RECOMMENDATIONS: Based on the provided data, we recommend approving the insurance application for the Maize SC7272 crop, with the following conditions: - The farmer should be advised to maintain accurate records of their farming practices, including crop rotation, soil testing, and pest management, to minimize potential risks. - The farmer should consider investing in drought-tolerant varieties and implementing efficient irrigation systems to mitigate the risk of crop failure due to weather-related events. - The insurance coverage level of 65% is reasonable, considering the expected yield per hectare and market price per tonne. - The farmer should be required to provide regular progress updates and allow for regular inspections to ensure compliance with the insurance policy terms.
ANALYSIS: The data provided indicates that the farmer is planning to plant Maize SC7272, with a planned sowing date of 2024-06-30 and a harvest date of 2025-01-03. The farmer has 2300 plants per hectare, with 25 hectares insured, resulting in a total of 57,500 plants. The input cost per hectare is $355.00, with an expected yield per hectare of 9.00 tonnes. The market price per tonne is $1000.00, and the farmer is expecting to sell the produce for $1100.00 per tonne.
The crop spacing, as indicated by the number of plants per hectare, is reasonable for Maize SC7272. The insured hectares and input cost per hectare are also within expected ranges. The expected yield per hectare is slightly above average, which may indicate that the farmer has implemented good farming practices.
The coverage level of 65% is reasonable, considering the expected yield per hectare and market price per tonne. However, the farmer should be aware that this level of coverage may not be sufficient to cover all potential losses in the event of a crop failure.
The data provided also includes a list of crop varieties and planting years, which may indicate that the farmer has experience with multiple crops and has been adapting to changing weather patterns and market conditions. However, the presence of anomalous dates (e.g., 1212, 1213, 1214) and older planting years (e.g., 1999, 2000) suggests that the data may not be entirely accurate or up-to-date.