Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests
Background Aboveground biomass (AGB) is a fundamental indicator of forest ecosystem
productivity and health and hence plays an essential role in evaluating forest carbon …
productivity and health and hence plays an essential role in evaluating forest carbon …
Comparative analysis of remote sensing and geo-statistical techniques to quantify forest biomass
Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …
[PDF][PDF] Tools of precision agriculture: A review
B Sahu, S Chatterjee, S Mukherjee, C Sharma - Int. J. Chem. Stud, 2019 - researchgate.net
Today's polluted environment and over exploited natural resource, demand for immediate
precautionary steps for sustainability of the earth. Agriculture also hugely contributes to such …
precautionary steps for sustainability of the earth. Agriculture also hugely contributes to such …
Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system
SK Reza, DC Nayak, S Mukhopadhyay… - Archives of Agronomy …, 2017 - Taylor & Francis
Alluvial soils constitute significant portion of cultivated land in India and it contributes
towards food grain production predominantly. The objectives of this study were to assess the …
towards food grain production predominantly. The objectives of this study were to assess the …
Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India
Delineation of management zones (MZs) are needed to manage fields in order to maximize
economic return, minimize environmental impact, and improve soil and crop management …
economic return, minimize environmental impact, and improve soil and crop management …
Spatial variability of potassium in agricultural soils of the canton of Fribourg, Switzerland
Potassium (K) is a crucial element for plant nutrition and its availability and spatial
distribution in agricultural soils is influenced by many agro-environmental factors. In …
distribution in agricultural soils is influenced by many agro-environmental factors. In …
Remote sensing and geographic information system: a tool for precision farming
The right time application of the right amount of input is a prerequisite to optimizing
profitability and sustainability with a lesser impact on environmental degradation. Such can …
profitability and sustainability with a lesser impact on environmental degradation. Such can …
Management zones delineation through clustering techniques based on soils traits, NDVI data, and multiple year crop yields
Availability of georeferenced yield data involving different crops over years, and their use in
future crop management, are a subject of growing debate. In a 9 hectare field in Northern …
future crop management, are a subject of growing debate. In a 9 hectare field in Northern …
Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at landscape scale in south **njiang, China
Traditional farmland management approaches treat farmland as a homogeneous unit,
leading to uneven distribution and waste of resources, which is contrary to precision …
leading to uneven distribution and waste of resources, which is contrary to precision …
[PDF][PDF] Assessing potassium mass balances in different countries and scales
Estimating nutrient mass balances using information on nutrient additions and removals
generates useful, practical information on the nutrient status of a soil or area. A negative …
generates useful, practical information on the nutrient status of a soil or area. A negative …