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Muhammad Usama Younas, Irshad Ahmad, Muhammad Qasim, Zainab Ijaz, Nimra Rajput, Saima Parveen Memon, Waqar UL Zaman, Xiaohong Jiang, Yi Zhang and Shimin Zuo
Rice is a vital component in the diets of many people worldwide, supplying necessary calories for subsistence. Nevertheless, the yield of this crucial agricultural crop is consistently hindered by a range of biotic stresses. Out of these, rice blast, cla...
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Dongxue Zhao, Yingli Cao, Jinpeng Li, Qiang Cao, Jinxuan Li, Fuxu Guo, Shuai Feng and Tongyu Xu
Leaf blast is recognized as one of the most devastating diseases affecting rice production in the world, seriously threatening rice yield. Therefore, early detection of leaf blast is extremely important to limit the spread and propagation of the disease....
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Huiru Zhou, Qiang Lai, Qiong Huang, Dingzhou Cai, Dong Huang and Boming Wu
The severity of rice blast and its impacts on rice yield are closely related to the inoculum quantity of Magnaporthe oryzae, and automatic detection of the pathogen spores in microscopic images can provide a rapid and effective way to quantify pathogen i...
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Xiaoyan Guo, Yuanzhen Ou, Konghong Deng, Xiaolong Fan, Rui Jiang and Zhiyan Zhou
Fungal spores that cause infectious fungal diseases in rice are mainly transmitted through air. The existing fixed, portable or vehicle-mounted fungal spore collection devices used for rice infectious diseases have several disadvantages, such as low effi...
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Yeyang Fan, Zhenhua Zhang, Derun Huang, Tingxu Huang, Hongfei Wang, Jieyun Zhuang and Yujun Zhu
Rice blast is arguably the most devastating fungal disease of rice. Utilization of resistance genes to breed resistant cultivars is one of the most economical and environmentally friendly approaches to combat the disease. Pi25, a major resistance gene co...
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Yujia Zhang, Luteng Zhong, Yu Ding, Hongfeng Yu and Zhaoyu Zhai
Rice is a staple food for over half of the global population, but it faces significant yield losses: up to 52% due to leaf blast disease and brown spot diseases, respectively. This study aimed at proposing a hybrid architecture, namely ResViT-Rice, by ta...
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Hua Yang, Xingquan Deng, Hao Shen, Qingfeng Lei, Shuxiang Zhang and Neng Liu
In recent years, the domain of diagnosing plant afflictions has predominantly relied upon the utilization of deep learning techniques for classifying images of diseased specimens; however, these classification algorithms remain insufficient for instances...
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Jiapeng Cui and Feng Tan
Rice diseases are extremely harmful to rice growth, and achieving the identification and rapid classification of rice disease spots is an essential means to promote intelligent rice production. However, due to the large variety of rice diseases and the s...
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Rutuja Rajendra Patil, Sumit Kumar, Shwetambari Chiwhane, Ruchi Rani and Sanjeev Kumar Pippal
The pathogens such as fungi and bacteria can lead to rice diseases that can drastically impair crop production. Because the illness is difficult to control on a broad scale, crop field monitoring is one of the most effective methods of control. It allows...
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Chaiwat Netpakdee, Sittiwut Mathasiripakorn, Arthit Sribunrueang, Sompong Chankaew, Tidarat Monkham, Siwaret Arikit and Jirawat Sanitchon
Rice blast (BL) caused by Magnaporthe oryzae is a fungal disease causing significant yield losses in rice production worldwide. To overcome the breakdown of resistance by the rapid adaptation of pathogens, identifying resistance (R) genes or QTLs in indi...
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