Application of classic and soft computing for modeling yield and environmental final impact in vegetable production (a case study: transplanting onion in Isfahan province, Iran)

Elhami, Behzad; Raeini, Mahmoud Ghasemi Nejad; Taki, Morteza; Marzban, Afshin; Heidarisoltanabadi, Mohsen

doi:10.1007/s11356-022-18700-6

Cited by 10 publications

(5 citation statements)

References 47 publications

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“…Ref. [71] supports this, illustrating onion production's diverse distribution in Iran based on resource availability. Additionally, Ref.…”

Section: Discussionmentioning

confidence: 66%

“…Yazd, known for its arid climate and well-drained sandy soils, provides an environment that prevents fungal diseases while offering adequate sunlight and moderate temperatures, fostering robust onion growth. Esfahan benefits from fertile soils like loam and clay loam, coupled with a moderate climate featuring distinct seasons, creating ideal conditions for successful onion cultivation [71]. Razavi Khorasan's geographical diversity, varying landscapes, soils, and altitude variations support the thriving of diverse onion varieties.…”

Section: Discussionmentioning

confidence: 99%

“…Ref. [71] identifies native onion cultivars and their optimal conditions, while [72] introduces challenges like a single annual production season, high bulb losses during storage, and the need for resistant cultivars and pest management. Ref.…”

Section: Discussionmentioning

confidence: 99%

“…Ref. [71] suggests key research goals for Iran, including extending shelf life, reducing resource consumption, and improving pest control in onion cultivation.…”

Section: Discussionmentioning

confidence: 99%

“…Ref. [71] suggests key research goals for Iran, including extending shelf life, reducing resource consumption, and improving pest control in onion cultivation. In Iran, canola thrives in regions with moderate climates, adequate moisture, fertile soil, and proper farming practices [73], yielding well in areas around northwestern regions (Ardebil, West Azarbaijan) [74], and parts of the central plateau (Esfahan).…”

Section: Discussionmentioning

confidence: 99%

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Estimating Yield Response Functions to Nitrogen for Annual Crops in Iran

Aghabeygi,

Dönmez

2024

Agronomy

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Nitrate is a crucial element for crop growth, and its optimal application is essential for maximizing agricultural yield. In Iranian agriculture, there is a substantial gap between recommended nitrate usage and what farmers actually apply. In this study, our primary objective is to determine the most effective utilization of nitrate for crop cultivation. Simultaneously, we aim to analyze the factors that contribute to the disparity between optimal and current nitrate application practices. Furthermore, our research explores the impact of these differences on regional variations in crop yields. This is achieved using a quadratic yield response function model based on unbalanced panel data spanning the years 2000 to 2016, which includes a total of 14 crop activities and encompasses 31 administrative regions. The results show that rice exhibits the highest nitrogen usage, while rain-fed wheat demonstrates the lowest utilization at the optimal point. Depending on whether random- or fixed-effects estimation is found to be the most suitable specification, average yields corresponding to the optimal level of nitrogen use are calculated by region, or the average across all regions. In Iran, the top-performing regions for cereals like rain-fed wheat and irrigated barley can achieve yields of 1.33 and 3 t/ha, respectively. These yields represent a 31% and a 9% increase from the levels observed in 2016. The outcomes derived from the estimated yield response function will be integrated into comprehensive agricultural, economic, and environmental optimization models. These integrated models will facilitate the assessment of various fertilizer policies on fertilizer use, land allocation, farm-household incomes, and environmental externalities, such as nitrate leaching and nitrate balance. This study holds substantial scientific promise, given its exploration of the policy implications surrounding fertilizer usage, making it crucial not only for Iran, but also for many developing nations grappling with inefficient and unsustainable agricultural practices. It represents the first of its kind in the literature, providing estimations of optimal nitrogen use and crop yield points across all regions in Iran. This is achieved through advanced visualization using GIS maps.

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“…Ref. [71] supports this, illustrating onion production's diverse distribution in Iran based on resource availability. Additionally, Ref.…”

Section: Discussionmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Ref. [71] suggests key research goals for Iran, including extending shelf life, reducing resource consumption, and improving pest control in onion cultivation.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations