Forecasting of Banana Crop Productivity Using Geospatial Approach: A Case Study of Anand District

Author:

Pandya Usha1,Mudaliar Ashwini2ORCID,Gaikwad Amol3

Affiliation:

1. Department of Botany, Government College, Daman 396210, India

2. Department of Botany, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara 390002, India

3. Department of Mathematics, Government College, Daman 396210, India

Publisher

MDPI

Reference7 articles.

1. Comparative economics of Banana cultivation in Anand district of Gujarat;Dave;Econ. Aff.,2016

2. (2023, January 09). Available online: https://www.statista.com/statistics/1038905/india-production-of-banana/#:~:text=During%20fiscal%20year%202022%2C%20the,during%20the%20measured%20time%20period.

3. Olivares, B.O., Vega, A., Rueda Calderón, M.A., Montenegro-Gracia, E., Araya-Almán, M., and Marys, E. (2022). Prediction of Banana Production Using Epidemiological Parameters of Black Sigatoka: An Application with Random Forest. Sustainability, 14.

4. Chaturvedi, D.K. (2017). Modeling and Simulation of Systems Using MATLAB and Simulink, CRC Press.

5. Mathematical modeling on tomato plants: A review;Afr. J. Agric. Res.,2011

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