[HTML][HTML] A critical review on computer vision and artificial intelligence in food industry

V Kakani, VH Nguyen, BP Kumar, H Kim… - Journal of Agriculture …, 2020 - Elsevier
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated
to leverage the accessibility of big data for active training and yielding operational real time …

[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

[HTML][HTML] Computer vision technology in agricultural automation—A review

H Tian, T Wang, Y Liu, X Qiao, Y Li - Information Processing in Agriculture, 2020 - Elsevier
Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Computer vision and machine learning based approaches for food security: A review

S Sood, H Singh - Multimedia Tools and Applications, 2021 - Springer
With the rapidly increase of population every day, it has become a major issue to fulfill
everyone's need for food products (ie, vegetables, fruits, milk, wheat, etc.) due to limited …

[HTML][HTML] Artificial cognition for applications in smart agriculture: A comprehensive review

M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least
nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …

A review on agricultural advancement based on computer vision and machine learning

A Paul, S Ghosh, AK Das, S Goswami… - Emerging Technology in …, 2020 - Springer
The importance of agriculture in modern society need not be overstated. In order to meet the
huge requirements of food and to mitigate, the conventional problems of cropping smart and …

Technological revolutions in smart farming: Current trends, challenges & future directions

V Sharma, AK Tripathi, H Mittal - Computers and Electronics in Agriculture, 2022 - Elsevier
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Precision agriculture using advanced technology of IoT, unmanned aerial vehicle, augmented reality, and machine learning

V Ponnusamy, S Natarajan - Smart Sensors for Industrial Internet of …, 2021 - Springer
Agriculture is one of the primary processes for quality food production in the globe.
Unfortunately, the productivity of agriculture is very low, and many factors affect the yield …

Artificial intelligence to improve the food and agriculture sector

R Ben Ayed, M Hanana - Journal of Food Quality, 2021 - Wiley Online Library
The world population is expected to reach over 9 billion by 2050, which will require an
increase in agricultural and food production by 70% to fit the need, a serious challenge for …

Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …