Výsledky vyhledávání - "Pushkar Gole"

Akademický článek

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

Autor: Punam Bedi, Pushkar Gole, Sudeep Marwaha

Publikováno v: Frontiers in Plant Science, Vol 14 (2024)

Plant disease diagnosis with estimation of disease severity at early stages still remains a significant research challenge in agriculture. It is helpful in diagnosing plant diseases at the earliest so that timely action can be taken for curing the di

Externí odkaz: https://doaj.org/article/3ee2345f99e34aeb9b709cebd1dda704

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Akademický článek

TrIncNet: a lightweight vision transformer network for identification of plant diseases

Autor: Pushkar Gole, Punam Bedi, Sudeep Marwaha, Md. Ashraful Haque, Chandan Kumar Deb

Publikováno v: Frontiers in Plant Science, Vol 14 (2023)

In the agricultural sector, identifying plant diseases at their earliest possible stage of infestation still remains a huge challenge with respect to the maximization of crop production and farmers’ income. In recent years, advanced computer vision

Externí odkaz: https://doaj.org/article/ebcdaee64f4c4dbc805851e42d414536

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Akademický článek

Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network

Autor: Punam Bedi, Pushkar Gole

Publikováno v: Artificial Intelligence in Agriculture, Vol 5, Iss , Pp 90-101 (2021)

Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of the most challenging problems in agriculture. If the diseases are not identified in the early stages, then they may adversely affect th

Externí odkaz: https://doaj.org/article/e3bd88c17dbf43738fd53f2f0200b657

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Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network

Autor: Pushkar Gole, Punam Bedi

Publikováno v: Artificial Intelligence in Agriculture, Vol 5, Iss, Pp 90-101 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5b33381b187151d02a44499500b5078
https://doi.org/10.1016/j.aiia.2021.05.002

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Smart Contract based Central Sector Scheme of Scholarship for College and University Students

Autor: Neha Gupta, Shivani Dhiman, Pushkar Gole, Punam Bedi

Publikováno v: Procedia Computer Science. 171:790-799

Education plays a vital role in human life. To encourage higher education, the Indian government has taken many initiatives. These include the disbursement of scholarships to financially help the students belonging to low-income families. Central Sec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f20c1b0fe540052cb8568c44f1a170c2
https://doi.org/10.1016/j.procs.2020.04.086

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PlantGhostNet: An Efficient Novel Convolutional Neural Network Model to Identify Plant Diseases Automatically

Autor: Pushkar Gole, Punam Bedi

Publikováno v: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

Plants are an integral part of the food chain. They provide food to the majority of the world's population. Besides this, the economy of many countries depends on agriculture directly or indirectly. The productivity of agriculture is directly depende

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::658d9ee098af70edea79e655f6748fc3
https://doi.org/10.1109/icrito51393.2021.9596543

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Prediction of COVID-19 Trend in India and Its Four Worst-Affected States Using Modified SEIRD and LSTM Models

Autor: Punam Bedi, Vinita Jindal, Pushkar Gole, Neha Gupta, Shivani Dhiman

Publikováno v: Sn Computer Science

Since the beginning of COVID-19 (corona virus disease 2019), the Indian government implemented several policies and restrictions to curtail its spread. The timely decisions taken by the government helped in decelerating the spread of COVID-19 to a la

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062969d0872a75fb93b81c50d3c692a2
https://doi.org/10.1007/s42979-021-00598-5

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