This paper describes REVIEW, a new retinal vessel reference dataset. This dataset includes 16 images with 193 vessel segments, demonstrating a variety of pathologies and vessel types. The vessel edges are marked by three observers using a special drawing tool. The paper also describes the algorithm used to process these segments to produce vessel profiles, against which vessel width measurement algorithms can be assessed. Recommendations are given for use of the dataset in performance assessment. REVIEW can be downloaded from http://ReviewDB.lincoln.ac.uk.

insects of the family Orthoptera: Acrididae including grasshoppers and locust devastate crops and ecosystems around the globe. The effective control of these insects requires large numbers of trained extension agents who try to spot concentrations of the insects on the ground so that they can be destroyed before they take flight. This is a challenging and difficult task. No automatic detection system is yet available to increase scouting productivity, data scale and fidelity. Here we demonstrate MAESTRO, a novel grasshopper detection framework that deploys deep learning within RBG images to detect insects. MAeStRo uses a state-of-the-art two-stage training deep learning approach. the framework can be deployed not only on desktop computers but also on edge devices without internet connection such as smartphones. MAeStRo can gather data using cloud storage for further research and in-depth analysis. In addition, we provide a challenging new open dataset (GHCID) of highly variable grasshopper populations imaged in inner Mongolia. the detection performance of the stationary method and the mobile App are 78 and 49 percent respectively; the stationary method requires around 1000 ms to analyze a single image, whereas the mobile app uses only around 400 ms per image. The algorithms are purely data-driven and can be used for other detection tasks in agriculture (e.g. plant disease detection) and beyond. This system can play a crucial role in the collection and analysis of data to enable more effective control of this critical global pest.

Callosobruchus maculatus (Fabricius) (Coleoptera: Bruchidae) is a cosmopolitan pest of stored pulses and legumes. Under legume storage conditions neither adults nor larvae drink, with larvae obtaining their hydration from metabolic water. However, lack of water limits female fecundity and longevity, thus females might be expected to preferentially oviposit on seeds with high moisture content so as to minimize water stress on their offspring. This was tested by offering females a choice of seeds that differed in relation to their level of water content. After controlling for differences in seed size, females were found to preferentially oviposit on the driest seeds. Offspring size and larval survival were equivalent on seeds that differed in moisture content, which in combination with the preference to lay on the driest seeds would indicate that the egg laying decisions of C. maculatus females do not function to minimize larval water stress. Analysis of the chemical volatiles released by seeds that differed in their moisture content revealed a greater level of d‐limonene in the environment surrounding high moisture seeds. d‐limonene has known anti‐herbivory properties, thus we suggest the observed female preference for dry seeds may be related to the observed difference in the level of d‐limonene in the immediate vicinity of beans that differ with respect to their moisture content.

Artificial seeds offer an important method to assay the bioactivity of natural and synthetic compounds against insect larvae that develop within the cotyledons of seeds. Here, the efficacy of artificial seeds as a mechanism to deliver bioactive compounds to larvae of the bruchid beetle, Callosobruchus maculatus, was compared to that of black-eyed beans that had been imbibed with the same bioactive compounds: malachite green or the methanolic extract of neem (Azadirachta indica). Females laid an equivalent number of eggs on control artificial seeds in comparison with black-eyed beans, although egg-to-adult survival on artificial seeds was reduced. Manipulation of the hardness of artificial seeds influenced female oviposition decisions, with more eggs laid on the harder seeds, although seed hardness had no effect on egg-to-adult survival. Incorporation of neem extract or malachite green into the artificial seeds resulted in 100 larval mortality, while larval mortality on seeds imbibed with neem extract or malachite green was between 50 and 70 . This suggests incorporation of toxins into artificial seeds, produces a more sensitive assay of compound toxicity in comparison with the method of imbibing seeds and offers a useful method to study of seed-arthropod interactions. © 2013 Springer Science+Business Media Dordrecht

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