Accès ouvert
2024
article
OpenAlex
Jami Naveen, Khagen Kurmi, Mrinal Saikia, Kalyan Pathak et autres
Mitigation of greenhouse gases (GHGs), improving nutrient-use efficiency (NUE), and maximizing yield in rainfed lowland rice cultivation poses significant challenges. To address this, a two-year field experiment (2020 and 2021) was conducted in Assam, India, to examine the impact of different fertilizer-management …
in
(code pays fourni par la source)
2024
conference-paper
OpenAlex
M. Mounika, G. Uday Kiran, K. Sai Teja, I. Kumaraswamy et autres
Accès ouvert
2023
article
OpenAlex
N. Raja Shekar, K. Sai Teja, G. Syam Sundar, B. Kalyan Chakravarthy
This research describes a proposed system that uses deep learning and image processing methods to identify and categorize plant leaf diseases. The approach that is suggested comprises of two categorization methods and compares them. The first approach comprised of multiple steps leading …
Accès ouvert
2023
article
OpenAlex
K. Sai Teja
Abstract: Hindi-Handwritten-Character- Recognition is animportant problem in the field of machine learning andcomputer vision. With the increasing digitization of India, there is a growing need to develop accurate and efficient algorithms for recognizing handwritten Hindi characters, which can be used in a …
Accès ouvert
2023
article
OpenAlex
G.S. Thanuja, K. Sai Teja, V.N.P.S. Krishna
Medicinal and aromatic industry is known as sunrise industry. A field experiment was conducted during 2021-2022 at College of Horticulture, Anantharajupeta, Dr.Y.S.R. Horticultural University, Andhra Pradesh with the twin objectives of finding out the best sowing time and suitable organic manure on …
fr
(code pays fourni par la source)
2020
article
OpenAlex
K. Sai Teja, A Kavitha, R. Chandramouli