Assessing the influence of artificial intelligence on agri-food supply chain performance: the mediating effect of distribution network efficiency DOI
El Mehdi El Bhilat,

Asmae El Jaouhari,

Lalla Saadia HAMIDI

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123149 - 123149

Опубликована: Дек. 21, 2023

Язык: Английский

Recent advances in environmental and agricultural applications of hydrochars: A review DOI

Maryam Nawfal Mahmood Al-Nuaimy,

Nangyallai Azizi, Yahya Nural

и другие.

Environmental Research, Год журнала: 2023, Номер 250, С. 117923 - 117923

Опубликована: Дек. 16, 2023

Язык: Английский

Процитировано

39

AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain DOI Open Access

Sasmita Padhy,

Majed Alowaidi, Sachikanta Dash

и другие.

Processes, Год журнала: 2023, Номер 11(3), С. 757 - 757

Опубликована: Март 3, 2023

Every aspect of the 21st century has undergone a revolution because Internet Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring state crops moisture level soil real-time to using drones help with chores such as spraying pesticides. The extensive integration both recent IT conventional agriculture brought phase 4.0, often known agriculture. Agriculture intelligence automation addressed by However, advancement about digital technology, information security challenges cannot be overlooked. article begins providing an overview development 4.0 pros cons. This study focused on layered architectural design, identified issues, presented demands upcoming prospects. In addition that, we propose framework for that combines blockchain fog computing, software-defined networking. suggested Ethereum networking open-source IoT platform. It is then tested three cases under DDoS attack. results performance analysis show overall, proposed performed well.

Язык: Английский

Процитировано

35

Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review DOI Creative Commons
Md Wadud Ahmed,

Sahir Junaid Hossainy,

Alin Khaliduzzaman

и другие.

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2023, Номер 22(6), С. 4378 - 4403

Опубликована: Авг. 21, 2023

Abstract The egg is considered one of the best sources dietary protein, and has an important role in human growth development. With increase world's population, per capita consumption also increasing. Ground‐breaking technological developments have led to numerous inventions like Internet Things (IoT), various optical sensors, robotics, artificial intelligence (AI), big data, cloud computing, transforming conventional industry into a smart sustainable industry, known as Egg Industry 4.0 (EI 4.0). EI concept potential improve automation, enhance biosecurity, promote safeguarding animal welfare, intelligent grading quality inspection, efficiency. For transformation, it analyze available technologies, latest research, existing limitations, prospects. This review examines non‐destructive sensing technologies for industry. It provides information insights on different components 4.0, including emerging production, grading. Furthermore, drawbacks current workarounds, future trends were critically analyzed. can help policymakers, industrialists, academicians better understand integration automation. productivity, control, optimize resource management toward development

Язык: Английский

Процитировано

35

A comprehensive review of machine vision systems and artificial intelligence algorithms for the detection and harvesting of agricultural produce DOI Creative Commons
Guduru Dhanush, Narendra Khatri, Sandeep Kumar

и другие.

Scientific African, Год журнала: 2023, Номер 21, С. e01798 - e01798

Опубликована: Июль 7, 2023

Every nation's economic development depends heavily on agriculture. Fulfilling the current population's need for food is becoming increasingly difficult because of factors including population growth, frequent climate change, and a lack resources. However, agriculture sector's biggest problems are trained workers, urbanization, available labour. Automation in essential to provide food, fibre, fuels rapidly growing population. Since harvesting critical step farming, authors present systematic review machine vision systems artificial intelligence algorithms detecting agricultural produce this article. The areas that being concentrated include systems, sensors, different image processing utilized detection harvesting. Review various types sensors used automated It demonstrates how several 3D methods, which were obtain position, orientation, point cloud fruit or crop, function compare them. Furthermore, it compares deployed precision This article shows knowledge-based can boost quality.

Язык: Английский

Процитировано

30

Assessing the influence of artificial intelligence on agri-food supply chain performance: the mediating effect of distribution network efficiency DOI
El Mehdi El Bhilat,

Asmae El Jaouhari,

Lalla Saadia HAMIDI

и другие.

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123149 - 123149

Опубликована: Дек. 21, 2023

Язык: Английский

Процитировано

30