Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Post-translational modifications in proteins: resources, tools and prediction methods
S Ramazi, J Zahiri - Database, 2021 - academic.oup.com
Posttranslational modifications (PTMs) refer to amino acid side chain modification in some
proteins after their biosynthesis. There are more than 400 different types of PTMs affecting …
proteins after their biosynthesis. There are more than 400 different types of PTMs affecting …
Breeding for disease resistance in soybean: a global perspective
Key message This review provides a comprehensive atlas of QTLs, genes, and alleles
conferring resistance to 28 important diseases in all major soybean production regions in …
conferring resistance to 28 important diseases in all major soybean production regions in …
A review on antimicrobial peptides databases and the computational tools
Abstract Antimicrobial Peptides (AMPs) have been considered as potential alternatives for
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
infection therapeutics since antibiotic resistance has been raised as a global problem. The …
Soybean cyst nematode detection and management: a review
Soybeans play a key role in global food security. US soybean yields, which comprise 32% of
the total soybeans planted in the world, continue to experience unprecedented grain loss …
the total soybeans planted in the world, continue to experience unprecedented grain loss …
Data analytics for crop management: a big data view
N Chergui, MT Kechadi - Journal of Big Data, 2022 - Springer
Recent advances in Information and Communication Technologies have a significant impact
on all sectors of the economy worldwide. Digital Agriculture appeared as a consequence of …
on all sectors of the economy worldwide. Digital Agriculture appeared as a consequence of …
A systematic review of recent machine learning techniques for plant disease identification and classification
Plant disease management in agriculture science is the primary concern for every country,
as the food demand is increasing fast due to an increase in population. Furthermore …
as the food demand is increasing fast due to an increase in population. Furthermore …
Machine learning and deep learning for plant disease classification and detection
Precision agriculture is a rapidly developing field aimed at addressing current concerns
about agricultural sustainability. Machine learning is the cutting edge technology …
about agricultural sustainability. Machine learning is the cutting edge technology …
[HTML][HTML] Plant disease recognition in a low data scenario using few-shot learning
M Rezaei, D Diepeveen, H Laga, MGK Jones… - … and electronics in …, 2024 - Elsevier
Plant disease is one of the major problems in agriculture. Diseases damage plants, reduce
yields and lower the quality of the produce. Traditional approaches to detecting plant …
yields and lower the quality of the produce. Traditional approaches to detecting plant …
A review of plant disease detection systems for farming applications
The globe and more particularly the economically developed regions of the world are
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …