Data type and data sources for agricultural big data and machine learning

A Cravero, S Pardo, P Galeas, J López Fenner… - Sustainability, 2022 - mdpi.com
Sustainable agriculture is currently being challenged under climate change scenarios since
extreme environmental processes disrupt and diminish global food production. For example …

Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review

A Cravero, A Bustamante, M Negrier, P Galeas - Sustainability, 2022 - mdpi.com
Climate change is currently one of agriculture's main problems in achieving sustainability. It
causes drought, increased rainfall, and increased diseases, causing a decrease in food …

Machine Learning Algorithm for Soil Analysis and Classification of Micronutrients in IoT‐Enabled Automated Farms

T Blesslin Sheeba, LDV Anand… - Journal of …, 2022 - Wiley Online Library
The available nutrient status of the mulberry gardens in the districts of Tamil Nadu is
analyzed and evaluated to find the status. In this work, the soil is classified based on the test …

[PDF][PDF] Soil analysis and crop fertility prediction using machine learning

J Yadav, S Chopra, M Vijayalakshmi - Machine Learning, 2021 - academia.edu
Soil is a critical part of successful agriculture and is the source of the nutrients that we use to
grow crops. There are different types of soil and there are different properties of each soil …

A connected farm metamodeling using advanced information technologies for an agriculture 4.0

L Rabhi, B Jabir, N Falih, L Afraites… - AGRIS on-line …, 2023 - ageconsearch.umn.edu
The agriculture 4.0 revolution is an opportunity for farmers to meet the challenges in food
production. It has become necessary to adopt a set of agricultural practices based on …

Enhancing agriculture production through smart assessment of soil nutrients

K Purohit, A Kumar Singh… - Journal of Crop …, 2024 - Taylor & Francis
The growth of the world population is leading to an increased demand for food production.
Consequently, there is a need to update agricultural processes to enhance production …

Artificial intelligence techniques for the pest detection in banana field: a systematic review

S Nasim, M Rashid, SA Syed, I Brohi - Pakistan Journal of Biotechnology, 2023 - pjbt.org
Purpose: This systematic review details the diseases that influence banana production and
their detection. A common method for identifying plant diseases in plants is image …

[PDF][PDF] Finite automata model for leaf disease classification

VT Krishnaprasath, J Preethi - Agricultural …, 2021 - agricecon.agriculturejournals.cz
In this modern era, the detection of plant disease plays a vital role in the sustainability of
agricultural ecosystem. Today, India being second in farming, well-timed information related …

Data Analytics in Agriculture

AC Leal - Digital Agriculture: A Solution for Sustainable Food and …, 2024 - Springer
Food security is a crucial global need, threatened by population growth, climate change, and
decreasing arable land. Data-driven agriculture is the most promising approach to solving …

Revolutionizing Farming: Iot-Enabled Organic Carbon Detection For Enhanced Agricultural Practices.

SJ Narayan - Journal of Advanced Zoology, 2024 - search.ebscohost.com
The integration of the Internet of Things (IoT) has brought about transformative changes
across diverse industries, and its application in agriculture, particularly in soil management …