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 …
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 …
industry is growing at an accelerated pace. Reduced food waste, better supply chain …
Towards application of various machine learning techniques in agriculture
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 …
digitized and made available to people who use computer resources. As a result, massive …
[PDF][PDF] Research methods in machine learning: A content analysis
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 …
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)
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 …
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
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 …
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 …
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 …
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 …
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 …
Smart healthcare, smart home monitoring, smart city, smart retail, etc., are various sectors …