[HTML][HTML] Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet

ME Mondejar, R Avtar, HLB Diaz, RK Dubey… - Science of The Total …, 2021 - Elsevier
Digitalization provides access to an integrated network of unexploited big data with potential
benefits for society and the environment. The development of smart systems connected to …

A systematic review of IoT solutions for smart farming

E Navarro, N Costa, A Pereira - Sensors, 2020 - mdpi.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

Deep learning and computer vision will transform entomology

TT Høye, J Ärje, K Bjerge… - Proceedings of the …, 2021 - National Acad Sciences
Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …

Innovation can accelerate the transition towards a sustainable food system

M Herrero, PK Thornton, D Mason-D'Croz, J Palmer… - Nature Food, 2020 - nature.com
Future technologies and systemic innovation are critical for the profound transformation the
food system needs. These innovations range from food production, land use and emissions …

Insect pest monitoring with camera-equipped traps: strengths and limitations

M Preti, F Verheggen, S Angeli - Journal of pest science, 2021 - Springer
Integrated pest management relies on insect pest monitoring to support the decision of
counteracting a given level of infestation and to select the adequate control method. The …

Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance

AM Piper, J Batovska, NOI Cogan, J Weiss… - …, 2019 - academic.oup.com
Trap-based surveillance strategies are widely used for monitoring of invasive insect species,
aiming to detect newly arrived exotic taxa as well as track the population levels of …

Applications of new technologies for monitoring and predicting grains quality stored: Sensors, internet of things, and artificial intelligence

É Lutz, PC Coradi - Measurement, 2022 - Elsevier
The objective of this review was to evaluate current studies that addressed the use of
sensors in stored grains, Intenet of Things (IoT) precepts and Machine Learning (ML) …

Taxonomy, Biology, Symbionts, Omics, and Management of Rhynchophorus Palm Weevils (Coleoptera: Curculionidae: Dryophthorinae)

MS Hoddle, B Antony, HAF El-Shafie… - Annual Review of …, 2024 - annualreviews.org
Palm weevils, Rhynchophorus spp., are destructive pests of native, ornamental, and
agricultural palm species. Of the 10 recognized species, two of the most injurious species …

Improved biosecurity surveillance of non-native forest insects: a review of current methods

TM Poland, D Rassati - Journal of Pest Science, 2019 - Springer
Biosecurity surveillance has been highlighted as a key activity to discover non-native
species at the initial stage of invasion. It provides an opportunity for rapidly initiating …

Remote insects trap monitoring system using deep learning framework and IoT

B Ramalingam, RE Mohan, S Pookkuttath, BF Gómez… - Sensors, 2020 - mdpi.com
Insect detection and control at an early stage are essential to the built environment (human-
made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food …