[HTML][HTML] The digitization of agricultural industry–a systematic literature review on agriculture 4.0

R Abbasi, P Martinez, R Ahmad - Smart Agricultural Technology, 2022 - Elsevier
Agriculture is considered one of the most important sectors that play a strategic role in
ensuring food security. However, with the increasing world's population, agri-food demands …

Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities

SO Araújo, RS Peres, J Barata, F Lidon, JC Ramalho - Agronomy, 2021 - mdpi.com
Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Design of a novel remote monitoring system for smart greenhouses using the internet of things and deep convolutional neural networks

A Mellit, M Benghanem, O Herrak, A Messalaoui - Energies, 2021 - mdpi.com
To support farmers and improve the quality of crops production, designing of smart
greenhouses is becoming indispensable. In this paper, a novel prototype for remote …

Application of internet of things in image processing

N Kumar, K Kumar, A Kumar - 2022 IEEE Delhi Section …, 2022 - ieeexplore.ieee.org
Image processing and IoT technology use various sensors and camera-based sensors for
processing image data with help of a variety of IoT applications. So far, the IoT and image …

A smart agriculture framework for IoT based plant decay detection using smart croft algorithm

B Gupta, G Madan, AQ Md - Materials Today: Proceedings, 2022 - Elsevier
Internet of things (IOT) is an assuring technology which provides systematic and logical
solutions towards the revolution of various realms. Various researches and analysis have …

Internet of things for crop farming: A review of technologies and applications

LNP Ndjuluwa, JA Adebisi, M Dayoub - Commodities, 2023 - mdpi.com
Climate change, soil erosion, and degradation among others affect the growth and
production of crops. Soil is suffering from intensive farming and unsustainable soil …

Computer Vision for Plant Disease Recognition: A Comprehensive Review

M Dang, H Wang, Y Li, TH Nguyen, L Tightiz… - The Botanical …, 2024 - Springer
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities

S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …

A review of rgb image-based internet of things in smart agriculture

X Li, B Hou, R Zhang, Y Liu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Agriculture is an important pillar of world development, and smart agriculture is an emerging
paradigm in current practices. RGB Images contain rich information and play an increasingly …

Instance-aware plant disease detection by utilizing saliency map and self-supervised pre-training

T Kim, H Kim, K Baik, Y Choi - Agriculture, 2022 - mdpi.com
Plant disease detection is essential for optimizing agricultural productivity and crop quality.
With the recent advent of deep learning and large-scale plant disease datasets, many …