The study delves into the identification and analysis of constraints faced by workers across diverse enterprises and farmers engaged in agricultural cultivation. Through extensive discussions, a plethora of constraints were discerned, each unique to its respective enterprise. Utilizing a comprehensive methodology, constraints were categorized and evaluated through both Total Scoring Method and Principal Component Analysis (PCA).The Total Scoring Method facilitated the systematic ranking of constraints based on respondents' situational perceptions. This involved assigning scores to each constraint and subsequently calculating their frequency to determine their significance. Concurrently, PCA was employed to extract factors, rotate, and interpret them, unveiling underlying patterns and relationships among constraints.In the realm of agricultural cultivation, discussions with farmers elucidated a myriad of constraints. Notably, lower market value for agricultural products and lack of storage reservoirs emerged as prominent issues. Through PCA, these constraints, along with others, were systematically categorized into distinct factors, shedding light on their interconnectedness and impact.The findings underscore the multifaceted nature of constraints impeding enterprise operations and agricultural productivity. Moreover, the scree plot analysis confirmed the relevance of the first 12 factors, collectively explaining a significant portion of the variability in the data. The research provides valuable insights into the constraints faced by workers across different enterprises and farmers in agricultural cultivation. It emphasizes the importance of addressing these constraints through targeted interventions and strategic initiatives to foster sustainable development and enhance productivity in diverse sectors.
