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Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
DI Patrício, R Rieder - Computers and electronics in agriculture, 2018 - Elsevier
Grain production plays an important role in the global economy. In this sense, the demand
for efficient and safe methods of food production is increasing. Information Technology is …
for efficient and safe methods of food production is increasing. Information Technology is …
Meat quality evaluation based on computer vision technique: A review
Nowadays people tend to include more meat in their diet thanks to the improvement in
standards of living as well as an increase in awareness of meat nutritive values. To ensure …
standards of living as well as an increase in awareness of meat nutritive values. To ensure …
Enhancing traceability of wheat quality through the supply chain
M Nadimi, E Hawley, J Liu, K Hildebrand… - … Reviews in Food …, 2023 - Wiley Online Library
With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …
the next few decades. One of the key tools to address such growing food demand is …
X‐ray computed tomography for quality inspection of agricultural products: A review
Z Du, Y Hu, N Ali Buttar, A Mahmood - Food science & nutrition, 2019 - Wiley Online Library
The quality of agricultural products relates to the internal structure, which has long been a
matter of interest in agricultural scientists. However, inspection methods of the opaque …
matter of interest in agricultural scientists. However, inspection methods of the opaque …
When information freshness meets service latency in federated learning: A task-aware incentive scheme for smart industries
For several industrial applications, a sole data owner may lack sufficient training samples to
train effective machine learning based models. As such, we propose a federated learning …
train effective machine learning based models. As such, we propose a federated learning …
Current progress on innovative pest detection techniques for stored cereal grains and thereof powders
L Zhu, Q Ma, J Chen, G Zhao - Food Chemistry, 2022 - Elsevier
For stored grains and their powders, pest infestation has always been a knotty problem and
thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate …
thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate …
[HTML][HTML] Predicting fruit's sweetness using artificial intelligence—case study: orange
The manual classification of oranges according to their ripeness or flavor takes a long time;
furthermore, the classification of ripeness or sweetness by the intensity of the fruit's color is …
furthermore, the classification of ripeness or sweetness by the intensity of the fruit's color is …
Non-destructive quality-detection techniques for cereal grains: a systematic review
Grain quality involves the appearance, nutritional, and safety attributes of grains. With the
improvement of people's living standards, problems pertaining to the quality of grains have …
improvement of people's living standards, problems pertaining to the quality of grains have …
The use of neural modelling to estimate the methane production from slurry fermentation processes
Slurry constitutes an important substrate, increasingly often forming part of biogas
production in biogas plants due to the significant content of methane in biogas produced …
production in biogas plants due to the significant content of methane in biogas produced …
[HTML][HTML] An online automatic sorting system for defective Ginseng Radix et Rhizoma Rubra using deep learning
Q Xue, P Miao, K Miao, Y Yu, Z Li - Chinese Herbal Medicines, 2023 - Elsevier
Objective To establish a deep-learning architecture based on faster region-based
convolutional neural networks (Faster R-CNN) algorithm for detection and sorting of red …
convolutional neural networks (Faster R-CNN) algorithm for detection and sorting of red …