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 …
Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches
JP Bharadiya, NT Tzenios… - Journal of Engineering …, 2023 - classical.goforpromo.com
The art of predicting crop production is done before the crop is harvested. Crop output
forecasts will help people make timely judgments concerning food policy, prices in markets …
forecasts will help people make timely judgments concerning food policy, prices in markets …
[HTML][HTML] Crop yield prediction using machine learning: A systematic literature review
T Van Klompenburg, A Kassahun, C Catal - Computers and electronics in …, 2020 - Elsevier
Abstract Machine learning is an important decision support tool for crop yield prediction,
including supporting decisions on what crops to grow and what to do during the growing …
including supporting decisions on what crops to grow and what to do during the growing …
Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
Remote sensing for agricultural applications: A meta-review
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …
for human livelihood. Today, this role must be satisfied within a context of environmental …
Predictions of steel price indices through machine learning for the regional northeast Chinese market
B Jin, X Xu - Neural Computing and Applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
investors and the government. This study investigates the challenging topic of forecasting …
investors and the government. This study investigates the challenging topic of forecasting …
High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
Prediction of winter wheat yield based on multi-source data and machine learning in China
Wheat is one of the main crops in China, and crop yield prediction is important for regional
trade and national food security. There are increasing concerns with respect to how to …
trade and national food security. There are increasing concerns with respect to how to …
Prediction of field-scale wheat yield using machine learning method and multi-spectral UAV data
C Bian, H Shi, S Wu, K Zhang, M Wei, Y Zhao, Y Sun… - Remote Sensing, 2022 - mdpi.com
Accurate prediction of food crop yield is of great significance for global food security and
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …
regional trade stability. Since remote sensing data collected from unmanned aerial vehicle …