Machine learning applications for precision agriculture: A comprehensive review
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 …
population, frequent changes in climatic conditions and limited resources, it becomes a …
Smart textile‐integrated microelectronic systems for wearable applications
The programmable nature of smart textiles makes them an indispensable part of an
emerging new technology field. Smart textile‐integrated microelectronic systems (STIMES) …
emerging new technology field. Smart textile‐integrated microelectronic systems (STIMES) …
[HTML][HTML] The role of sensors, big data and machine learning in modern animal farming
S Neethirajan - Sensing and Bio-Sensing Research, 2020 - Elsevier
Ever since man began domesticating animals several thousand years ago, we have always
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
relied on our intuition, collective knowledge, and sensory signals to make effective animal …
Machine learning in agriculture: A review
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …
to create new opportunities for data intensive science in the multi-disciplinary agri …
Precision agriculture for crop and livestock farming—Brief review
A Monteiro, S Santos, P Gonçalves - Animals, 2021 - mdpi.com
Simple Summary Precision agriculture has the potential to contribute to the broader
objective of meeting the growing demand for food, ensuring the sustainability of primary …
objective of meeting the growing demand for food, ensuring the sustainability of primary …
Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data
Precision Technologies are emerging in the context of livestock farming to improve
management practices and the health and welfare of livestock through monitoring individual …
management practices and the health and welfare of livestock through monitoring individual …
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review
W Li, T Zheng, Z Yang, M Li, C Sun, X Yang - Ecological Informatics, 2021 - Elsevier
Insect pest is one of the main causes affecting agricultural crop yield and quality all over the
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …
[HTML][HTML] Modelling the smart farm
MJ O'Grady, GMP O'Hare - Information processing in agriculture, 2017 - Elsevier
Smart farming envisages the harnessing of Information and Communication Technologies
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
as an enabler of more efficient, productive, and profitable farming enterprises. Such …
Data-driven decision support in livestock farming for improved animal health, welfare and greenhouse gas emissions: Overview and challenges
Abstract Precision Livestock Farming (PLF) is a concept that allows real-time monitoring of
animals, by equipping them with sensors that surge livestock-related data to be further …
animals, by equipping them with sensors that surge livestock-related data to be further …
Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming
LO Tedeschi, PL Greenwood… - Journal of Animal …, 2021 - academic.oup.com
Remote monitoring, modern data collection through sensors, rapid data transfer, and vast
data storage through the Internet of Things (IoT) have advanced precision livestock farming …
data storage through the Internet of Things (IoT) have advanced precision livestock farming …