Rice yield estimation using remote sensing and crop simulation model in Nalgonda district, Telangana

Snigdha, G (2022) Rice yield estimation using remote sensing and crop simulation model in Nalgonda district, Telangana. Masters thesis, Professor Jayashankar Telangana State Agricultural University.

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Supervisors

Supervisors Name	Supervisors ID
Murali krishna, Gumma	ICRISAT (Patancheru)
Neelima, TL	PJTSAU, Hyderabad
Avil Kumar, K	PJTSAU, Hyderabad

Abstract

A study on “Rice yield estimation using Remote Sensing and crop simulation model in Nalgonda district, Telangana” was carried out during kharif, 2021. Precise and real-time agricultural yield data at the national, international and regional levels is becoming increasingly crucial for global food security. Crop yield forecasting could be very useful in advanced crop planning, strategy creation, and management. Because of the importance of yield prediction in food security, the present study used the APSIM-ORYZA model and remote sensing to estimate rice yield. The core objective of this study was to develop a method to integrate remotely sensed data and APSIM model for rice yield estimation in Nalgonda district, Telangana. This study includes mapping of rice growing areas and execution of APSIM model, followed by integration of remote sensing and crop simulation model for rice yield prediction and verification using government statistics. Based on stratification, two villages, Telakantigudem from Kangal mandal and Mallaram village from Kattangoor mandal in Nalgonda district were selected and ten fields from each village were chosen for the study to collect the measured LAI values with the help of ceptometer in the fields and the crop management data from the respected farmers. Crop classification was performed on Sentinel-1 and Sentinel-2 time series data using a Random Forest (RF) classifier and ground reference points collected from field surveys in the Google Earth Engine platform. The results demonstrated an overall accuracy of 92% and a kappa coefficient of 0.85, and rice area was validated with the crop coverage report (kharif, 2021) provided by the Department of Agriculture (DOA), Telangana state showed a relative variation of -0.16%. Remote sensing products like VV, VH AND VH/VV from Sentinel-1 and NIR, Red and NDVI from Sentinel-2 were derived using GEE and were calibrated with the measured LAI data collected from farmers’ fields. The result showed that there was a significant relation (R2=0.78) between NDVI and field LAI and hence it was considered for integration with the crop model output. Maps were derived showing spatial variation in crop extent, and leaf area index (LAI), which are crucial in yield assessment. Execution of APSIM-ORYZA model was done using the weather parameters, soil parameters, genetic coefficients and crop management data. The evaluation of the model with simulated yield and observed yield in the farmers’ fields showed linear regression of R2 = 0.79, root mean square error (RMSE)=804 kg ha-1 and mean absolute error (MAE)=728 kg ha-1. The overall spatially averaged model yield for the district showed 4925 kg ha-1 which is deviated by 2% from the average yield in the government statistics with 5024 kg ha-1. The study showed that by assimilation of remotely sensed data with the crop models, crop yields before harvest could be successfully predicted.

Item Type:	Thesis (Masters)
Divisions:	Global Research Program - Resilient Farm and Food Systems
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Rice yield, Water, Remote sensing, Agronomy, Water Management, Nalgonda, Rainfall, Soils
Subjects:	Others > Remote Sensing Others > Rice
Depositing User:	Mr Ramesh MNR
Date Deposited:	21 Sep 2022 03:18
Last Modified:	03 Oct 2023 05:25
URI:	http://oar.icrisat.org/id/eprint/12010
Acknowledgement:	I will forever be grateful to the almighty creator who bestowed upon me everything I possess as well as the courage, patience, endurance, and strength necessary to successfully navigate the challenges in this endeavour. I am privileged to express my deep and heartfelt gratitude and veneration to my Major Advisor and Chairman of the Advisory Committee Dr. Gumma Murali Krishna, Principal scientist and cluster head, Geospatial sciences and Big data, ICRISAT, for his inspiring guidance and encouragement, outstanding cooperation, calm endurance, constructive criticism, valuable suggestions and keen interest during the course of investigation & all the assistance provided throughout the tenure of study. I express my deep and sincere gratitude to the member of my advisory committee Dr. T. L. Neelima, Senior Scientist, Agronomy, Water Technology Centre, Rajendranagar, Hyderabad for her encouragement, meticulous guidance, cordial cooperation, kind support, and well-timed suggestions right from the initial stages till the completion of my research work and in perfect conduct of the experiment work and presentation of the thesis. I wish to convey my genuine thanks to Dr. K. Avil Kumar, Director, Water Technology Centre, Rajendranagar, Hyderabad and member of my advisory committee for his benign help and transcendent suggestions during the course of investigation and for the critical perusal of the manuscript. I sincerely extend my profound gratitude to P. Pranay, SO, Geospatial sciences and Big data, ICRISAT, for his immense patience, keen interest in planning and execution of research and affectionate encouragement in handling the research work in all its stages and I am extremely thankful to Md. Rafi Ismail, P. Vineetha, M. Roja, P. Lakshmi Thanmai, B. Pavan Kumar, Sujatha and Ugalechumi for their valuable suggestions and cooperation during my post-graduation program. I humbly express my sincere thanks to the Learning Systems Unit (LSU), Mr. Pratap and Nalini for their guidance and assistance during my internship carried in ICRISAT. I thank my parents, Mr.Yellaiah and Mrs. Chandrakala, my sister Smitha and my brother Yashwanth, for their unflagging love and support throughout my life and for their faith in me. It was under their watchful eye that I gained so much drive and an ability to tackle challenges head-on; this dissertation is simply impossible without them. I will always be indebted for the love, affection, care, courage, strength and blessings of my parents. It is a pleasure to acknowledge the affection and inspiration rendered by my friends and classmates, Mamatha, Tasleema, Archana, and Harika, for their special upliftment during my studies and worries, their parallel affection and encouragement and critiques made by them were of essence to the progress of this work; and Seniors Lokesh, Padmaja, Dileep, Bhargav, Santhoshini, Bhargavi, Hemanth, Niharika and Arpitha in whose cheerful company I have never felt my work as a burden. I express my sincere thanks to Mamatha, Jayakar, Bhargavi, Swaroopa, Karthik, Srinika, Chandra Shekar and the staff of the Water Technology Center for their timely cooperation and help during the P.G.Programme. I express my immense and wholehearted thanks to all my near for their cooperation and help during my study and research. Finally, I profusely thank the Water Technology Center, Professor Jayashankar Telangana State Agricultural University (PJTSAU) for providing me with the opportunity to pursue an M.Sc. degree program.
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