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Shraddha Rawat

Publications (18)

Trends in Temperature and Rainfall Variability and Their Relationship with Rice and Wheat Yields across Agro-Climatic Zones of Uttar Pradesh, India (1993–2023)

Ritika Singh & Shraddha Rawat · Journal of Scientific Research and Reports · 2026

Climate variability, particularly changes in temperature and rainfall, can substantially influence the productivity of major food crops such as rice and wheat. Understanding long-term climate–yield relationships across the diverse agro-climatic zones of Uttar Pradesh is important...

Open access Research Article 10.9734/jsrr/2026/v32i94500

Calibration and Validation of AquaCrop Model for Wheat under Prayagraj Agro-climatic Conditions

Shane Naorem & Shraddha Rawat · International Journal of Environment and Climate Change · 2026

The present study was conducted to calibrate and validate the FAO AquaCrop model for simulating wheat (cv. PBW-502) productivity under the agro-climatic conditions of Prayagraj, Uttar Pradesh. Field experiments were carried out during two consecutive rabi seasons (2018–2019 and 2...

Open access Research Article 10.9734/ijecc/2026/v16i85603

Effect of Sulphur and Zinc on Growth and Yield of Sesame (Sesamum indicum L.)

Kamini Singh, Shraddha Rawat & Yash Pratap Singh · Journal of Scientific Research and Reports · 2026

Sesame (Sesamum indicum L.) is an important oilseed crop whose productivity is often constrained by deficiencies of essential micronutrients like sulphur and zinc. Adequate nutrient management, particularly the balanced application of sulphur and zinc, plays a critical role in en...

Open access Research Article 10.9734/jsrr/2026/v32i64229

Evaluation of Long-Term Trends in Climatic Variables and Correlation Analysis for Major Crops in Prayagraj

S. B. Sree Hari, Shraddha Rawat & Nilesh Kumar Singh · International Journal of Environment and Climate Change · 2026

This study investigates long-term climatic trends and their influence on crop yields in the Prayagraj region of Uttar Pradesh, aiming to enhance understanding of weather–agriculture interactions for sustainable farming. Utilizing meteorological and crop yield data from 1997 to 20...

Open access Research Article 10.9734/ijecc/2026/v16i25300

Crop Yield Prediction Using Different Techniques of Machine Learning for Prayagraj Region

Sree Hari S B & Shraddha Rawat · International Journal of Environment and Climate Change · 2026

Reliable crop yield prediction is becoming increasingly critical as climate patterns shift, and successful agricultural planning depends heavily on our ability to accurately forecast production. This study introduces a data-driven framework designed to untangle the complex relati...

Open access Research Article 10.9734/ijecc/2026/v16i25289

Impact of Climate Variability on Green Gram in Prayagraj, Uttar Pradesh, India

Ankush Chandra & Shraddha Rawat · International Journal of Environment and Climate Change · 2025

This study examines the climatic trends and their relationship with green gram yield in the Prayagraj region over the period 1992–2024. Long-term analysis of meteorological data revealed distinct seasonal patterns and significant shifts in temperature, rainfall, and humidity. The...

Open access Research Article 10.9734/ijecc/2025/v15i105058

Assessment of Blue and Green Water Footprint of Rice Crop for Prayagraj Region

Ekta Kumari & Shraddha Rawat · International Journal of Environment and Climate Change · 2025

The rising demand for water in agriculture, combined with increasing concerns over freshwater scarcity, necessitates the adoption of efficient water use assessment frameworks. The water footprint concept serves as a comprehensive indicator of water use by distinguishing between g...

Open access Research Article 10.9734/ijecc/2025/v15i105051

Climate Variability and its Effects on Green Gram Yield in Nalanda, Bihar, India

Kumari Sakshi, Shraddha Rawat & Rupesh Ranjan · International Journal of Environment and Climate Change · 2025

Rainfall is a very important natural resource, which plays a pivotal role in the success or failure of agricultural crop production in an area. In the recent years, successful and profitable production of kharif rice, which is a very important crop in Bihar, has been a gamble wit...

Open access Research Article 10.9734/ijecc/2025/v15i95015

Assessment of Temperature and Precipitation Variability and its Spatial Distribution Over Haryana, India

Kuldeep Singh & Shraddha Rawat · International Journal of Environment and Climate Change · 2025

The climate of Haryana is marked by significant regional variability, influenced by its diverse geographical features, including the Shivalik Hills, the Yamuna River, and the Thar Desert. This study explores the regional differences in temperature and precipitation across the sta...

Open access Research Article 10.9734/ijecc/2025/v15i84968

Modelling and Performance Evaluation of Machine Learning Techniques in Forecasting Cereal Yield for Shri Ganganagar Region, Rajasthan, India

Yash Chhabra, Shraddha Rawat & Shweta Gautam · Archives of Current Research International · 2024

One of agriculture's most difficult issues is predicting crop yield. Crop yield forecasting enables necessary decisions to be made to guarantee food security. The current study looks into the use of statistical and machine learning approaches for wheat and rice yield prediction u...

