Machine learning applications for precision agriculture: A comprehensive review

A Sharma, A Jain, P Gupta, V Chowdary - IEEE Access, 2020 - ieeexplore.ieee.org
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …

Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

M Torky, AE Hassanein - Computers and Electronics in Agriculture, 2020 - Elsevier
Blockchain quickly became an important technology in many applications of precision
agriculture discipline. The need to develop smart P2P systems capable of verifying …

Minimizing water and nutrient losses from soilless cropping in southern Europe

D Massa, JJ Magán, FF Montesano… - Agricultural water …, 2020 - Elsevier
In agriculture, soilless cropping represents the most suitable cultivation technique apt to
achieve a theoretical 100% efficiency of water and nutrient use. This is possible through a …

A dynamic risk assessment model to assess the impact of the coronavirus (COVID-19) on the sustainability of the biomass supply chain: A case study of a US biofuel …

Z Sajid - Renewable and sustainable energy reviews, 2021 - Elsevier
Abstract The novel coronavirus (COVID-19) is highly detrimental, and its death distribution
peculiarity has severely affected people's health and the operations of businesses. COVID …

Collection of data with drones in precision agriculture: Analytical model and LoRa case study

A Caruso, S Chessa, S Escolar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are autonomous devices employed as data collectors in
precision agriculture to support a large number of applications. These UAVs gather data …

Artificial intelligence-based decision support systems in smart agriculture: Bibliometric analysis for operational insights and future directions

A Yousaf, V Kayvanfar, A Mazzoni… - Frontiers in Sustainable …, 2023 - frontiersin.org
As the world population is expected to touch 9.73 billion by 2050, according to the Food and
Agriculture Organization (FAO), the demand for agricultural needs is increasing …

Smart farming prediction models for precision agriculture: a comprehensive survey

DK Kwaghtyo, CI Eke - Artificial Intelligence Review, 2023 - Springer
Considering the variability of the farming resources such as soil, fertilizer and weather
conditions including crops. Proper utilization of these resources for high yield is paramount …

Artificial intelligence approaches to predict growth, harvest day, and quality of lettuce (Lactuca sativa L.) in a IoT-enabled greenhouse system

CL Chang, SC Chung, WL Fu, CC Huang - Biosystems Engineering, 2021 - Elsevier
Highlights•Collect data during commercial production of greenhouse lettuce based on
IoT.•Use artificial intelligence approach to predict growth parameters in real …

Dynamically controlled environment agriculture: Integrating machine learning and mechanistic and physiological models for sustainable food cultivation

AR Cohen, G Chen, EM Berger, S Warrier… - ACS ES&T …, 2021 - ACS Publications
Inefficiencies and imprecise input control in agriculture have caused devastating
consequences to ecosystems. Urban controlled environment agriculture (CEA) is a …

Fertigation management for sustainable precision agriculture based on Internet of Things

N Lin, X Wang, Y Zhang, X Hu, J Ruan - Journal of Cleaner Production, 2020 - Elsevier
Abstract Internet of Things (IoT) has played a key role in developing sustainable precision
agriculture. This study addresses water and fertilizer allocation issues derived from the IoT …