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Effects of binder types and other significant variables on the unconfined compressive strength of chemical-stabilized clayey soil using gene-expression programming
Soil stabilization is an in situ soil treatment in which soils are mixed with cementitious or other chemical stabilizing agents. Determining the...
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WHO-YOLO NET: soil prediction and classification based on YOLOV3 with whale optimization
Soil prediction techniques help to determine whether a particular crop will grow in a given area. The use of deep learning algorithms with complex...
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Monitoring Soil Wetness Using Ground-Based L-Band Scatterometer
Microwave scatterometers have been used in both ground-based and platform-mounted remote sensing applications. The primary use of microwave...
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Intelligent organic matter prediction of agriculture soil using satellite images
Soil Organic Matter (SOM) is one of the significant features in soil management. It provides essential information to improve the nutrients of the...
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Soil type identification model using a hybrid computer vision and machine learning approach
Computer vision and its technologies are being used in the area of agricultural automation to identify, locate, and track targets for further image...
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Assessing and Managing Soil Quality with Geodata: The IQS Project
Despite its soil protection regulation, ongoing land sealing and soil loss have continued over the past three decades and Switzerland lacks a...
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Soil Image Classification Using Transfer Learning Approach: MobileNetV2 with CNN
This paper presents a novel study on soil image classification, leveraging the synergistic potential of transfer learning and convolutional neural...
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Thermal Drone Images as a Predictor of Soil Moisture Values
Drones are one of the latest additions to the arsenal of technologies for precision farming. Their use is still restricted but is expected to grow as...
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Crop classification and prediction based on soil nutrition using machine learning methods
In India, farmers generally grow a traditional crop or the crop that is in demand resulting in poor yield. In the former case, the nutritional value...
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Boruta-AttLSTM: A Novel Deep Learning Architecture for Soil Moisture Prediction
Water scarcity is worsening due to poor water management in irrigated areas, which directly impacts global food safety. Furthermore, effective...
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Neural compensator for PI soil moisture control
The spatial and temporal variability of a cultivated soil, with technified irrigation systems, requires adaptive control systems to the varying...
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Determination of Crop Suitability Based on Soil pH Using Image Processing and ANN
Indian economy is largely agriculture based. With the increasing population, there is need for technological advancements in the field of agriculture...
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Enhancement and analysis of hyperspectral satellite images for Soil Study and Behavior
Using soil maps at the proper scales can help with environmental and agricultural decision-making. In this way, soil properties have been...
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Soil classification using active contour model for efficient texture feature extraction
Precision farming is a systematic approach in agriculture that aims in improving economic and environment status of the farmers. It is achieved by...
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Advances in Soil Resource Management in Geoinformatics Domain: A Comprehensive Review
Soils provide nutrient and structural support to grow the plants. Hence, soil resource management entails the collection, characterization, analysis,...
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Soil volumetric water content prediction using unique hybrid deep learning algorithm
Soil volumetric water content (VWC) is one of the key factors in hydrological cycles and responsible for inducing droughts and floods. Therefore, the...
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Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks
Water movement in soil is essential for weather monitoring, prediction of natural disasters, and agricultural water management. Richardson-Richards’...
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Convolutional Neural Networks based classifications of soil images
The utilization of Artificial Intelligence (AI) and Machine Learning(ML) in the image processing domain is useful to detect and recognize the types...
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An efficient IoT-based soil image recognition system using hybrid deep learning for smart geotechnical and geological engineering applications
Soil color recognition through AI approaches is crucial for efficient and rapid soil analysis in geotechnical engineering. It enables improved site...
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Research on Soil Moisture Prediction Based on LSTM-Transformer Model
Soil moisture is one of the basic climate variables of the global climate observation system, and the prediction of soil moisture is of great...