The ratio between agricultural input and output accounts for agricultural productivity. In agriculture, crop yield is measured as a degree of the yield per unit area of the cultivated land and the seeds produced from the same crop. The reasons for low productivity of Agriculture are human factors i.e. lack of training and efficiency of formers, huge population, Traditional methods of cultivation, Problems of soils, Pests, Diseases, feeble cattle, Lack of credit facility, Inadequate Irrigation facilities, Unreliable Monsoon and Improper marketing of crops etc. India's economy primarily depends on agriculture yield growth and their allied agro industry products. The agriculture yield prediction is the toughest task for agricultural departments across the globe. The agriculture yield depends on various factors. Particularly countries like India, majority of agriculture growth depends on rain water, which is highly unpredictable. Agriculture growth depends on different parameters, namely Water, Nitrogen, Weather, Soil characteristics, Crop rotation, Soil moisture, Surface temperature and Rain water etc.[S.1, Q.1] NITI Aayog has signed a Statement of Intent (SoI) with which of the following companies to develop crop yield prediction model using Artificial Intelligence? (Topic : Growth Measurement) – 2 Marker

• A. IBM
• B. HCL Technologies
• C. Wipro
• D. Infosys
• E. C-DAC