The remote sensing (RS) technique is less cost-and labour-intensive than ground-based surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …
M Astani, M Hasheminejad, M Vaghefi - Computers and Electronics in …, 2022 - Elsevier
Plant health and accurate and timely diagnosis of plant diseases are of great importance for human health and the economy of the farmers in the world. Therefore, researchers in the …
Plant pests and diseases are a significant threat to almost all major types of plants and global food security. Traditional inspection across different plant fields is time-consuming …
Threats to global food security from multiple sources, such as population growth, ageing farming populations, meat consumption trends, climate-change effects on abiotic and biotic …
Weeds are one of the most detrimental challenges to agriculture causing significant losses to beneficial yield potentials as they compete with crops for water, nutrients and sunlight …
T Chen, L Lv, D Wang, J Zhang, Y Yang, Z Zhao… - ACM Computing …, 2024 - dl.acm.org
With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages …
Cassava brown streak disease (CBSD) is an emerging viral disease that can greatly reduce cassava productivity, while causing only mild aerial symptoms that develop late in infection …
J Lapajne, M Knapič, U Žibrat - Sensors, 2022 - mdpi.com
Hyperspectral imaging is a popular tool used for non-invasive plant disease detection. Data acquired with it usually consist of many correlated features; hence most of the acquired …