Optimal crop allocation including market trends and water availability

Cervantes-Gaxiola, Maritza E.; Sosa-Niebla, Erik F.; Hernández‐Calderón, Oscar M.; Ponce-Ortega, José María; Ortiz-del-Castillo, Jesús Raúl; Rubio-Castro, Eusiel

doi:10.1016/j.ejor.2020.02.012

Cited by 17 publications

(3 citation statements)

References 38 publications

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“…In addition, given that arboreal crops are crops in which unconventional water use is allowed (i.e., direct and indirect use of wastewater), the importance of arboreal crops in crop allocation becomes even more apparent [39]. Arboreal crops are, in fact, the only type for which the use of wastewater is allowed.…”

Section: Discussionmentioning

confidence: 99%

Do Irrigation Water Requirements Affect Crops’ Economic Values?

Scatolini,

Vaquero-Piñeiro,

Cavazza

et al. 2023

Water

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The irrigation water requirements of different crops are becoming a pivotal driver for the governance strategies of water allocation and management. This paper estimates the impact of irrigation water requirements on economic value in terms of the yields and gross saleable production of 13 different crops cultivated in the Emilia-Romagna region (Italy) over the 2010–2020 period by exploiting a generalized propensity score matching approach. Results show that the overall irrigation water requirements affect crops’ economic value. There is a causal effect of water irrigation on economic value: positive only for high levels of water irrigation in the case of yields, while it reverses and assumes a concave shape for gross saleable production. However, the effect is mediated by the irrigation water requirements of different crops. In water scarcity conditions, the allocation of water to arboreal crops, given the effect of water irrigation on gross saleable production, is also positive for small quantities of water. This paper can help guide the design of more sustainable water management strategies and agricultural development policies to face climate change.

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Section: Discussionmentioning

confidence: 99%

Do Irrigation Water Requirements Affect Crops’ Economic Values?

Scatolini,

Vaquero-Piñeiro,

Cavazza

et al. 2023

Water

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“…The models proposed in prefarming decisions are based on deterministic market conditions such as demand or price while broader but very relevant issues such as droughts, unemployment, currency fluctuations, diseases, etc. are not incorporated into the models (Albornoz et al., 2020; Brulard et al., 2019; Cervantes‐Gaxiola et al., 2020). In addition, the present models are tested by either simulated data or limited real data from farms.…”

Section: Operational Efficiency In Farmingmentioning

confidence: 99%

Opportunities in farming research from an operations management perspective

Gupta

Berenji

Shukla

et al. 2023

Production and Operations Management

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We review and analyze the farming (upstream agribusiness supply chain) research literature since 1965 to identify farming research opportunities for operations management (OM) researchers. A majority of reviewed papers in our corpus, until the turn of the 21st century, primarily focus on improving operational efficiency and effectiveness of farming using optimization techniques. However, during the last two decades, farmers’ welfare and the interests of other stakeholders have drawn OM researchers’ attention. This expanded focus on farming research has become possible due to the proliferation of mobile communication devices and the Internet as well as advancements in information technology platforms and social media. Our review also shows that there is a paucity of OM literature that leverages increased data availability from the emergence of precision agriculture and blockchain to address major challenges for the farming sector emanating from climate change, natural disasters, food security, and sustainable and equitable agriculture, among others. Big data, in conjunction with opportunities for field‐based experimentation, artificial intelligence and machine learning, and integration of predictive and prescriptive analytics, can be leveraged by OM scholars engaged in farming research. We zero in on specific questions, issues, and opportunities for research in farming.

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“…However, in a commercial multicrop farm, cropland allocation is subjected to other several factors such as crop price, the demand for crops, system profitability, crop rotation in different cropping systems, soil health, cover cropping, weed, pest control, etc. Cervantes-Gaxiola et al [76] successfully simulated maize, wheat, alfalfa, and bean land allocation and their optimal scheduling for the years 2020, 2021, and 2022 while maximizing the total annual profit. Other parameters such as the operating costs, including the costs of fresh water, fertilizer, and pumping, and the capital costs, including the costs of storage tanks, treatment units, pipelines, and pumps, are considered in determining the profit.…”

Section: Important Of Crop Evapotranspiration In Decision Making For ...mentioning

confidence: 99%

Dynamics of Crop Evapotranspiration of Four Major Crops on a Large Commercial Farm: Case of the Navajo Agricultural Products Industry, New Mexico, USA

2022

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Crop evapotranspiration (ETa) is the main source of water loss in farms and watersheds, and with its effects felt at a regional scale, it calls for irrigation professionals and water resource managers to accurately assess water requirements to meet crop water use. On a multi-crop commercial farm, different factors affect cropland allocation, among which crop evapotranspiration is one of the most important factors regarding the seasonally or annually available water resources for irrigation in combination with the in-season effective precipitation. The objective of the present study was to estimate crop evapotranspiration for four major crops grown on the Navajo Agricultural Products Industry (NAPI) farm for the 2016–2010 period to help crop management in crop plant allocation based on the different objectives of the NAPI. The monthly and seasonal satellite-based ETa of maize, potatoes, dry beans, and alfalfa were retrieved and compared using the analysis of variance and the least significant difference (LSD) at 5% of significance. Our results showed the highly significant effects of year, months, and crops. The year 2020 obtained the highest crop ETa, and July had the most evapotranspiration demand, followed by August, June, September, and May, and the pool of April, March, February, January, December, and November registered the lowest crop ETa. Maize monthly ETa varied from 17.5 to 201.7 mm with an average seasonal ETa of 703.8 mm. The monthly ETa of potatoes varied from 9.8 to 207.5 mm, and their seasonal ETa averaged 600.9 mm. The dry bean monthly ETa varied from 10.4 to 178.4 mm, and the seasonal ETa averaged 506.2 mm. The alfalfa annual ETa was the highest at 1015.4 mm, as it is a perennial crop. The alfalfa monthly ETa varied from 8.2 to 202.1 mm. The highest monthly crop ETa was obtained in July for all four crops. The results of this study are very critical for cropland allocation and irrigation management under limited available water across a large commercial farm with multiple crops and objectives.

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Optimal crop allocation including market trends and water availability

Cited by 17 publications

References 38 publications

Do Irrigation Water Requirements Affect Crops’ Economic Values?

Do Irrigation Water Requirements Affect Crops’ Economic Values?

Opportunities in farming research from an operations management perspective

Dynamics of Crop Evapotranspiration of Four Major Crops on a Large Commercial Farm: Case of the Navajo Agricultural Products Industry, New Mexico, USA

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