A5058319129- Remote Sensing in Agriculture
- Rice Cultivation and Yield Improvement
- Smart Agriculture and AI
- Crop Yield and Soil Fertility
- Spectroscopy and Chemometric Analyses
- Genetics and Plant Breeding
- Irrigation Practices and Water Management
- Leaf Properties and Growth Measurement
- Climate change impacts on agriculture
- Agricultural pest management studies
- Remote Sensing and LiDAR Applications
- Animal Disease Management and Epidemiology
- Vector-Borne Animal Diseases
- Seed and Plant Biochemistry
- Viral Infections and Immunology Research
- Soybean genetics and cultivation
- Advances in Cucurbitaceae Research
- Plant Virus Research Studies
- Agroforestry and silvopastoral systems
- Plant Water Relations and Carbon Dynamics
- Agricultural Economics and Practices
- Agronomic Practices and Intercropping Systems
- Soil Carbon and Nitrogen Dynamics
- Agricultural Science and Fertilization
- Polymer-Based Agricultural Enhancements
Indian Agricultural Research Institute
2012-2025
Indian Council of Agricultural Research
2023-2025
Project Directorate on Foot and Mouth Disease
2016-2025
Govind Ballabh Pant University of Agriculture and Technology
2023-2024
Patliputra University
2024
Indian Grassland and Fodder Research Institute
2024
Neurology, Inc
2022
Montserrat Volcano Observatory
2022
United States Virgin Islands Department of Health
2022
RKDF University
2022
Irrigation is one of the largest consumers fresh water in agricultural sector. Surface irrigation most widely adopted method due to its simplicity and low energy requirement. Although, it mostly associated with poor application efficiency mainly deep percolation uneven distribution water. A study was conducted closed-end level basin layout loamy soil establish test an Internet Things (IoT) based system through a wireless connection between automatic check gate moisture sensors which can be...
A field experiment with wheat was conducted four different nitrogen and water stress levels, hyperspectral reflectances in the 350–2500 nm range were recorded at six crop phenostages for two years (2009–2010 2010–2011). Thirty-two indices determined using first-year reflectance data. Plant (N) status, characterized by leaf content (LNC) plant accumulation (PNA), showed highest R 2 spectral booting stage. The best five predictive equations LNC based on green normalized difference vegetation...
Quantitative estimation of crop nitrogen is the key to site-specific management for enhanced (N) use efficiency and a sustainable production system. As an alternate conventional approach through wet chemistry, sensor-based noninvasive, rapid, near-real-time assessment N at field scale has been need precision agriculture. The present study attempts predict leaf wheat spectroscopy using portable spectroradiometer (spectral range 400–2500 nm) on ground in imaging spectrometer 400–1000 from...
Abstract A machine learning‐based approach was utilized to develop a device for groundnut bud necrosis virus (GBNV) disease severity detection and estimation in tomato plants ( Solanum lycopersicum L.). The study involved inoculating with GBNV, monitoring changes morphological spectral characteristics, evaluating learning algorithms (decision tree [DT] classifier) analysis classification of severity, developing validating estimation. Spectral data revealed distinct patterns reflectance,...
The study was conducted at the Department of Agrometeorology, GBPUAT, Pantnagar under Gramin Krishi Mausam Seva (GKMS) Scheme. meteorological data on temperature and rainfall for period 1990-2022 collected from Norman E Borlaug Crop Research Centre, Pantnagar, were used to develop a seasonal model using MINITAB software. software monthly input years 1990-2017 best Seasonal Autoregressive Integrated Moving Average (SARIMA) forecasting variables basis. forecasted values SARIMA time (2018-2022)...
<title>Abstract</title> Text Annotation is the process of adding metadata in text and used various tasks like natural language processing (NLP) machine learning models. Named entity recognition (NER) one interesting challenging NLP being extensively many domains. The application NER will also be useful handling documents, queries, reports research articles related to agriculture identifying pests affecting crops. SpaCy, a free open source library for that requires data complex annotated...
Chlorophyll and nitrogen (N) content in rice at critical crop growth stages are important input parameters for nutrient uptake models used to optimize N application. Hence, the study was conducted predict chlorophyll using multiple regression-based involving normalized difference vegetation index (NDVI), Soil Plant Analysis Development (SPAD), Customized leaf color chart (CLCC), content. An experiment with six varieties i.e. CR Dhan 312, 310, Lalat, Shatabdi, Swarna Shreya, 206 four levels...
Minutiae matching has long dominated the field of fingerprint recognition. However, deep networks can be used to extract fixed-length embeddings from fingerprints. To date, few studies that have explored use CNN architectures such shown extreme promise. Inspired by these early works, we propose first a Vision Transformer (ViT) learn discriminative embedding. We further demonstrate guiding ViT focus in on local, minutiae related features, boost recognition performance. Finally, show fusing...
The advent of high-spatial-resolution hyperspectral imagery from unmanned aerial vehicles (UAVs) made a breakthrough in the detailed retrieval crop traits for precision crop-growth monitoring systems. Here, hybrid approach radiative transfer modelling combined with machine learning (ML) algorithm is proposed leaf area index (LAI) and canopy chlorophyll content (CCC) wheat cropland at experimental farms ICAR-Indian Agricultural Research Institute (IARI), New Delhi, India. A image captured UAV...
Remote sensing is being increasingly used in stress management different agricultural practices. It useful for real time analysis crop which not possible visual observation alone. Rice blast caused by fungus Pyricularia Oryzae a serious constrain rice production India. There hardly any basic information available spectral characteristics of disease its real-time detection and management. Present study to characterize reflectance affected order identify the sensitive range. Disease severity...
The present experiment was conducted during winter (rabi) seasons of 2019–20 and 2020–21 at the ICAR-Indian Grassland Fodder Research Institute, Jhansi, Uttar Pradesh to study genetic diversity amongst oat (Avena sativa L.) lines for micronutrients agro-morphological traits. For study, 150 accessions collected from different sources were evaluated two years four (Zn, Cu, Fe Mn) 9 traits recorded. Genotypes IG02122 (464.0 mg/kg), IG02156 (48.1 IG03271 (136.0 IG03213 (22.0 mg/kg) had maximum...