Trends in vision-based machine learning techniques for plant disease identification: A systematic review

PS Thakur, P Khanna, T Sheorey, A Ojha - Expert Systems with …, 2022 - Elsevier
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Remote sensing and machine learning for crop water stress determination in various crops: a critical review

SS Virnodkar, VK Pachghare, VC Patil, SK Jha - Precision Agriculture, 2020 - Springer
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 …

A diverse ensemble classifier for tomato disease recognition

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 …

[PDF][PDF] 高光谱遥感影像降维: 进展, 挑战与展望

苏红军 - 遥感学报, 2022 - ygxb.ac.cn
高光谱遥感影像数据具有高维特征, 信息冗余, 不确定性显著, 小样本, 空谱合一等特征,
对其进行数据处理面临巨大挑战, 高光谱遥感影像降维是高光谱遥感的重要研究方向之一 …

A systematic literature review on plant disease detection: Motivations, classification techniques, datasets, challenges, and future trends

W Shafik, A Tufail, A Namoun, LC De Silva… - Ieee …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required

BD Grieve, T Duckett, M Collison, L Boyd, J West… - Global Food …, 2019 - Elsevier
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 …

[HTML][HTML] Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net

HM Sahin, T Miftahushudur, B Grieve, H Yin - Computers and Electronics in …, 2023 - Elsevier
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 …

Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities

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 …

Early detection of plant virus infection using multispectral imaging and spatial–spectral machine learning

Y Peng, MM Dallas, JT Ascencio-Ibáñez, JS Hoyer… - Scientific Reports, 2022 - nature.com
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 …

Comparison of selected dimensionality reduction methods for detection of root-knot nematode infestations in potato tubers using hyperspectral imaging

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 …