scholarly journals IOT-Based Cotton Whitefly Prediction Using Deep Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Rana Muhammad Saleem ◽  
Rafaqat Kazmi ◽  
Imran Sarwar Bajwa ◽  
Amna Ashraf ◽  
Shabana Ramzan ◽  
...  

Agriculture is suffering from the problem of low fertility and climate hazards such as increased pest attacks and diseases. Early prediction of pest attacks can be very helpful in improving productivity in agriculture. Insect pest (whitefly) attack has a high influence on cotton crop yield. Internet of Things solution is proposed to predict the whitefly attack to take prevention measures. An insect pest prediction system (IPPS) was developed with the help of the Internet of Things and a RBFN algorithm based on environmental parameters such as temperature, humidity, rainfall, and wind speed. Pest Warning and Quality Control of Pesticides proposed an economic threshold level for prediction of whitefly attack. The economic threshold level and RBFN algorithm are used to predict the whitefly attack using temperature, humidity, rainfall, and wind speed. The seven evaluation metrics accuracy, f-measures, precision, recall, Cohen’s kappa, ROC AUC, and confusion matrix are used to determine the performance of the RBFN algorithm. The proposed insect pest prediction system is deployed in the high influenced region of pest that provides pest prediction information to the farmer to take control measures.

2013 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Abdullahi G ◽  
B. M. Sastawa ◽  
Shehu A

<em>Pachnoda interrupta</em> is one of the head-infesting insect pests of sunflower in Maiduguri. Two separate field experiment(one each for sowing date effect and threshold level) were conducted to investigate the influence of sowing date on damage and yield loss by <em>P. interrupta</em> on sunflower and the economic threshold level for its control in Maiduguri. The result for influence of sowing date experiment shows that percentage incidence of infestation was highly significant on sunflower sown on the 5<sup>th</sup> July than other planting date except that of 26<sup>th</sup> July. Significantly lower damage was recorded on sunflower sown on 19<sup>th</sup> July than those on the 5<sup>th</sup> and grain yield loss was also significantly higher on 26<sup>th</sup> July sowings than all other dates. The results for economic threshold level experiment indicated that 2.38 and 2.36 beetles/head were the economic threshold level for flowing and milky grain stage respectively and there was a 1:4.9 cost: benefit ratio/ ha. This means that there is a 20% return for every unit of inputs. The result implies that 19<sup>th</sup> of July is the best planting date to reduce infestations, damage and yield loss from <em>P. interrupta</em> in Maiduguri and artificial control measures should be initiated when there are 1.9 to 2.0 beetles/plant.


2016 ◽  
Vol 34 (3) ◽  
pp. 411-422 ◽  
Author(s):  
L. GALON ◽  
C.T. FORTE ◽  
R.L. GABIATTI ◽  
L.L. RADUNZ ◽  
I. ASPIAZÚ ◽  
...  

ABSTRACT The aim of the study was to assess the interference and determine the economic threshold level of beggartick damage on bean crops. Treatments consisted of bean cultivars (IPR Uirapuru, BRS Supremo, BRS Campeiro, Fepagro 26, BRS Esplendor and IPR Tuiuiú) submitted to competition with ten beggartick populations. We evaluated plant population, leaf area, ground cover and shoot dry mass of beggartick. Dry mass of shoots of beggartick fitted better to the hyperbolic model, and grain yield losses due to beggartick interference were estimated satisfactorily by this model. BRS Esplendor and IPR Tuiuiú were more competitive than the others in the presence of beggartick. Sowing of BRS Esplendor, IPR Tuiuiú and Fepagro 26 increases the level of economic damage, justifying the adoption of control measures only for higher densities of beggartick. Increase in grain yield, commercial price of beans, herbicide efficiency and reduction in control cost decrease the threshold level for weed control, justifying application of control measures for lower densities of beggartick.


2016 ◽  
Vol 3 (3) ◽  
pp. 3-11 ◽  
Author(s):  
L. Pylypenko ◽  
K. Kalatur ◽  
J. Hallmann

Aim. To determine the distribution of sugar beet cyst nematode Heterodera schachtii in Ukraine, to defi ne its population density in soil, the degree of damage and the effi ciency of control measures. Methods. Field survey for soil samples, cyst extraction by fl otation and sieving method, light microscopy. Results. The examination of 12,130 ha of agricultural fi elds in six regions of Ukraine, conducted in 2010–2015, recorded the sugar beet cyst nematode to occur in fi ve of them (Kyiv, Chernihiv, Cherkasy, Khmelnytsky, and Vinnytsia), at a total area of 2,572 ha. Taking into consideration the results of previous nematological surveys, the presence of sugar beet cyst nematode has now been documented for 18 regions of Ukraine. In most regions H. schachtii was present in 10–11 % of the examined sugar and seed producing farms with nematode population densities reaching up to 142,000 eggs and juveniles in 100 cc of soil (710-fold above the economic threshold). Conclusions. The main reasons for this wide distribution of H. schachtii in Ukraine are seen in the negligence of prevention measures, unavailability of documented data on its occurrence (missing surveys), crop rotations with over 20 % of host plants, and unavailability of effi cient nematicides and domestic nematode-resistant sugar beet cultivars.


