Effect of Planting Season in the Crop Production in Indian States

Shivali Amit Wagle, Harikrishnan R


As the population grows and meets the demand for food, it is necessary to increase the production rate. This can be done by choosing the proper season for the crop and employing the cultivation land. The data analysis study is conducted on 124 crop varieties in the 33 Indian states in different weather conditions. The data analysis used a two-factor experimental design. The data analysis helps the farmer select the crop in the region and weather conditions that can have more productivity results. The study shows that the Kharif and Rabi season is the most favorable season for agriculture. Other than these seasons, agricultural activities are also done in summer, winter, autumn, and the whole year. The yield from the crops based on the seasonal weather information is a challenge in the agricultural sector. Amongst the variety of fruits, vegetables, seeds, and nuts, the majorly grown are pulses in all the states, rice has the largest producers. Data analysis is an important concept to understand the data wisely.  This study helps the smallholder farmer in decision making to increase crop productivity due to climate risk and trends. There is a vulnerability in agricultural production due to a change in weather conditions. This can arise from food security issues if proper knowledge of crop selection is not done.


Crop production; weather; plantation area.

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E. Han, A. V. M. Ines, and W. E. Baethgen, “Climate-Agriculture-Modeling and Decision Tool (CAMDT): A software framework for climate risk management in agriculture,” Environ. Model. Softw., vol. 95, pp. 102–114, 2017, doi: 10.1016/j.envsoft.2017.06.024.

A. Tesfaye, J. Hansen, G. T. Kassie, M. Radeny, and D. Solomon, “Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach,” Ecol. Econ., vol. 162, no. November 2018, pp. 157–168, 2019, doi: 10.1016/j.ecolecon.2019.04.019.

A. Honecker et al., “Plant, space and time - Linked together in an integrative and scalable data management system for phenomic approaches in agronomic field trials,” Plant Methods, vol. 16, no. 1, pp. 1–13, 2020, doi: 10.1186/s13007-020-00596-3.

R. Guntukula, “Assessing the impact of climate change on Indian agriculture: Evidence from major crop yields,” J. Public Aff., vol. 20, no. 1, pp. 1–7, 2020, doi: 10.1002/pa.2040.

F. Ramírez and J. Kallarackal, “The phenology and potential ecological associations of Magenta Lilly Pilly (Syzygium paniculatum Gaertn) a native vulnerable Australian tree growing in Bogotá, Colombia,” Arboric. J., vol. 41, no. 4, pp. 191–211, 2019, doi: 10.1080/03071375.2019.1642047.

N. Budiharti and I. N. G. Wardana, “Utilization of plantation land for increasing Indonesian soybean production,” IOP Conf. Ser. Earth Environ. Sci., vol. 472, no. 1, pp. 0–8, 2020, doi: 10.1088/1755-1315/472/1/012037.

D. Pauli et al., “The quest for understanding phenotypic variation via integrated approaches in the field environment,” Plant Physiol., vol. 172, no. 2, pp. 622–634, 2016, doi: 10.1104/pp.16.00592.

S. Faghih, Z. Zamani, R. Fatahi, and M. Omidi, “Influence of kaolin application on most important fruit and leaf characteristics of two apple cultivars under sustained deficit irrigation,” Biol. Res., vol. 54, no. 1, pp. 1–15, 2021, doi: 10.1186/s40659-020-00325-z.

K. Balyan, S. Kumar, V. P. Chahal, and S. Kumar, “Dynamics of Indian fresh mango export,” Indian J. Agric. Sci., vol. 85, no. 11, pp. 1466–1471, 2015.

R. Singh, M. K. Singh, A. K. Singh, C. Singh, and K. Singh, “Pulses production in India: Issues and elucidations,” Pharma Innov. J., vol. 7, no. 1, pp. 10–13, 2018, [Online]. Available: http://www.iipr.res.in/pe/introduction.asp.

P. V. Kumar et al., “Algorithms for Weather Based Management Decisions in Major Rainfed Crops of India: Validation Using Data from Multi-location Field Experiments,” Agron. J., 2020, doi: 10.1002/its2.20518.This.

P. S. Birthal, P. K. Joshi, S. Chauhan, and H. Singh, “Can horticulture revitalise agricultural growth?,” Indian J. Agric. Econ., vol. 63, no. 3, pp. 310–321, 2008.

S. Datta, “Impact of Climate Change in Indian Horticulture - a Review,” Int. J. Sci. Environ. Technol., vol. 2, no. 4, pp. 661–671, 2013.

C. Juhász, B. Gálya, E. Kovács, A. Nagy, J. Tamás, and L. Huzsvai, “Seasonal predictability of weather and crop yield in regions of Central European continental climate,” Comput. Electron. Agric., vol. 173, no. June 2019, p. 105400, 2020, doi: 10.1016/j.compag.2020.105400.

S. Khaki and L. Wang, “Crop yield prediction using deep neural networks,” Front. Plant Sci., vol. 10, no. May, pp. 1–10, 2019, doi: 10.3389/fpls.2019.00621.

Divyosmi Goswami, “crop production dataset,” 2020. https://www.kaggle.com/divyosmi2009/crop-production-in-india-statevise.

M. M. Nageswararao, B. S. Dhekale, and U. C. Mohanty, “Impact of climate variability on various Rabi crops over Northwest India,” Theor. Appl. Climatol., vol. 131, no. 1–2, pp. 503–521, 2018, doi: 10.1007/s00704-016-1991-7.

S. K. Malhotra, “Horticultural crops and climate change: A review,” Indian J. Agric. Sci., vol. 87, no. 1, pp. 12–22, 2017.

A. K. Singh and P. Sharma, “Measuring the productivity of food-grain crops in different climate change scenarios in India: An evidence from time series investigation,” vol. 4, no. 16, 2018, [Online]. Available: www.discoveryjournals.org.

K. F. Davis, A. Chhatre, N. D. Rao, D. Singh, and R. Defries, “Sensitivity of grain yields to historical climate variability in India,” Environ. Res. Lett., vol. 14, no. 6, 2019, doi: 10.1088/1748-9326/ab22db.

S. M. Kelkar, A. Kulkarni, and K. K. Rao, “Impact of climate variability and change on crop production in Maharashtra, India,” Curr. Sci., vol. 118, no. 8, pp. 1235–1245, 2020, doi: 10.18520/cs/v118/i8/1235-1245.

T. Sharma, H. Vittal, S. Karmakar, and S. Ghosh, “Increasing agricultural risk to hydro-climatic extremes in India,” Environ. Res. Lett., vol. 15, no. 3, 2020, doi: 10.1088/1748-9326/ab63e1.

M. Chozin, S. Sudjatmiko, Z. Muktamar, N. Setyowati, and F. Fahrurrozi, “Performances and genetic parameters estimation of yield and yield related traits in sweet corn inbred lines selected for better adaptation to organic cropping system,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 10, no. 3, pp. 1252–1257, 2020, doi: 10.18517/ijaseit.10.3.2558.

DOI: http://dx.doi.org/10.18517/ijaseit.11.6.13984


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