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Harithalekshmi V.

Publications (4)

Evaluation of CERES –Rice Model for Simulating Rice Yield and Phenophases

Harithalekshmi V., G.K. Das, Surendra Kumar Chandniha, H.V. Puranik & J.L. Chaudhary · International Journal of Plant & Soil Science · 2024

In this study, the performance of the CERES-Rice model in simulating the growth and yield of the Rajeshwari variety in the Raipur district of Chhattisgarh, India, was evaluated. Utilizing observed data from 2021 and 2022, the model was calibrated and validated using key parameter...

Open access Research Article 10.9734/ijpss/2024/v36i74742

Analysing the Impact of the Southwest Monsoon on Kharif Rice Acreage in the Raipur District Using Microwave Remote Sensing

Gowtham S., Gopi Krishna Das, Prashant Kawishwar, Harithalekshmi V. & Deepak Saran · International Journal of Plant & Soil Science · 2023

This study utilized Synthetic Aperture Radar (SAR) data from Sentinel-1 to estimate the kharif paddy acreage in the Raipur district. The unique capability of microwaves to penetrate clouds enabled the mapping of paddy fields even during the monsoon season. Supervised classificati...

Open access Research Article 10.9734/ijpss/2023/v35i214087

Design and Comparison of Vertical and Horizontal Hydroponic Systems for Coriander and Spinach Growth

Surendra Kumar Chandniha, Ankush Jaiswal, Niyati Udyam, Ritik Minj & Harithalekshmi V. · Asian Journal of Soil Science and Plant Nutrition · 2024

Understanding the differences in growth performance between these two systems will provide valuable insights for optimizing hydroponic farming practices, particularly in regions with harsh climates and limited water access, where sustainable and efficient food production is cruci...

Open access Research Article 10.9734/ajsspn/2024/v10i3362

Estimation of Soil Nitrogen, Phosphorous and Potassium Using IoT Based Sensor

Surendra Kuman Chandniha, Harshit Chouskey, S.K. Khunte, Muskan Sharma & Harithalekshmi V. · Journal of Experimental Agriculture International · 2024

This study developed a sensor system to measure soil Nitrogen (N), Phosphorus (P), and Potassium (K) levels. Using an Arduino-based setup, the sensors were installed at different soil locations to provide real time nutrient data. The collected data was analyzed to determine nutri...

Open access Research Article 10.9734/jeai/2024/v46i82735