2020 ◽  
pp. 14-27
Author(s):  
Ukoroije, Rosemary Boate ◽  
Abalis, Richard Otayor

Oryctes owariensis (Coleoptera: Scarabaeidae) beetle is a destructive insect pest of both raphia and oil palms, causing damage to the fronds and trunk thus leading to low yields and subsequent death of infested palms. This study was aimed at monitoring the seasonal abundance of the beetle using visual lure or light traps suspended on poles around raphia palm farms designed as experimental sites (Locations A, B, C and D) for a duration of two years (2018 and 2019) in Bayelsa State. Four sampling seasons were engaged in the study: Four months of dry (January- April) and four months of wet (June- September) yearly. The lamps were powered seven consecutive nights monthly. Beetles trapped were counted daily and the numbers recorded. The result showed that the beetle had one generation per year, was nocturnal with seasonal activity spreading out from dusk to dawn. Adult population was highest within the dry sampling months of March to April as the insects mate for breeding, the wet months June and July recorded drastic fall in the number of trapped beetles while August and September recorded no catch. A total of 283 beetles were captured during the dry season against 8 trapped at the wet. Therefore, the high efficiency of the light traps as capture/ monitor tools in ascertaining the seasonal abundance of Oryctes owariensis beetle in raphia palm farms is a possibility for use in Integrated Pest Management Programs for controlling the pest population before they reach the economic threshold level.


2020 ◽  
Vol 31 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Somiahnadar Rajendran

Insects are a common problem in stored produce. The author describes the extent of the problem and approaches to countering it. Stored products of agricultural and animal origin, whether edible or non-edible, are favourite food for insect pests. Durable agricultural produce comprising dry raw and processed commodities and perishables (fresh produce) are vulnerable to insect pests at various stages from production till end-use. Similarly, different animal products and museum objects are infested mainly by dermestids. Insect pests proliferate due to favourable storage conditions, temperature and humidity and availability of food in abundance. In addition to their presence in food commodities, insects occur in storages (warehouses, silos) and processing facilities (flour mills, feed mills). Insect infestation is also a serious issue in processed products and packed commodities. The extent of loss in stored products due to insects varies between countries depending on favourable climatic conditions, and pest control measures adopted. In stored food commodities, insect infestation causes loss in quantity, changes in nutritional quality, altered chemical composition, off-odours, changes in end-use products, dissemination of toxigenic microorganisms and associated health implications. The insects contribute to contaminants such as silk threads, body fragments, hastisetae, excreta and chemical secretions. Insect activity in stored products increases the moisture content favouring the growth of moulds that produce mycotoxins (e.g., aflatoxin in stored peanuts). Hide beetle, Dermestes maculatus infesting silkworm cocoons has been reported to act as a carrier of microsporidian parasite Nosema bombycis that causes pebrine disease in silkworms. In dried fish, insect infestation leads to higher bacterial count and uric acid levels. Insects cause damage in hides and skins affecting their subsequent use for making leather products. The trend in stored product insect pest management is skewing in favour of pest prevention, monitoring, housekeeping and finally control. Hermetic storage system can be supplemented with CO2 or phosphine application to achieve quicker results. Pest detection and monitoring has gained significance as an important tool in insect pest management. Pheromone traps originally intended for detection of infestations have been advanced as a mating disruption device ensuing pest suppression in storage premises and processing facilities; pheromones also have to undergo registration protocols similar to conventional insecticides in some countries. Control measures involve reduced chemical pesticide use and more non-chemical inputs such as heat, cold/freezing and desiccants. Furthermore, there is an expanding organic market where physical and biological agents play a key role. The management options for insect control depend on the necessity or severity of pest incidence. Generally, nonchemical treatments, except heat, require more treatment time or investment in expensive equipment or fail to achieve 100% insect mortality. Despite insect resistance, environmental issues and residue problems, chemical control is inevitable and continues to be the most effective and rapid control method. There are limited options with respect to alternative fumigants and the alternatives have constraints as regards environmental and health concerns, cost, and other logistics. For fumigation of fresh agricultural produce, new formulations of ethyl formate and phosphine are commercially applied replacing methyl bromide. Resistance management is now another component of stored product pest management. In recent times, fumigation techniques have improved taking into consideration possible insect resistance. Insect control deploying nanoparticles, alone or as carriers for other control agents, is an emerging area with promising results. As there is no single compound with all the desired qualities, a necessity has arisen to adopt multiple approaches. Cocktail applications or combination treatments (IGRs plus organophosphorus insecticides, diatomaceous earth plus contact insecticides, nanoparticles plus insecticides/pathogens/phytocompounds and conventional fumigants plus CO2; vacuum plus fumigant) have been proved to be more effective. The future of store product insect pest management is deployment of multiple approaches and/or combination treatments to achieve the goal quickly and effectively.


