Systematic review of occupational hazards at postharvest grain operations

Work-related injuries among farm workers engaged in agricultural operations in India: a cross-sectional study

PURPOSE

We aim to investigate nature, risk factors as well as magnitude of farm injuries and fatalities among agricultural workers in rural India.

METHODS

An Agricultural Injury Study (AIS) was conducted using selected 1703 villages in eight states of rural India based on statistical consideration using unstructured proforma for 3086 victims/respodents, who were mostly agricultural workers or farmers. Injury incidence rate (IIR) was estimated per 1000 machines/tools per year for farm machinery and hand tools injuries, and per 100 000 workers per year for other sources. Questions about the injuries involved in farming tasks were used.

RESULTS

About 36.2% fatalities were caused by farm machinery that involves tractors. The IIR per year of farm machinery, hand tools and injuries due to other sources were 3.2 per 1000 machines, 0.7 per 1000 tools and 77 per 100 000 workers, respectively. Correlation between number of injury-prone agricultural machines and number of farm machinery injury is r=0.80 (number of injuries increases with increase in number of machines). The χ²=72.53; p<0.01 of number of hand tools and number of farm hand tools-related injuries, that is, they are statistically significant.

CONCLUSION

Exposures to agricultural machineries during farming operations can result in injuries confounding that may be fatal or non-fatal. Mapping down the cause and taking preventive measure to reduce the losses are of major concern. Also, customised safety programme as well as legislative awareness is needed to be raised for the higher injury incidence group.

Towards a software architecture to manage occupational safety at grain handling and storage facilities

The study had as objective to evaluate occupational hazards on grain storage unit to define a conceptual model, implemented in an algorithm to manage the grains storage facilities safety standards compliance. Sampling points location were defined for static quantification of noise, dust and heat stress hazards in grains pre-processing operations to indicate the effectiveness of the control measures implemented. Safety standards applied to grain handling and storage facilities were identified and selected. Chart flows were elaborated to the algorithm logics and conceptual modeling. The highest level of noise was present in the grain cleaning operation (99.1 dB), while the expedition operation has the highest level of dust (20.27%). The heat stress was present in the grain drying operation (43.64 WBGT). Noise analysis did not show a difference between grains, only between operations. The flow of corn grain mass caused higher dust concentrations in the expedition operation. The method applied to characterize and quantify the hazards in grain storage units was satisfactory, and it is recommended as standard, for use in corn and soybean grains handling and storage units. The algorithm to manage occupational safety at storage facilities collaborates to monitor the safety compliance on postharvest operations.