The food shortage and the population growth are most challenges facing sustainable development worldwide. Advanced technologies such as artificial intelligence (AI), Internet of Things (IoT), mobile internet can provide realistic solutions to that world. Therefore, this work focuses on new approaches regarding smart farming (SF) from 2019 2021, where illustrates data gathering, transmission, storage, analysis, also, suitable solutions. IoT is one essential pillars in systems, it connects...

Estimation of soil moisture content (SMC) is an important aspect precision irrigation water management. Soil affects several factors such as vegetation cover, evapotranspiration (ET) and crop growth. This study aims to predict using optical remote sensing data Synthetic Aperture Radar (SAR) Sentinel-1 the correlation with pattern. The was carried out in east Nile Delta Egypt (30° 31 30° 33 N, 31° 55 05 E). A number 100 surface samples (0–10) were collected represent different types area....

This study addressed the increasing challenges of climate change by exploring use machine learning (ML) algorithms to predict reference evapotranspiration (ETo). Accurate ETo prediction is crucial for optimizing irrigation water management. research aimed assess reliability and accuracy ML in predicting values. Three calculation methods were employed: Penman-Monteith (PM), Hargreaves (HA), Blaney-Criddle (BC). The analyzed other variables using modified Mann-Kendall test (m-MK) Theil Sen's...

it is necessary to apply a remote sensing-based system for rice cultivation assessment parallel with the field measurements of crop biophysical parameters. This study aims map cultivated areas and give an estimate expected yield (ton/ha) using Sentinel-2 satellite data. The was carried out in experimental site Kafr El-Sheikh governorate total area 3240 ha. multi-temporal Normalized Difference Vegetation Index (NDVI) extracted from nine imagery cover whole summer season. supervised nearest...

The common Soil in Egypt is clay soil so irrigation system tradition surface with 60% efficiency. Agricultural sector consumes more than 80% of water resources under (tradition methods). In arid and semi-arid regions consumptive use the best index for requirements. A large part applied to farm land consumed by Evapotranspiration (ET). Irrigation consumption each physical climatic conditions scale will be easier remote sensing techniques. Egypt, cycle often tow agricultural seasons yearly;...

Abstract According to the most recent Köppen–Geiger classification, Arab countries are divided into seven climate classes. Ground data availability is limited in developing countries, and ground meteorological scarce concentrated a few locations, rather than station maintenance capability being adequate for responsibilities. The current study uses remote sensing create regional classification maps of reference evapotranspiration (ETo), potential crop evapotranspiration, vegetation cover from...

The objective of the current work is to generate statistical empirical rice yield estimation models under local conditions Egyptian Nile delta. methodology based on regressing measured with satellite derived spectral information or leaf area index (LAI). LAI field measurements and from SPOT data collected during two crop seasons are examined against models. Near-infrared red bands, six vegetation indices 100 points used as main inputs for modeling process while 20 same validation process....

A research project was conducted as collaboration between the National Authority for Remote Sensing and Space Sciences (NARSS) in Egypt Institute of Applications (IRSA), Chinese Academy Sciences. The objective this study is to generate normalized difference vegetation index (NDVI)–leaf area (LAI) statistical inversion models three rice varieties planted (Giza-178, Sakha-102, Sakha-104) using data two growing seasons. Field observations were carried out collect LAI field measurements during...

Incorporating the Internet of Things (IoT) and smart irrigation systems into developing regions encounters significant financial constraints. To address this gap, study aimed to identify most effective locations for sensor deployment using Geographic Information System (GIS) techniques, maximizing spatial coverage soil moisture states while minimizing number required wireless nodes. Ensuring accuracy YL-69 sensors is pivotal system efficiency therefore, a volumetric water content (VWC)...

The main idea of this research depends on defining and mapping the borders minimum maximum reference Evapotranspiration (ETo) a spatial temporal basis (over period from 1979 to 2014 in every region Egypt). Acceptable results could be achieved through using appropriate equation adjusted local conditions calculate ETo. These should help Egyptian government policy makers identify priorities for agricultural land reclamation, where most important limiting factor Egypt, sector, is water....

Evapotranspiration (ET) is a significant consumer of irrigation water and precipitation on cropland. Global regional interest in the sustainable management limited freshwater supplies to meet rapidly increasing population food demands has resulted advanced scientific research ET measurement, rapid accounting, schedules NENA region. The primary goal this paper compare actual daily evapotranspiration collected by remote sensing model validated Energy Balance (EB) flux tower field measurements....

Accurate assessment of evapotranspiration is essential for crop irrigation planning. In developing countries and given the cost evaluating based on Penman-Monteith equation, this research an attempt to provide a simple equation that depends only temperature estimate serve as alternative method FAO56-PM when air data are available problem missing meteorological solved. Four reference methods (ET) were compared under local climatic conditions El-Nobaria region in northern Egypt. The...

In arid and semi-arid regions, agricultural water consumption information is very important to managing developing resources. Potential crop evapotranspiration (ETc) the major parameter in resources management. Remote sensing techniques were involved this work evaluate Hargreaves method for estimating ETc depending on satellite data. The difference between air temperature (Tair) Land Surface Temperature (LST) varies particularly by surface status. Normalized Difference Vegetation Index...