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According to the physical characteristics of cotton and the work characteristics of cotton pickers in the field, during the picking process, there is a risk of cotton combustion. The cotton picker working environment is complex, cotton ignition can be hidden, and fire is difficult to detect. Therefore, in this study, we designed an improved algorithm for multi-sensor data fusion; built a cotton picker fire detection system by using infrared temperature sensors, CO sensors, and the upper computer; and proposed a BP neural network model based on improved mutation operator hybrid gray wolf optimizer and particle swarm optimization (MGWO-PSO) algorithm based on the BP neural network model. This algorithm includes the introduction of a mutation operator in the gray wolf algorithm to improve the search ability of the algorithm, and, at the same time, we introduce the PSO algorithm idea. The improved fusion algorithm is used as a learning algorithm to optimize the BP neural network, and the optimized network is used to process and predict the data collected from temperature and gas sensors, which effectively improves the accuracy of fire prediction. The sensor measurements were compared with the actual values to verify the effectiveness of the GWO-PSO-optimized BP neural network model. Once experimentally verified, the improved GWO-PSO algorithm achieves a correlation coefficient R of 0.96929, a prediction accuracy rate of 96.10%, and a prediction error rate of only 3.9%, while the system monitors an accurate early warning rate of 96.07%, and the false alarm and omission rates are both less than 5%. This study can detect cotton picker fires in real time and provide timely warnings, which provides a new method for the accurate detection of fires during the field operation of cotton pickers. [ABSTRACT FROM AUTHOR]

Abstract The aim of the present study is to analyze working conditions in manual cotton harvesting on small properties, in Catuti region, Minas Gerais State, Brazil by analyzing collectors’ activity in irrigated and rainfed crops, as well as labor relationships between small farmers and pickers. The study followed a qualitative methodological approach based on field footages and systematic observations. Semi-structured interviews were carried out with cotton collectors, public authorities and with cotton farmers' cooperative representatives in Catuti-MG, as well as focus groups with cotton farmers. Labor relationships between cotton farmers and collectors are linked to the region’s socioeconomic aspects. Payment based on production technique is the basis for collectors' wage calculations. This technique, whether based on rainfed or irrigation, has straight influence on work processes and on pickers’ remuneration. These pickers develop strategies to increase their productivity and, consequently, their salary, as well as to protect their health.

Women are the main cotton pickers in Pakistan even from their childhood, but due to unawareness of pesticide risks and poor knowledge of personal protection opportunities, they typically do not use personal protective measures. Albeit a major agricultural topic in Pakistan, relevant research is limited. The present study illustrates health problems from pesticide exposure during cotton harvest and the use of personal protective measures among 260 female cotton-picking workers from Shaheed Benazirabad District of Sindh Province in southern Pakistan. Skin injury, eye injury, headache, stomachache, and fever were the main health problems due to pesticide exposure according to workers' experience. Medical treatment costs of health problems were more than double (2.48 times higher) than preventive measures costs. More than half of the cotton workers surveyed did not use any protective measure during cotton picking, while 22.3% used a muffler/scarf/cloth for covering their face and 10.8% used gloves. Covering face with muffler/scarf/cloth was higher in young (P < 0.05), married (P < 0.05), and high experienced workers (P < 0.05), while no significant trends were found in the use of gloves. The use of protective measures was positively correlated with education and some experience in cotton picking. Binary logit regression showed that advanced age and high picking experience were positively associated with the use of personal protective measures, while illiteracy, traditional treatment, and medical treatment in case of illness were negatively associated with the use of personal protective measures. Findings shed new light on the topic of personal safety among women cotton pickers in Pakistan. Increasing formal education and implementing training programs for personal protective measures are important to reduce health risk and health cost by pesticides among women workers. Unlabelled Image • Health problems in women cotton workers from Sindh Province, Pakistan are reported. • Skin and eye injury, headache, stomachache, and fever were the main health problems. • Medical treatment costs were more than double of the costs for preventive measures. • Half of the cotton workers surveyed did not use protective measures during picking. • Illiteracy and health treatment were negatively associated with protective measures. [ABSTRACT FROM AUTHOR]

The use of personal protective equipment (PPE) during cotton harvesting is critical for securing better health for female cotton pickers in the developing countries where health facilities are not sufficiently available to the masses in the rural areas. Despite increasing the efforts in increasing awareness about the benefits of PPE among the farm workers, a vast majority of the farm workers including pickers don't use the PPE. The present study examines health impacts of cotton harvesting in Pakistani Punjab along with the factors affecting the use of PPE among the cotton pickers. Cross-sectional data collected from Vehari district is used. The study estimates health cost and the use of PPE among the young and elder cotton pickers. Headache, sleeplessness, cough, flue/fever, skin and eyes problems are reported by the young and elder cotton pickers. Personal protective equipment is rarely used during picking. However, the young pickers relatively adopt more PPE compared to the elder cotton pickers. Health cost of cotton picking is US$2.96 and 3.06 per season during the year for the young and elder cotton pickers, respectively. Results of logit model show that health cost, age, education below 8 th grade, perception of temporary impact and health problems are important determinants of adopting PPE among the cotton pickers. The findings of the study conclude that the use of PPE can be realized through proper training and education of cotton pickers and farm workers. [ABSTRACT FROM AUTHOR]

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