Challenges to use machine learning in agricultural big data: a systematic literature review
Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …
new data era. In conjunction with machine learning, farmers can use data to address …
Use and adaptations of machine learning in big data—Applications in real cases in agriculture
A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
Placement and drone flight path mapping of agricultural soil sensors using machine learning
Accurate soil data, which can be collected with agricultural sensors spaced at the half-
variogram range, is crucial information for precision agriculture. Drones offer a unique …
variogram range, is crucial information for precision agriculture. Drones offer a unique …
Technologies driving the shift to smart farming: A review
N ElBeheiry, RS Balog - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As today's agriculture industry is facing numerous challenges, including climate changes,
encroachment of the urban environment, and lack of qualified farmers, there is a need for …
encroachment of the urban environment, and lack of qualified farmers, there is a need for …
Agricultural social networks: An agricultural value chain-based digitalization framework for an inclusive digital economy
Sustainable agriculture is the backbone of food security systems and a driver of human well-
being in global economic development (Sustainable Development Goal SDG 3). With the …
being in global economic development (Sustainable Development Goal SDG 3). With the …
Data type and data sources for agricultural big data and machine learning
Sustainable agriculture is currently being challenged under climate change scenarios since
extreme environmental processes disrupt and diminish global food production. For example …
extreme environmental processes disrupt and diminish global food production. For example …
Smart farming technologies for sustainable agriculture: From food to energy
B Güven, İ Baz, B Kocaoğlu, E Toprak… - A sustainable green …, 2023 - Springer
Sustainable agriculture covers environmentally friendly farming methods that preserve an
ecological balance by avoiding depletion of natural resources. From the environmental point …
ecological balance by avoiding depletion of natural resources. From the environmental point …
谷物中重金属来源, 检测技术及膳食风险研究进展.
李俊生， 郭小瑞， 綦峥 - Journal of Food Safety & Quality, 2023 - search.ebscohost.com
随着工业化的快速发展, 谷物作为人类主要的食物来源之一, 受到重金属污染的风险日益加剧.
其中, 铅, 镉, 铬, 砷和汞等重金属对人体健康有潜在的危害, 长期随谷物摄入可能导致中毒和慢性 …
其中, 铅, 镉, 铬, 砷和汞等重金属对人体健康有潜在的危害, 长期随谷物摄入可能导致中毒和慢性 …
IoT enabled technologies in smart farming and challenges for adoption
Technologies are transforming the universe with the help of digitalization, where IoT is
leading in digitalization in almost every field such as health care, agriculture, livestock …
leading in digitalization in almost every field such as health care, agriculture, livestock …
A Review on the State of the Art in Copter Drones and Flight Control Systems
J Peksa, D Mamchur - Sensors, 2024 - mdpi.com
This paper presents an overview on the state of the art in copter drones and their
components. It starts by providing an introduction to unmanned aerial vehicles in general …
components. It starts by providing an introduction to unmanned aerial vehicles in general …