Insect Pest Detection, Migration and Monitoring Using Radar and LiDAR Systems

2020 ◽  
pp. 61-76 ◽  
Author(s):  
Mahaveer Dwivedi ◽  
Malik Hashmat Shadab ◽  
V. R. Santosh
Keyword(s):  
Insect Pest ◽  
Pest Detection

Automatic greenhouse insect pest detection and recognition based on a cascaded deep learning classification method

2020 ◽  
Author(s):  
Dan Jeric Arcega Rustia ◽  
Jun‐Jee Chao ◽  
Lin‐Ya Chiu ◽  
Ya‐Fang Wu ◽  
Jui‐Yung Chung ◽  
...  
Keyword(s):  
Deep Learning ◽  
Insect Pest ◽  
Classification Method ◽  
Pest Detection ◽  
Detection And Recognition

Application of agricultural insect pest detection and control map based on image processing analysis

2020 ◽  
Vol 38 (1) ◽  
pp. 379-389 ◽  
Author(s):  
Leilei Deng ◽  
Zhenghao Wang ◽  
Chuang Wang ◽  
Yifan He ◽  
Tao Huang ◽  
...  
Keyword(s):  
Image Processing ◽  
Insect Pest ◽  
Pest Detection ◽  
And Control

Surveillance techniques for non-native insect pest detection*

EPPO Bulletin ◽  
2012 ◽  
Vol 42 (1) ◽  
pp. 95-101 ◽  
Author(s):  
S. Quilici ◽  
P. Donner ◽  
A. Battisti
Keyword(s):  
Insect Pest ◽  
Pest Detection

scholarly journals An Enhanced Insect Pest Counter Based on Saliency Map and Improved Non-Maximum Suppression

Insects ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 705
Author(s):  
Qingwen Guo ◽  
Chuntao Wang ◽  
Deqin Xiao ◽  
Qiong Huang
Keyword(s):  
Insect Pests ◽  
Insect Pest ◽  
Saliency Map ◽  
Detection Methods ◽  
Map Building ◽  
Pest Monitoring ◽  
Art Object ◽  
Pest Detection ◽  
Yellow Sticky Trap ◽  
Bounding Boxes

Accurately counting the number of insect pests from digital images captured on yellow sticky traps remains a challenge in the field of insect pest monitoring. In this study, we develop a new approach to counting the number of insect pests using a saliency map and improved non-maximum suppression. Specifically, as the background of a yellow sticky trap is simple and the insect pest object is small, we exploit a saliency map to construct a region proposal generator including saliency map building, activation region formation, background–foreground classifier, and tune-up boxes involved in region proposal generation. For each region proposal, a convolutional neural network (CNN) model is used to classify it as a specific insect pest class, resulting in detection bounding boxes. By considering the relationship between detection bounding boxes, we thus develop an improved non-maximum suppression to sophisticatedly handle the redundant detection bounding boxes and obtain the insect pest number through counting the handled detection bounding boxes, each of which covers one insect pest. As this insect pest counter may miscount insect pests that are close to each other, we further integrate the widely used Faster R-CNN with the mentioned insect pest counter to construct a dual-path network. Extensive experimental simulations show that the two proposed insect pest counters achieve significant improvement in terms of F1 score against the state-of-the-art object detectors as well as insect pest detection methods.

THE SUCCESS OF THE LUCERNE MESSAGE IN MARLBOROUGH

1981 ◽  
pp. 179-183
Author(s):  
A.J. Cresswell
Keyword(s):  
North America ◽  
Weed Control ◽  
Seed Yield ◽  
Insect Pest ◽  
Fold Increase ◽  
Plant Spacing ◽  
Insect Pest Control ◽  
One Year ◽  
Seed Yields ◽  
New Cultivars

This paper, as well as being a testimonial to the benefit the writer has received from the Grassland Association, shows how the knowledge of scientists has been used to increase lucerne seed yields by methods of growing resistant cultivars especially for seed production as opposed to growing for hay, silage or grazing. It shows how new cultivars can be multiplied quickly by growing two crops in one year, one in each hemisphere, by using low seeding rates, wide plant spacing and very good weed control. Increased flowering of the crop has been achieved by the use of boron and the choice of time of closing; better pollination has been achieved by the use of more efficient bees - two varieties of which have been imported from North America. Weed and insect pest control and the use of a desiccant at harvest are contributing to a four-fold increase in seed yield, which should double again soon,

Insect Pest Management in Stored Products

2020 ◽  
Vol 31 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Somiahnadar Rajendran
Keyword(s):  
Pest Management ◽  
Insect Pests ◽  
Insect Pest ◽  
Control Measures ◽  
Stored Products ◽  
Insect Pest Management ◽  
Insect Infestation ◽  
Combination Treatments ◽  
Agricultural Produce ◽  
Food Commodities

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.

Sign in / Sign up

Export Citation Format

Share Document