A review on role of artificial intelligence in food processing and manufacturing industry

E Ramirez-Asis, J Vilchez-Carcamo, CM Thakar… - Materials Today …, 2022 - Elsevier
Food is essential for humans. It is critical to decrease food waste, optimize the supply chain,
and enhance food logistics, food delivery, and food safety. To a large extent, artificial …

A Review of Using Artificial Intelligence and Machine Learning in Food and Agriculture Industry

H Pallathadka, M Jawarneh, F Sammy… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Food needs are rising as the world's population grows. Similarly, the food processing
industry is growing at an accelerated pace. Reduced food waste, better supply chain …

Towards application of various machine learning techniques in agriculture

ST Jagtap, K Phasinam, T Kassanuk, SS Jha… - Materials Today …, 2022 - Elsevier
Since the invention of the computer, all available information in every field has been
digitized and made available to people who use computer resources. As a result, massive …

[PDF][PDF] Research methods in machine learning: A content analysis

J Kamiri, G Mariga - … of Computer and Information Technology (2279 …, 2021 - academia.edu
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …

Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)

A Bazrafkan, H Navasca, JH Kim, M Morales… - Remote Sensing, 2023 - mdpi.com
Maturity is an important trait in dry pea breeding programs, but the conventional process
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …

A systematic review on crop-yield prediction through unmanned aerial vehicles

N Hussain, S Sarfraz, S Javed - 2021 16th International …, 2021 - ieeexplore.ieee.org
In recent years, with the increase in big data technologies the Machine learning is an
important decision support tool, smart farming observes the behavior of climate change over …

Machine Learning & Internet of Things in Plant Disease Detection: A comprehensive Review

S Pareek, A Kumar… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Agriculture is crucial to the growth of every country's economy. Due to population growth,
unpredictable weather, and a lack of available resources, meeting the world's food needs …

Assessing lentil maturity using machine learning models and UASs mounted multispectral and LIDAR sensors

A Bazrafkan, H Navasca, M Morales… - 2023 ASABE Annual …, 2023 - elibrary.asabe.org
Accurately measuring the maturity of lentils is an indispensable element of lentil breeding
program. However, the conventional manual approach to measuring plant maturity can be …

Ant lion optimization in deep neural network for forecasting the rice crop yield based on soil nutrients

RK Dhanaraj, M Chandraprabha - Progress in Artificial Intelligence, 2024 - Springer
Agriculture is the backbone of the Indian economy; more over half of the world's people
depend on rice production. Environmental conditions, quality of soil, landscapes, and …

Internet of Things and Dew Computing-Based System for Smart Agriculture

S Bera, T Dey, S Ghosh, A Mukherjee - Dew Computing: The Sustainable …, 2023 - Springer
Internet of Things has revolutionised our daily life by providing varied smart applications.
Smart healthcare, smart home monitoring, smart city, smart retail, etc., are various sectors …