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Analysis Study Research Paper | Agricultural Studies | India | Volume 12 Issue 12, December 2023
A Comprehensive Dataset for Crop Yield Analysis in Telangana Region
P. Sowmya [2] | Dr. A. V. Krishna Prasad [2]
Abstract: This paper presents a meticulously curated and extensive dataset tailored for in-depth analysis of crop yields in the Telangana region, India. Spanning a period of [1966-2020], the dataset comprises 496 records, each meticulously compiled from a variety of reputable sources. The dataset encapsulates a diverse array of agricultural and meteorological features, including Dist. Code, Year, State Code, Dist. Name, Rice Irrigated Area (1000 ha), Total Consumption (tons), Annual Rainfall (Millimeters), Precipitation Avg, Max Temp, Min Temp, Wind Speed, Wind Direction, Surface Soil Wetness, Profile Soil Moisture, and Root Zone Soil Wetness. The importance of this dataset lies in its potential to shed light on critical determinants of crop yield in this agriculturally vibrant region. By providing a comprehensive record of environmental conditions, agronomic practices, and yield outcomes, researchers, agronomists, and policymakers gain a valuable tool for data-driven decision-making in agricultural planning and resource allocation. The dataset's temporal and geographic coverage facilitates not only cross-sectional analyses but also the exploration of temporal trends and variations in crop yield. As climate change increasingly impacts agricultural productivity, this dataset offers a vital resource for studying the resilience and adaptability of crops to evolving environmental conditions. With its rich features and robust data collection methodology, this dataset serves as a foundational resource for developing predictive models, optimizing resource allocation, and informing policies aimed at enhancing agricultural productivity and sustainability in the Telangana region.
Keywords: crop yield, climate, features, dataset
Edition: Volume 12 Issue 12, December 2023,
Pages: 222 - 227