Suitability Calculation for Red Spicy Pepper Cultivation (Capsicum annum L.) Using Hybrid GIS-Based Multicriteria Analysis

Jurišić, Mladen; Plaščak, Ivan; Antonić, Oleg; Radočaj, Dorijan

doi:10.3390/agronomy10010003

Cited by 11 publications

(10 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the common approach is to use a 2 class (suitable/unsuitable) approach for modelling crop suitability [44][45][46][47], we propose a method that models four suitability classes (optimal, moderate, marginal and limited) as a 2 class system may over-estimate climate impacts by not scaling the suitability. Scaled four-class (high, moderate, marginal and unsuitable) suitability models are an alternative for determining suitability classes of agricultural crops from machine learning algorithms [31,[48][49][50][51]. To model the four suitability classes of the four crops, we applied the eXtreme Gradient Boosting (XGBoost) machine learning approach to the variables.…”

Section: Modelling Approachmentioning

confidence: 99%

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

2020

View full text Add to dashboard Cite

Climate change is projected to impact food production stability in many tropical countries through impacts on crop potential. However, without quantitative assessments of where, by how much and to what extent crop production is possible now and under future climatic conditions, efforts to design and implement adaptation strategies under Nationally Determined Contributions (NDCs) and National Action Plans (NAP) are unsystematic. In this study, we used extreme gradient boosting, a machine learning approach to model the current climatic suitability for maize, sorghum, cassava and groundnut in Ghana using yield data and agronomically important variables. We then used multi-model future climate projections for the 2050s and two greenhouse gas emissions scenarios (RCP 2.6 and RCP 8.5) to predict changes in the suitability range of these crops. We achieved a good model fit in determining suitability classes for all crops (AUC = 0.81-0.87). Precipitation-based factors are suggested as most important in determining crop suitability, though the importance is crop-specific. Under projected climatic conditions, optimal suitability areas will decrease for all crops except for groundnuts under RCP8.5 (no change: 0%), with greatest losses for maize (12% under RCP2.6 and 14% under RCP8.5). Under current climatic conditions, 18% of Ghana has optimal suitability for two crops, 2% for three crops with no area having optimal suitability for all the four crops. Under projected climatic conditions, areas with optimal suitability for two and three crops will decrease by 12% as areas having moderate and marginal conditions for multiple crops increase. We also found that although the distribution of multiple crop suitability is spatially distinct, cassava and groundnut will be more simultaneously suitable for the south while groundnut and sorghum will be more suitable for the northern parts of Ghana under projected climatic conditions.

show abstract

Section: Modelling Approachmentioning

confidence: 99%

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

2020

View full text Add to dashboard Cite

show abstract

“…Various forms of a multicriteria analysis are successfully applied to the agricultural crops, resulting in the recommendations for better agricultural land management (Radočaj et al, 2020b). An analytical hierarchical process (AHP) is one of the multicriteria analysis methods with a broad application in numerous activities worldwide (Cobuloglu and Büyüktahtakın, 2015;Jurišić et al, 2020). Its main feature is a mutual comparison of the relative influence of criteria pairs on an end result, which enables a more objective user's influence on an advantage calculation (Saaty, 1977).…”

Section: Gis-based Multicriteria Analysis For Suitability Evaluationmentioning

confidence: 99%

Current status and perspective of remote sensing application in crop management

Jurišić¹,

Radočaj²,

Šiljeg³

et al. 2021

j. cent. eur. agric.

Self Cite

View full text Add to dashboard Cite

Knowledge of the spatial distribution of agricultural crops and crop rotation is necessary for the understanding of the farming practices concerning the long-term sustainability of agricultural production. Agricultural crops are increasingly subject to drought due to the effects of global climate change, and the same is true for Croatia due to the constant rise in mean annual temperatures and uneven rainfall distribution. Remote sensing methods have proven to be superior in the detection and monitoring of drought compared to conventional methods of observation from meteorological stations. Information on the condition of crops in the early stages of development indicates potential irregularities in the development of agricultural crops. The objective of this paper is to provide a perspective for the application of remote sensing in crop management using state-of-the-art methods. Analysis of the possible implementation of these methods in Croatia was performed on a macro-and micro-level. Spatial classification, cropland suitability multicriteria analysis, drought assessment, weed detection and crop density calculation were evaluated according to the necessary equipment and data processing segments. Remote sensing application in crop management offers a potential basis for better crop management both at the macro-level for land use planning and at the micro-level for family farms.

show abstract

“…Figure 10 displays various terrain topographic models calculated using SRTM DEM: slope [61], wind exposition index, potential incoming solar irradiation [62], flow accumulation model [63], and topographic openness [64]. Terrain slope is the basic topographical parameter of the terrain and is widely used in spatial planning in civil engineering, transport, and environmental studies [65]. Potential solar irradiation was calculated for the year 2020, using a 70% generalized atmospheric permeability parameter, which includes the influences of clouds, fog, and precipitation on the amount of incoming solar radiation.…”

Section: Modelling Of Terrain Topographic Parametersmentioning

confidence: 99%

“…The appropriate waste management method, especially in urban environments, reduces air, water and soil pollution caused by the discharge of ammonia, heavy metals, and nitrates from waste [79]. The application of GIS-based multicriteria analysis in agriculture focuses on the calculation of cropland suitability according to climatic, pedological, and topographical terrain conditions [65]. The selection of the optimal area for crop cultivation reduces the need for the application of fertilizer and pesticides, resulting in a lower release of heavy metal contaminants into the environment.…”

Section: Land Suitability Determination Studies Using Gis-based Multicriteria Analysismentioning

confidence: 99%

Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review

Radočaj

Obhođaš

Jurišić

et al. 2020

Land

Self Cite

View full text Add to dashboard Cite

The application of global open data remote sensing satellite missions in land monitoring and conservation studies is in the state of rapid growth, ensuring an observation with high spatial and spectral resolution over large areas. The purpose of this study was to provide a review of the most important global open data remote sensing satellite missions, current state-of-the-art processing methods and applications in land monitoring and conservation studies. Multispectral (Landsat, Sentinel-2, and MODIS), radar (Sentinel-1), and digital elevation model missions (SRTM, ASTER) were analyzed, as the most often used global open data satellite missions, according to the number of scientific research articles published in Web of Science database. Processing methods of these missions’ data consisting of image preprocessing, spectral indices, image classification methods, and modelling of terrain topographic parameters were analyzed and demonstrated. Possibilities of their application in land cover, land suitability, vegetation monitoring, and natural disaster management were evaluated, having high potential in broad use worldwide. Availability of free and complementary satellite missions, as well as the open-source software, ensures the basis of effective and sustainable land use management, with the prerequisite of the more extensive knowledge and expertise gathering at a global scale.

show abstract

Suitability Calculation for Red Spicy Pepper Cultivation (Capsicum annum L.) Using Hybrid GIS-Based Multicriteria Analysis

Cited by 11 publications

References 63 publications

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

Impacts of climate change on agro-climatic suitability of major food crops in Ghana

Current status and perspective of remote sensing application in crop management

Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review

Contact Info

Product

Resources

About