[HTML][HTML] Crop yield prediction using multi sensors remote sensing
Pre-harvest prediction of a crop yield may prevent a disastrous situation and help decision-makers
to apply more reliable and accurate strategies regarding food security. Remote …
to apply more reliable and accurate strategies regarding food security. Remote …
Contribution of eco-friendly agricultural practices in improving and stabilizing wheat crop yield: A review
…, AO Utkina, KV Isaev, ES Mohamed, DE Kucher - Agronomy, 2023 - mdpi.com
Wheat is considered to be a strategic crop for achieving food security. Wherefore, one of the
current objectives of today’s agriculture is to ensure a consistent and sustainable yield of …
current objectives of today’s agriculture is to ensure a consistent and sustainable yield of …
Assessment of soil contamination using gis and multi-variate analysis: A case study in El-Minia Governorate, Egypt
The issue of soil contamination is one of the most important subjects that interests decision-makers
all over the world. It is also related to soil fertility and food security. The soils adjacent …
all over the world. It is also related to soil fertility and food security. The soils adjacent …
Integration of RUSLE model, remote sensing and GIS techniques for assessing soil erosion hazards in arid zones
Soil erosion constitutes one of the main environmental and food security threats, derived
from the loss of its productive capacity. With the help of remote sensing (RS), geographic …
from the loss of its productive capacity. With the help of remote sensing (RS), geographic …
Assessment of soil capability and crop suitability using integrated multivariate and GIS approaches toward agricultural sustainability
Land evaluation has an important role in agriculture. Developing countries such as Egypt
face many challenges as far as food security is concerned due to the increasing rates of …
face many challenges as far as food security is concerned due to the increasing rates of …
A novel approach for predicting heavy metal contamination based on adaptive neuro-fuzzy inference system and GIS in an arid ecosystem
The issue of agricultural soil pollution is especially important as it directly affects the quality
of food and the lives of humans and animals. Soil pollution is linked to human activities and …
of food and the lives of humans and animals. Soil pollution is linked to human activities and …
Integration vis-NIR spectroscopy and artificial intelligence to predict some soil parameters in arid region: a case study of Wadi Elkobaneyya, South Egypt
Understanding and determining soil properties is reflected in improving farm management
and crop production. Soil salinity, pH and calcium carbonate are among the factors affecting …
and crop production. Soil salinity, pH and calcium carbonate are among the factors affecting …
Detecting, analyzing, and predicting land use/land cover (LULC) changes in arid regions using landsat images, CA-Markov hybrid model, and GIS techniques
Understanding the change dynamics of land use and land cover (LULC) is critical for efficient
ecological management modification and sustainable land-use planning. This work aimed …
ecological management modification and sustainable land-use planning. This work aimed …
[HTML][HTML] How Can Soil Quality Be Accurately and Quickly Studied? A Review
Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This
review examines the definition, evaluation methods, indicator selection, and relevant case …
review examines the definition, evaluation methods, indicator selection, and relevant case …
[HTML][HTML] Land Suitability Assessment and Crop Water Requirements for Twenty Selected Crops in an Arid Land Environment
Expanding projects to reclaim marginal land is the most effective way to reduce land use
pressures in densely populated areas, such as Egypt’s Nile Valley and Delta; however, this …
pressures in densely populated areas, such as Egypt’s Nile Valley and Delta; however, this …