Current status and perspective of remote sensing application in crop management

Abstract

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.

GEOBIA and Vegetation Indices in Extracting Olive Tree Canopies Based on Very High-Resolution UAV Multispectral Imagery

“…Sustainability and preservation of olive trees are especially important [8] due to the frequent impacts of various economic activities such as industry, wildfires [9], and tourism sector activities [10,11]. Preservation mostly depends on sustainable environmental management and precision agriculture (PA) methodologies [12][13][14][15]. Geospatial technologies and their products have become easily available and widely accessible in everyday life, which has advanced and accelerated their use in various research [16][17][18][19].…”

“…Analysis of VIs is generally performed with the use of MS sensors, enabling the classification of the study area based on spectral characteristics [46,47]. VIs are primarily used to distinguish observed crops or analyze the canopies of various plants [15,48]. A lot of authors use VIs in order to reach some new knowledge and conclusions regarding the vegetation in agriculture sectors.…”

Biochar and Fertilization Effects on Weed Incidence in Winter Wheat

“…Optimal fertilization leads to optimal crop stand and competition for light with weeds, which ultimately leads to a reduction in weediness [21]. Regarding optimal crop stand, better competition against weeds has been achieved recently by the use of remote sensing and precision farming, but mostly in areas under the management of large agribusiness companies (up to 40,000 ha in total [54]. At the Cacinci site, weed density and weed fresh weight were significantly higher with applied fertilization in the tillering stage.…”

Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management

“…However, modern technologies such as remote sensing sensors used to map and monitor contamination (oil, solid waste, soil erosion, algae blooms) and to assess the environmental impact or predict contamination trends are also gaining prominence [6]. With the help of satellite images, the reflectance of various objects in the range of electromagnetic radiation that is not visible to humans became measurable [7]. The importance of satellite images that can be of different spatial, radiometric, spectral and temporal resolutions and therefore applicable for different purposes has been recognized worldwide, including in Croatia [8][9][10].…”