Open access Research Article 10.9734/acri/2024/v24i10913

Analysing the Temporal Variation of \(ET_0\) and Water Requirement of Mustard (Brassica juncea L.) Over Different Agroclimatic Zones of Uttar Pradesh by Using CROPWAT

Sumer Singh Kulariya, Shraddha Rawat, Abhishek James & Sameer Gill · International Journal of Environment and Climate Change · 2024

The agriculture sector is a major consumer of the water resource to fulfill the requirement of irrigation and its dependency on ground water is 70-90%. It is important to understand the crop water requirement to prepare a sustainable management of water resources. The Experiment...

Open access Research Article 10.9734/ijecc/2024/v14i94392

Trend Analysis of Weather Variables and Reference Evapotranspiration of Mustard (Brassica juncea L.) Crop for Haryana, India

Sameer Gill, Shraddha Rawat & Sumer Singh Kulariya · International Journal of Environment and Climate Change · 2024

The agriculture sector is a major consumer of the water resource to fulfil the requirement of irrigation. It is important to understand the crop water requirement to prepare a sustainable management of water resources. The present study was conducted for estimation of water requi...

Open access Research Article 10.9734/ijecc/2024/v14i94386

Spatio-temporal Variability of Reference Evapotranspiration and Trend Analyze of Crop Water Requirement

Ronald Mayengbam & Shraddha Rawat · International Journal of Environment and Climate Change · 2024

The study was aimed to analyse the trend of Reference Evapotranspiration (ETo) for estimation of Crop Water Requirement (CWR) for Rice (Oryza sativum) cultivation in Manipur from 2011-2021 in 16 districts (Bisnupur, Churachandpur, Jiribam, Imphal East, Kamjong, Senapati, Imphal W...

Open access Research Article 10.9734/ijecc/2024/v14i23953

Weather-Based Rice Crop Yield Forecasting using Different Regression Techniques & Neural Network Approach for Prayagraj Region

Nilesh Kumar Singh, Shraddha Rawat & Shweta Gautam · International Journal of Environment and Climate Change · 2023

Rice crop yield data and weather data were considered in this study, covering the past twenty-nine years (1991-2019) in Prayagraj District, Uttar Pradesh. The data was sourced from DACNET and the College of Forestry, SHUATS Prayagraj. The analysis comprised a calibration period o...

Open access Research Article 10.9734/ijecc/2023/v13i102908

Comparison between Different Mustard Yield Prediction Models Developed using Various Techniques for Udaipur Region of Rajasthan

Adita Mishra, Shraddha Rawat, Shweta Gautam & Ekta P. Mishra · International Journal of Environment and Climate Change · 2022

The present research was conducted to develop and compare mustard yield prediction models using SPSS regression, Artificial Neural Network (ANN) and Autoregressive Moving Average (ARIMA) model. Mustard crop is one of the major rabi crops of India with Rajasthan as the leading mus...

Open access Research Article 10.9734/ijecc/2022/v12i1130997

Effect of Irrigation and Antitranspirant on Growth and Yield Attributes of Foxtail Millet (Setaria italica L.)

Priyanka Lall, Shikha Singh & Shraddha Rawat · Journal of Scientific Research and Reports · 2026

Foxtail millet (Setaria italica L.) is a drought-tolerant crop, yet its growth and yield are significantly influenced by water availability and moisture stress conditions. The use of optimized irrigation strategies along with antitranspirants can help reduce water loss and improv...

Open access Research Article 10.9734/jsrr/2026/v32i54162

Study of Different Rooting Media Compositions and Germination Rate of Papaya Seedlings var. Red Sun (Dwarf) under Prayagraj Agro-climatic Conditions

D. T. Rochu, Deepak Lall, Shilpa Rana, Shraddha Rawat & Vijay Bahadur · International Journal of Plant & Soil Science · 2026

The experiment was conducted at the research field, Department of Horticulture, Naini Agricultural Institute (NAI), Faculty of Agriculture (FoA), Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Prayagraj, Uttar Pradesh (India), during the kharif seas...

Open access Research Article 10.9734/ijpss/2026/v38i96263

Regional Time Series Forecasting of Chickpea using ARIMA and Neural Network Models in Central Plains of Uttar Pradesh (India)

Bukke Vennela, Ekta Pathak Mishra, Shweta Gautam, Ashish Ratn Mishra & Shraddha Rawat · International Journal of Environment and Climate Change · 2022

Climate and yield prediction are the most important and challenging tasks in modern agriculture during the climate change era. In general, climate and yield are mostly non-linear and highly complicated. India is an agricultural country and most of its economy depends upon agricul...

Open access Research Article 10.9734/ijecc/2022/v12i1131280