A5088998571- Agricultural Economics and Practices
- Climate change impacts on agriculture
- Remote Sensing in Agriculture
- Rice Cultivation and Yield Improvement
- Genetics and Plant Breeding
- Soil and Land Suitability Analysis
- Greenhouse Technology and Climate Control
- Hydrology and Drought Analysis
- Smart Agriculture and AI
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Crop Yield and Soil Fertility
- Wheat and Barley Genetics and Pathology
- Spectroscopy and Chemometric Analyses
- Groundwater and Watershed Analysis
- Solar Radiation and Photovoltaics
- Fisheries and Aquaculture Studies
- Agricultural Science and Fertilization
- Remote Sensing and Land Use
- Irrigation Practices and Water Management
- Plant responses to elevated CO2
- Agricultural Systems and Practices
- Postharvest Quality and Shelf Life Management
- Plant Disease Resistance and Genetics
- Agricultural risk and resilience
Govind Ballabh Pant University of Agriculture and Technology
2016-2025
Indira Gandhi Agricultural University
2007-2014
Indian Space Research Organisation
2000-2004
Crop yield forecasting before harvesting is critical for the creation, implementation, and optimization of policies related to food safety as well agro-product storage marketing. growth development are influenced by weather. Therefore, models using weather variables can provide reliable predictions crop yields. It be tough select best production model. in this study, five alternative models, viz., stepwise multiple linear regression (SMLR), an artificial neural network (ANN), least absolute...
In aquatic environments, autonomous robots equipped with environmental sensors play a pivotal role in gathering critical data to monitor and understand complex ecosystems. This research paper explores the modeling of signal variations generated by an robot submerged water, considering factors such as temperature, pressure, salt content, number living species surroundings. The primary focus is on characterizing quantifying random error inherent signal, emphasis heavy-tailed probability...
Soil erosion is becoming a major concern at the watershed scale for environment, natural resources, and sustainable resource management. Therefore, estimation of soil loss through this phenomenon identification critical erosion-prone areas are considered to be key tasks in conservation programme design implementation best management practices specific regions or areas. In present study, revised universal equation (RUSLE) modelling combined with remote sensing (RS) geographical information...
Abstract In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being staple crop for billions of people, requires accurate timely yield prediction to ensure security. This study was undertaken across two rice seasons in the Udham Singh Nagar district Uttarakhand state predict at 45, 60 90 days after transplanting (DAT) through machine learning (ML) models, utilizing combination optical Synthetic Aperture Radar...
This study presents an analysis of extreme temperature and precipitation events in the capital cities India during 40-years period (1982-2022). Daily maximum temperature, minimum rainfall from NASA-POWER were used to compute climate indices, recommended by Expert Team on Climate Change Detection Indices (ETCCDI) Sector-Specific (ET-SCI). is first analyzing trend with a focus only its cities, not for country as whole. Findings indicate that situated western ghat, islands, Himalayan range,...
India is an agrarian country where approximately 65% population still dependent on agriculture. Agricultural Universities in has been mandated with preparing trained human resources, conducting need-based research and taking the technologies to farmer’s field through extension activities. Website good source of communication provide crucial information stakeholders such as students, farmers a common man. The content website how it kept plays role fulfilling objectives website. Web 2.0...
Abstract Forecasting the severity of crop diseases is crucial for agricultural productivity and can be achieved through statistical machine learning techniques. Predictive models that consider weather conditions during critical growth stages crops have shown promising accuracy. However, selecting most suitable forecasting model remains a challenge. This research investigates impact various factors on Soybean Yellow Mosaic Virus (SYMV) incidence. Specifically, six multivariate Stepwise...
The prediction of crop yield before harvest is crucial for facilitating the formulation and implementation policies about food safety, transportation cost, import-export, storage marketing agro-products. weather plays a role in growth development. Therefore, models using variables can provide reliable forecasts choosing right model production be difficult. Therefore present study, an attempt was made to find best wheat forecast by five different techniques viz. Stepwise Multiple Linear...
A methodology was developed for large area yield forecast using a crop simulation model and discrete technology trend, applied to the coherent wheat variability zones of Eastern Uttar Pradesh, India. The approach consisted three major steps: (a) prediction trend historical series region; (b) weather-induced deviation in CERES-Wheat relating simulated observed deviations from trend; (c) final by incorporating predicted yield. regression coefficients step were generated 10 years' data...
Chhattisgarh state located in central India covers total area of about 13.5 million hectares.The region has a great variety and diversity weather conditions.Three major agro-climatic zones been demarcated the viz., plains zone, Bastar plateau ACZ Northern hill region.Here an analysis rainfall for 16 districts made interpretation drawn regarding pre-dominant crop rice cultivation.Further stress to conserve surplus monsoonal On Farm Reservoirs (OFR's) as is occurring intense storms utilize...
Indian economy is largely based on agriculture, the production capacity of which predisposed to exceptional weather conditions observed over prolonged period, if other factors such as soil, management practices etc. are assumed remain unchanged in different years.
The climatic data of 32 stations Uttarkahand and adjoining region were collected the thematic layers parameters, annual average temperature precipitation generated using spatial analyst Extension ARC-View. grid interpolation was applied to generate surface later it rectified with Digital Elevation Model (DEM) prepared ASTER employing environmental lapse rate (0.65oC / 100 m).
 Decision Tree Classifier (DTC) embedded in ENVI image processing software used for agroclimatic zonation...
The vulnerability of animal production to Thermal Humidity Index (THI) has hardly been documented in India and hence one study on climate weather the conception rate cattle was conducted at Pantnagar, Uttarakhand. In study, meteorological data (2000 2010) were collected from agrometeorological Observatory, Pantnagar used compute six different types by giving weightage dry bulb temperature humidity. relationship between overall established select most appropriate THI for practical application.