Tool for the Establishment of Agro-Management Zones Using GIS Techniques for Precision Farming in Egypt

Abstract

Agro-management zones recently became the backbone of modern agriculture. Delineating management zones for Variable-Rate Fertilization (VRF) can provide important ecological benefits and better sustainability of the new Egyptian farming projects. This article aims to represent an approach for delineating management zones using Spatial Multicriteria Evaluation (SMCE) within irrigated peanut pivot situated at the eastern Nile Delta, Egypt. The results indicated that soil data, such as soil texture, soil type, the elevation of the landscape, and slope, allow for sampling the study area into similar classes and in smaller units, along with a crop productivity map. The effects of the variability in soil characteristics within the field on Peanut yields are predicted by the soil suitability model. In addition, final management zones map a varied amount of nutrients that could be added to different pivot zones. In conclusion, mapping soil units with a sufficient number of field observations within each class provided an acceptable accuracy, and a good spatial distribution of the suitability classification was achieved. Hence, agro-management zones are essentially needed for policymakers in a specific field in order to furnish an evaluation about the transformations at a territorial scale and for studying the strategies to realize environmental sustainability and to reduce the territorial impacts.

Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco

“…Precipitation represents an important factor contributing to flooding [36][37][38][39]. The rainfall map for the study area was interpolated using the Inverse Distance Weighting (IDW) tool [40] and classified into five classes using the natural breaks classification method: 297-330 mm, 330-366 mm, 366-404 mm, 404-453 mm, and 453-491 mm (Figure 4c).…”

Role of Crop-Protection Technologies in Sustainable Agricultural Productivity and Management

“…The rapid development of precision agriculture has been made possible using the Global Positioning System (GPS) with geographical information systems (GIS) techniques and remote sensing data. Applications of GIS in agriculture have grown since the early days of GIS [59][60][61][62]. Therefore, the assessment of spatial differences in soil properties and characteristics is very important for crops with the help of technology [Internet of Things (IoT), unmanned aerial vehicles (UAVs), and wireless sensor networks (WSNs)] [63,64].…”

Reduction in Nitrogen Rate and Improvement of Nitrogen Use Efficiency without Loss of Peanut Yield by Regional Mean Optimal Rate of Chemical Fertilizer Based on a Multi-Site Field Experiment in the North China Plain

“…In recent decades, studies have attempted to develop various methods to optimize the application rates of chemical fertilizer to solve the associated economic and environmental problems caused by improper application. These techniques of fertilization recommendation were based on soil testing [ 7 ], aboveground plant analysis [ 8 ], yield–fertilizer rate response modeling [ 9 ], digital and information technology [ 10 , 11 , 12 ], and integrated soil-crop system management [ 13 , 14 ]. Most of these recommended techniques have focused on site-specific optimal nutrient rates and have required field trials, soil samples, plant collection, and laboratory analysis, factors that can be rather time-consuming, labor-intensive, and expensive.…”