Automated Remote Insect surveillance at a Global Scale and the Internet of Things

Abstract

17Τhe concept of remote insect surveillance at large spatial scales for a number of serious insect 18 pests of agricultural and medical importance is introduced in a series of our papers. We consuming, an expert is often needed for sufficient accuracy and can sometimes raise safety 27 issues for humans. These disadvantages reduce the extent to which manual insect monitoring 28 is applied and therefore its accuracy, which finally results in significant crop loss due to damage 29 caused by pests. With the term 'surveillance' we intend to push the monitoring idea to and qualitative crop losses by many the most significant agricultural pests. 42We argue that smart traps communicating through IoT to report in real-time the level of the 43 pest population from the field straight to a human controlled agency can, in the very near future, 44have a profound impact on the decision making process in crop protection and will be 45 disruptive of existing manual practices. In the present study, three cases are investigated :

Landscape and meteorological determinants of malaria vectors’ presence and abundance in the rural health district of Korhogo, Côte d’Ivoire, 2016- 2018, and comparison with the less anthropized area of Diébougou, Burkina Faso

“…It should be remembered that the WHO now recognizes vector surveillance as a key feature of vector and malaria control (63) There is hence an urgent need for the implementation of mosquito surveillance systems that collect consistent, long-term, small-spatial-scale entomological data, and the development of an associated centralized, Findable, Accessible, Interoperable, and Reusable (FAIR) database. Recent technological developments in electronics, artificial intelligence, computer science and telecommunications show great potential for building surveillance systems with such features, for example by developing smart and connected mosquito traps that can autonomously count and identify mosquitoes and transmit the data wirelessly (64).…”

Recognition and Early Stage Detection of Phytophthora in a Crop Farm Using IoT

“…"Potamitis, I., Eliopoulos, P. and Rigakis, I" in 2017 [11] In many of our records, a large number of extreme insect plagues of agricultural and health importance were studied in a broad spatial scale as the principle of remote insect control. The trap is used to make the trap, the timeline, the GPS tag and where necessary, the inbound insect species from the wing beat safe to inject.…”

Use of Unmanned Aerial Vehicles for Agricultural Applications with Emphasis on Crop Protection: Three Novel Case - studies

“…The use of UAVs is becoming increasingly common in carrying out this task mainly because of their speed, accuracy and effectiveness in the spraying operation [21,22] . In our proof-of-concept scenario, an e-trap [23,24,25] calls a UAV (in practice this would be a spraying UAV), and submits its coordinates. The UAV accepts the call, flies to the given coordinates and performs a rectangular spraying flight having as its center the e-trap (i.e.…”