacewings, family Chrysopidae (Chrysoperla carnea (Stephens)). No significant nontarget mortalities were observed. No bees exhibited signs of sublethal exposure to insecticides. Beehives exposed to the insecticidal applications remained healthy and productive, performed as well as the control hives and increased in weight (25–30%), in adult bee population (14–18%), and in brood population (15–19%).

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

In the present study, the detection and mapping of Silybum marianum (L.) Gaertn. weed using novelty detection classifiers is reported. A multispectral camera (green-red-NIR) on board a fixed wing unmanned aerial vehicle (UAV) was employed for obtaining high-resolution images. Four novelty detection classifiers were used to identify S. marianum between other vegetation in a field. The classifiers were One Class Support Vector Machine (OC-SVM), One Class Self-Organizing Maps (OC-SOM), Autoencoders and One Class Principal Component Analysis (OC-PCA). As input features to the novelty detection classifiers, the three spectral bands and texture were used. The S. marianum identification accuracy using OC-SVM reached an overall accuracy of 96%. The results show the feasibility of effective S. marianum mapping by means of novelty detection classifiers acting on multispectral UAV imagery.

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery

Remote sensing techniques are routinely used in plant species discrimination and of weed mapping. In the presented work, successful Silybum marianum detection and mapping using multilayer neural networks is demonstrated. A multispectral camera (green-red-near infrared) attached on a fixed wing unmanned aerial vehicle (UAV) was utilized for the acquisition of high-resolution images (0.1 m resolution). The Multilayer Perceptron with Automatic Relevance Determination (MLP-ARD) was used to identify the S. marianum among other vegetation, mostly Avena sterilis L. The three spectral bands of Red, Green, Near Infrared (NIR) and the texture layer resulting from local variance were used as input. The S. marianum identification rates using MLP-ARD reached an accuracy of 99.54%. Τhe study had an one year duration, meaning that the results are specific, although the accuracy shows the interesting potential of S. marianum mapping with MLP-ARD on multispectral UAV imagery.

Ground ultra low volume (ULV) space spray applications for the control of wild sand fly populations (Psychodidae: Phlebotominae) in Europe

The Phlebotomus sand flies are considered an important vector of both canine and human leishmaniasis. Current measures for sand fly control include mostly indoor interventions, such as residual spraying of dwellings (IRS) to target endophilic sand fly species with very limited number of vector control tools for outdoor interventions against exophilic sand flies. In this study we investigated the efficacy of ground ultra low volume (ULV) space spray applications of a deltamethrin based product against field populations of P. perfiliewi, a major nuisance and pathogen-transmitting sand fly species of the Mediterranean Basin. Sand fly flight activity patterns and flight height preference within candidate treatment sites (kennels) were determined prior to treatments in order to optimize the timing and application parameters of the spray applications. On average there was a distinct activity peak between 20.00-22.00 h for both male and female P. perfiliewi with more than 45% and 30% of the population sampled occurring between 20.00-21.00 h and 21.00-22.00 h, respectively. No significant difference was observed in sand fly numbers from sticky traps placed at 0.5 up to 1.5 m height. However, there was a significant decrease in sand fly numbers at 2 m indicating a preference of sand flies to fly below 2 m. The low and high application rate of deltamethrin resulted in mean sand fly population decrease of 18 and 66%, respectively between pre-and post-treatment trap nights. The percent mean population change in the untreated control area was a positive number (30%) indicating that there was an increase in numbers of sand flies trapped between pre- and post-treatment nights. The results of this study provide strong evidence that ground ULV space spray applications when applied properly can result in significant sand fly control levels, even in a heavily infested sand fly environment such as the kennel sites used in this study.