1. Agritech. (2022). Investment in agri tech startups jumps 2-fold to $4.6 billion in FY22. Business Standard. Available online. https://www.business-standard.com/article/companies/investment-in-agri-tech-startups-jumps-2-fold-to-4-6-billion-in-fy22-122113000675_1.html. Accessed 13th December 2022.
2. Baret, F., Hagolle, O., Geiger, B., Bicheron, P., Miras, B., Huc, M., Berthelot, B., Niño, F., Weiss, M., Samain, O., & Roujean, J. L. (2007). LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm. Remote Sensing of Environment, 110(3), 275–286.
3. DAC&FW. (2021). Annual Report 2020–21. Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers’ Welfare, Government of India. Available online. https://agricoop.nic.in/sites/default/files/Web%20copy%20of%20AR%20%28Eng%29_7.pdf. Accessed 13th December 2022.
4. Filippi, P., Jones, E. J., Wimalathunge, N. S., Somarathna, P. D., Pozza, L. E., Ugbaje, S. U., Jephcott, T. G., Paterson, S. E., Whelan, B. M., & Bishop, T. F. (2019). An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. Precision Agriculture, 20(5), 1015–1029.
5. Heller, M. (2022). What is human-in-the-loop machine learning? Better data, better models. Available online. https://www.infoworld.com/article/3648456/what-is-human-in-the-loop-machine-learning-better-data-better-models.html. Accessed 13th December 2022.