1. Agritech. (2022). Investment in agri tech startups jumps 2-fold to $4.6 billion in FY22. Business Standard. https://www.business-standard.com/article/companies/investment-in-agri-tech-startups-jumps-2-fold-to-4-6-billion-in-fy22-122113000675_1.html. Zugegriffen: 13. Dez. 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. Zugegriffen: 13. Dez. 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. https://www.infoworld.com/article/3648456/what-is-human-in-the-loop-machine-learning-better-data-better-models.html. Zugegriffen: 13. Dez. 2022.