Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Salt stress in plants and mitigation approaches
Salinization of soils and freshwater resources by natural processes and/or human activities
has become an increasing issue that affects environmental services and socioeconomic …
has become an increasing issue that affects environmental services and socioeconomic …
The soil organic matter in connection with soil properties and soil inputs
V Voltr, L Menšík, L Hlisnikovský, M Hruška, E Pokorný… - Agronomy, 2021 - mdpi.com
The content of organic matter in the soil, its labile (hot water extractable carbon–HWEC) and
stable (soil organic carbon–SOC) form is a fundamental factor affecting soil productivity and …
stable (soil organic carbon–SOC) form is a fundamental factor affecting soil productivity and …
The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …
agricultural production, while achieving both high and quality yields and minimizing the …
Horticulture 4.0: Adoption of industry 4.0 technologies in horticulture for meeting sustainable farming
The United Nations emphasized a significant agenda on reducing hunger and protein
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …
MachIne learning for nutrient recovery in the smart city circular economy–A review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
The vital roles of parent material in driving soil substrates and heavy metals availability in arid alkaline regions: A case study from Egypt
MA Alnaimy, AS Elrys, M Zelenakova… - Water, 2023 - mdpi.com
Despite studies focusing on soil substrates (carbon and nitrogen) and heavy metal
availability, the impact of diversified parent materials in arid alkaline regions has received …
availability, the impact of diversified parent materials in arid alkaline regions has received …
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning
Abstract Evaluation of spatial variability and mapping of soil properties is critical for
sustainable agricultural production in arid lands. The main objectives of the present study …
sustainable agricultural production in arid lands. The main objectives of the present study …
[HTML][HTML] Machine learning in nutrient management: A review
In agriculture, precise fertilization and effective nutrient management are critical. Machine
learning (ML) has recently been increasingly used to develop decision support tools for …
learning (ML) has recently been increasingly used to develop decision support tools for …
Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression
Soil pollution is a big issue caused by anthropogenic activities. The spatial distribution of
potentially toxic elements (PTEs) varies in most urban and peri-urban areas. As a result …
potentially toxic elements (PTEs) varies in most urban and peri-urban areas. As a result …