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 …

Smart textile‐integrated microelectronic systems for wearable applications

J Shi, S Liu, L Zhang, B Yang, L Shu, Y Yang… - Advanced …, 2020 - Wiley Online Library
The programmable nature of smart textiles makes them an indispensable part of an
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 …

Machine learning in agriculture: A review

KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis - Sensors, 2018 - mdpi.com
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 …

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 …

Predicting livestock behaviour using accelerometers: A systematic review of processing techniques for ruminant behaviour prediction from raw accelerometer data

L Riaboff, L Shalloo, AF Smeaton, S Couvreur… - … and Electronics in …, 2022 - Elsevier
Precision Technologies are emerging in the context of livestock farming to improve
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 …

[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 …

Data-driven decision support in livestock farming for improved animal health, welfare and greenhouse gas emissions: Overview and challenges

P Niloofar, DP Francis, S Lazarova-Molnar… - … and Electronics in …, 2021 - Elsevier
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 …

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 …