Author(s):  
Eliza R. Thompson ◽  
Faith S. Williams ◽  
Pat A. Giacin ◽  
Shay Drummond ◽  
Eric Brown ◽  
...  

Abstract Objective: To assess extent of a healthcare-associated outbreak of SARS-CoV-2 and evaluate effectiveness of infection control measures, including universal masking Design: Outbreak investigation including 4 large-scale point-prevalence surveys Setting: Integrated VA Health Care System with 2 facilities and 330 beds Participants: Index patient and 250 exposed patients and staff Methods: We identified exposed patients and staff and classified them as probable and confirmed cases based on symptoms and testing. We performed a field investigation and assessment of patient and staff interactions to develop probable transmission routes. Infection prevention interventions implemented included droplet and contact precautions, employee quarantine, and universal masking with medical and cloth facemasks. Four point-prevalence surveys of patient and staff subsets were conducted using real-time reverse-transcriptase polymerase chain reaction for SARS-CoV-2. Results: Among 250 potentially exposed patients and staff, 14 confirmed cases of Covid-19 were identified. Patient roommates and staff with prolonged patient contact were most likely to be infected. The last potential date of transmission from staff to patient was day 22, the day universal masking was implemented. Subsequent point-prevalence surveys in 126 patients and 234 staff identified 0 patient cases and 5 staff cases of Covid-19, without evidence of healthcare-associated transmission. Conclusions: Universal masking with medical facemasks was effective in preventing further spread of SARS-CoV-2 in our facility in conjunction with other traditional infection prevention measures.


2007 ◽  
Vol 43 (3) ◽  
pp. 289-299 ◽  
Author(s):  
X. BONNEAU ◽  
M. HUSNI ◽  
L. BEAUDOIN-OLLIVIER ◽  
JOKO SUSILO

We demonstrated experimentally that Sufetula, a root-mining insect, has a depressive effect on coconut yields on peat soils. The impact of the pest resulted in a shortfall in earnings that warranted taking control measures. We considered control methods suitable for rehabilitating infested mature coconut plantings and for preserving young coconut plantings. Currently, cultural control is the only effective method. It involves eliminating all identified shelters for the adult insect, i.e. fern cover and heaps of coconut waste (dry fronds and husks). The aim is to achieve totally bare soil, with moss cover that does not attract the pest, or planted with an unattractive intercrop such as pineapple.


2021 ◽  
Vol 10 (7) ◽  
pp. 479
Author(s):  
Yihang Li ◽  
Liyan Xu

The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns as the unit of study rather than functional categories of POIs. In this study, we analyzed the hour-by-hour pedestrian flow data of key locations in Beijing before, during, and after the strict epidemic prevention and control period, and we found that the pedestrian flow patterns differed greatly in different periods by using a composite clustering index; we interpreted the clustering results from two perspectives: groups of pedestrian flow patterns and functional categories. The results show that depending on the specific stage of epidemic prevention and control, the number of unique pedestrian flow patterns decreased from four before the epidemic to two during the strict control stage and then increased to six during the initial resumption of work. The restrictions on movement are correlated with most of the visitations, and the release of restrictions led to an increase in the variety of unique pedestrian flow patterns compared to that in the pre-restriction period, even though the overall number of visitations decreased, indicating that social restrictions led to differences in the flow patterns of POIs and increased social distance.


2021 ◽  
Vol 27 (11) ◽  
pp. 296-302
Author(s):  
Pallavi Saraswat ◽  
Rajnarayan R Tiwari ◽  
Muralidhar Varma ◽  
Sameer Phadnis ◽  
Monica Sindhu

Background/Aims Hospital-acquired infections pose a risk to the wellbeing of both patients and staff. They are largely preventable, particularly if hospital staff have adequate knowledge of and adherence to infection control policies. This study aimed to assess the knowledge, awareness and practice of hospital-acquired infection control measures among hospital staff. Methods A cross-sectional study was conducted among 71 staff members in a tertiary healthcare facility in Karnataka, India. The researchers distributed a questionnaire containing 33 questions regarding knowledge of hospital-acquired infections, awareness of infection control policies and adherence to control practices. The results were analysed using the Statistical Package for the Social Sciences, version 16.0 and a Kruskal–Wallis test. Results Respondents' mean percentage score on the knowledge of hospital-acquired infections section was 72%. Their mean percentage scores on the awareness and practice of infection prevention measures sections were 82% and 77% respectively. Doctors and those with more years of experience typically scored higher. Conclusion The respondents had an acceptable level of knowledge, awareness and adherence to infection control practices. However, continued training is essential in the prevention of hospital-acquired infections. The majority of the respondents stated that they were willing to undertake training in this area, and this opportunity should be provided in order to improve infection control quality.


2015 ◽  
Vol 10 (7) ◽  
pp. 697-701
Author(s):  
Kaur Sandeep ◽  
Kaur Ginday Kulwinder ◽  
Singh Subash

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