Challenges to use machine learning in agricultural big data: a systematic literature review

A Cravero, S Pardo, S Sepúlveda, L Muñoz - Agronomy, 2022 - mdpi.com
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 …

Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review

S Pokhariyal, NR Patel, A Govind - Agronomy, 2023 - mdpi.com
In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

Artificial intelligence in postharvest agriculture: mapping a research agenda

T Fadiji, T Bokaba, OA Fawole… - Frontiers in Sustainable …, 2023 - frontiersin.org
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …

[HTML][HTML] Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: A review

S Shubhika, P Patel, R Singh, A Tripathi, S Prajapati… - Plant Stress, 2024 - Elsevier
Agriculture provides basic livelihood for a large section of world's population. It is the oldest
economic activity in India, with two third of Indian population involved in crop production …

Detection of the Grassland Weed Phlomoides umbrosa Using Multi-Source Imagery and an Improved YOLOv8 Network

B Guo, S Ling, H Tan, S Wang, C Wu, D Yang - Agronomy, 2023 - mdpi.com
Grasslands are the mainstay of terrestrial ecosystems and crucial ecological barriers,
serving as the foundation for the development of grassland husbandry. However, the …

[PDF][PDF] Olive trees cases classification based on deep convolutional neural network from unmanned aerial vehicle imagery

NA Sehree, AM Khidhir - Indonesian Journal of Electrical …, 2022 - academia.edu
Unmanned aerial vehicles (UAVs) are one of the various aerial remote sensing platforms
with ease of use and cost-effectiveness it can deliver highresolution imaging, obtained using …

Spectral sensor‐based device for real‐time detection and severity estimation of groundnut bud necrosis virus in tomato

K Kumari, R Parray, YB Basavaraj… - Journal of Field …, 2025 - Wiley Online Library
A machine learning‐based approach was utilized to develop a device for groundnut bud
necrosis virus (GBNV) disease severity detection and estimation in tomato plants (Solanum …

Detection and classification of plant leaf diseases using digtal image processing methods: a review

L Mohammed, Y Yusoff - ASEAN Engineering Journal, 2023 - journals.utm.my
Prediction and classification of plant leaf illnesses by farmers using conventional
approaches can be unexciting and erroneous. Problems may occur while trying to predict …

Mapping fruit tree dynamics using phenological metrics from optimal Sentinel-2 data and Deep Neural Network

Y Chabalala, E Adam, M Kganyago - CABI Agriculture and Bioscience, 2023 - Springer
Accurate and up-to-date crop-type maps are essential for efficient management and well-
informed decision-making, allowing accurate planning and execution of agricultural …