Farmers around the world face challenge of growing more food for increasing population. On top that, external threats such as pests (weeds and insects) pose a threat to crop production it is necessary take early steps reduce risk. This paper presents semantic segmentation canola field images collected under natural conditions. The dataset contains four unbalanced classes; background, crop, weed...

The urbanization of agriculture sector leads to an increased chemical affliction on the environment. Pesticides are chemicals used in protect plants from weeds, pests or diseases and human being various diseases. In this review, literature different types pesticides, pesticide usage its toxic effects mammalian systems summarized. Most commonly pesticides fungicides, insecticides herbicides cont...

In 2008, agricultural producers planted more than 80% of US cotton and corn acreage and more than 90% of soybean acreage to transgenic glyphosate-tolerant, Roundup Ready® (RR) seed varieties (US Department of Agriculture Agricultural Marketing Service [USDA AMS], 2008; USDA National Agricultural Statistics Service [NASS], 2008). Many studies report significant pecuniary and non-pecuniary benefi...

Yang, C.-C., Prasher, S.O., Landry, J.-A., Ramaswamy, H.S. and DiTommaso. 2000. Application of artificial neural networks in image recognition and classification of crop and weeds. Can. Agric. Eng. 42:147-152. The objective of this study was to develop a backpropagation artificial neural network (ANN) model that could distinguish young corn plants from weeds. Although only the colour indices as...

T he use of plants as crops to produce food, fiber, and other products has an amazing record of environmental safety. The greatest risk with any plant deliberately introduced into a new environment is its potential for inva-siveness beyond the planted area—to become a weed—but even here crop plants have an outstanding record of safety. Crop plants typically must be managed as " weedy " voluntee...

to study the effects of plant density and nitrogen rates on the ability of canola (regent  cobra; an inbred variety) to compete with weeds, an experiment was conducted as a factorial complete block design with four replications. the treatments included four levels of plant density at 150, 190, 230, and 270 plants m-2, and four levels of nitrogen (n) fertil-izer at 0, 46, 92, and 138 kg ha–1. r...

Site-specific weed management requires sensing of the actual weed infestation levels in agricultural fields to adapt the management accordingly. However, sophisticated sensor systems are not yet in wider practical use, since they are not easily available for the farmers and their handling as well as the management practice requires additional efforts. A new sensor-based weed detection method is...

Loss in seed yield and therefore decrease in plant fitness due to simultaneous attacks by multiple herbivores is not necessarily additive, as demonstrated in evolutionary studies on wild plants. However, it is not clear how this transfers to crop plants that grow in very different conditions compared to wild plants. Nevertheless, loss in crop seed yield caused by any single pest is most often s...

Assessing risk from a novel pest or pathogen requires knowing which local plant species are susceptible. Empirical data on the local host range of novel pests are usually lacking, but we know that some pests are more likely to attack closely related plant species than species separated by greater evolutionary distance. We use the Global Pest and Disease Database, an internal database maintained...

The development of UAV (unmanned aerial vehicle) imaging technologies for precision farming applications is rapid, and new studies are published frequently. In cases where measurements based on imaging, there the need to have ground truth or reference data in order develop reliable applications. However, several use such as pests, weeds, diseases detection, can be subjective relatively difficul...