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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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Noor Amni Mohamed, Nik Muhammad Faris Nazmie Che Ngah, Azlan Abas, Noraini Talip, Murni Nazira Sarian, Hamizah Shahirah Hamezah, Sarahani Harun and Hamidun Bunawan
Rice tungro disease (RTD), caused by Rice tungro bacilliform virus (RTBV) and Rice tungro spherical virus (RTSV) is one of the most prominent viral diseases in Asian countries. This virus disease problem seems to have been accentuated in those countries ...
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Changcai Yang, Zixuan Teng, Caixia Dong, Yaohai Lin, Riqing Chen and Jian Wang
A high-efficiency, nondestructive, rapid, and automatic crop disease classification method is essential for the modernization of agriculture. To more accurately extract and fit citrus disease image features, we designed a new 13-layer convolutional neura...
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Normaisharah Mamat, Mohd Fauzi Othman, Rawad Abdoulghafor, Samir Brahim Belhaouari, Normahira Mamat and Shamsul Faisal Mohd Hussein
The implementation of intelligent technology in agriculture is seriously investigated as a way to increase agriculture production while reducing the amount of human labor. In agriculture, recent technology has seen image annotation utilizing deep learnin...
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Jorge D. Mantecón
Pág. 291 - 296
During the 2005 and 2006 growing seasons, two field trials were conducted at the INTA Balcarce Experimental Station (Argentina) to study the control of potato early blight (Alternaria solani). Uncut virus-free seed tubers of potato (Solanum tuberosum) ...
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