## 1 Introduction  
The constant increase of populations with higher incomes leads to a demand for more food. As such, in the last 30 years, food production has increased by more than 100% [1]. This has had repercussions on intensive production crops leading to the consumption of fertilizers, machinery, and supplies, as well as transportation for their distribution to large urban centers. All of these agricultural supply chains require considerable amounts of energy, mainly fossil fuels. Both consumption indicators are direct vectors for the generation of environmental impacts. Nowadays, there is a growing concern about climate change due to the increase in greenhouse gas (GHG) emissions. The agricultural sector contributes approximately 13% of worldwide GHG emissions [2]. In addition, intensive agriculture increases consumption of irrigation water for continuous food production, which causes water stress, especially in areas with less rainfall [3; 4]. The use of water grew at almost twice the rate of population increase in the last century and 70% of the total water consumed worldwide is used by agriculture [5]. The parametric indicators of carbon, energy, and water footprint are important quantities to verify the potential direct and indirect environmental effects of agricultural products [6; 7; 8; 9; 10; 11]. Among the different existing methodologies to carry out the aforementioned, LCA stands out, given that it allows detailed tracking of process flows throughout the production and supply chain, as well as evaluation of inputs and outputs of the system, including its final disposal as waste [12]. Pineapple is a tropical fruit with many health benefits due to its anti-inflammatory and digestive potential, antioxidant content and immune support, and more [13]. Internationally, it is a fruit of high economic value, with a world production of 29,929,843 tons in 2018 [14]. Currently, pineapple demand has increased in 16 countries, including China and Europe [15]. However, as a result of harvesting pineapple, adverse environmental impacts are generated during the different stages spanning from harvest to industrialization. It is necessary to identify and quantify these impacts to detect areas of opportunity that allow their minimization and achieve sustainable production. In the literature consulted, there are various studies on the LCA of pineapple with different valorization methods; their main impact categories are GHG emissions, water, and energy consumption [16; 17]. Besides including the production impact categories, Usubharatana and Phungrassami [18], and Frankowska, Jeswani, and Azapagic [19], include pineapple (_Cayena Lisa_) packed in syrup, accounting for the use of organic and synthetic fertilizers, herbicides, and fossil fuels. It was found that fertilization contributes up to 79% of the carbon footprint from the agricultural stage, while fuel, chemical products, and packaging for the industrial phase contribute 42% of CO\({}_{2}\) eq. Other research consulted assessed the environmental impacts generated by production and fresh packing of pineapple for the carbon footprint and water categories. Carbon footprint was 32% for the agricultural stage and 68% for the industrial one [20]. An additional study accounted for the effects caused by the production and packaging of pineapple through carbon footprint, water footprint, and energy footprint. The agricultural stage was found to be the main source of carbon footprint impacts (60%); of these, 40% were caused by the use of fertilizers, 18% were originated by fuel consumption, and the rest were caused by other activities. As for the packaging for the fresh fruit, box production generated a 24% contribution of CO\({}_{2}\) eq emissions and refrigeration during the distribution led to 15% [21]. As shown, although there is published information regarding the pineapple production process, this does not fully comprise the agricultural stage and some of the main pineapple processing scenarios.