نتائج البحث

Integrating IoT for Soil Monitoring and Hybrid Machine Learning in Predicting Tomato Crop Disease in a Typical South India Station.

• Authors : Babu GR; Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600602, India.; Gokuldhev M

Subjects: Solanum lycopersicum*/Solanum lycopersicum*/Solanum lycopersicum*/growth & development ; Machine Learning* ; Soil*/Soil*/Soil*/chemistry

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Sep 24; Vol. 24 (19). Date of Electronic Publication: 2024 Sep 24.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer.

• Authors : Zhu D; School of Computer Science, South China Normal University, Guangzhou 510631, China.; School of Software, South China Normal University, Guangzhou 510631, China.

Subjects: Agriculture* ; Fabaceae*; Electric Power Supplies

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 29; Vol. 23 (13). Date of Electronic Publication: 2023 Jun 29.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

Development of a Lightweight Crop Disease Image Identification Model Based on Attentional Feature Fusion.

• Authors : Cheng Z; School of Computer Science and Technology, Anhui University of Technology, Ma'anshan 243032, China.; Liu M

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Neural Networks, Computer*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Jul 25; Vol. 22 (15). Date of Electronic Publication: 2022 Jul 25.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

Residual Self-Calibration and Self-Attention Aggregation Network for Crop Disease Recognition.

• Authors : Zhang Q; School of Science, Wuhan University of Technology, Wuhan 430070, China.; Sun B

Subjects: Algorithms* ; Attention*; Calibration

• Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2021 Aug 09; Vol. 18 (16). Date of Electronic Publication: 2021 Aug 09.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601

تفاصيل العنوان

Pathogen-informed breeding for crop disease resistance.

• Authors : Li Q; Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China.; Department of Plant Pathology, Nanjing Agricultural University, Nanjing, 210095, China.

Subjects: Host-Pathogen Interactions* ; Plant Breeding*; Crops, Agricultural/Crops, Agricultural/Crops, Agricultural/*immunology

• Source: Journal of integrative plant biology [J Integr Plant Biol] 2021 Feb; Vol. 63 (2), pp. 305-311.Publisher: Wiley-Blackwell Pub Country of Publication: China (Republic : 1949- ) NLM ID: 101250502 Publication Model: Print Cited Medium: Internet

تفاصيل العنوان

Crop Disease Classification on Inadequate Low-Resolution Target Images.

• Authors : Wen J; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.; Shi Y

Subjects: Crops, Agricultural* ; Plant Diseases*; Agriculture

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Aug 16; Vol. 20 (16). Date of Electronic Publication: 2020 Aug 16.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

Few-Shot Image Classification of Crop Diseases Based on Vision-Language Models.

• Authors : Zhou Y; School of Information Engineering, China University of Geosciences, Beijing 100083, China.; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

Subjects: Crops, Agricultural* ; Algorithms* ; Plant Diseases*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Sep 21; Vol. 24 (18). Date of Electronic Publication: 2024 Sep 21.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

تفاصيل العنوان

A deep learning model for predicting risks of crop pests and diseases from sequential environmental data.

• Authors : Lee S; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.; Yun CM

• Source: Plant methods [Plant Methods] 2023 Dec 14; Vol. 19 (1), pp. 145. Date of Electronic Publication: 2023 Dec 14.Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: Electronic Cited Medium: Print ISSN: 1746-4811

تفاصيل العنوان

UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN.

• Authors : Pansy DL; Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, 603 203, India. .; Murali M

Subjects: Mangifera*; Animals ; Unmanned Aerial Devices

• Source: Environmental monitoring and assessment [Environ Monit Assess] 2023 Aug 31; Vol. 195 (9), pp. 1120. Date of Electronic Publication: 2023 Aug 31.Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959

تفاصيل العنوان

FgCsn12 Is Involved in the Regulation of Ascosporogenesis in the Wheat Scab Fungus Fusarium graminearum .

• Authors : Jiang H; Shandong Key Laboratory of Plant Virology, Institute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan 250100, China.; Zhang Y

Subjects: Fusarium*; 3' Untranslated Regions ; Fungal Proteins/Fungal Proteins/Fungal Proteins/genetics Fusarium graminearum

• Source: International journal of molecular sciences [Int J Mol Sci] 2022 Sep 09; Vol. 23 (18). Date of Electronic Publication: 2022 Sep 09.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067

تفاصيل العنوان