IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

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 …

[HTML][HTML] A predictive analytics model for crop suitability and productivity with tree-based ensemble learning

IK Nti, A Zaman, O Nyarko-Boateng, AF Adekoya… - Decision Analytics …, 2023 - Elsevier
The increasing global population has heightened the importance of agriculture and the need
for food security. This study focuses on developing and evaluating tree-based ensemble …

Classification and yield prediction in smart agriculture system using IoT

A Gupta, P Nahar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The modern agriculture industry is data-centred, precise and smarter than ever. Advanced
development of Internet-of-Things (IoT) based systems redesigned “smart agriculture”. This …

Future food production prediction using AROA based hybrid deep learning model in agri-sector

S Baswaraju, VU Maheswari, K Chennam… - Human-Centric …, 2023 - Springer
Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …

[PDF][PDF] Research methods in machine learning: A content analysis

J Kamiri, G Mariga - … of Computer and Information Technology (2279 …, 2021 - academia.edu
Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …

Crop prediction using machine learning

MS Rao, A Singh, NVS Reddy… - Journal of Physics …, 2022 - iopscience.iop.org
For most developing countries, agriculture is their primary source of revenue. Modern
agriculture is a constantly growing approach for agricultural advances and farming …

AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns

P Sharma, P Dadheech, AVSK Senthil - Artificial Intelligence Tools …, 2023 - igi-global.com
Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …

Crop classification and prediction based on soil nutrition using machine learning methods

T Swathi, S Sudha - International Journal of Information Technology, 2023 - Springer
In India, farmers generally grow a traditional crop or the crop that is in demand resulting in
poor yield. In the former case, the nutritional value of the soil gets deteriorated due to the …

Explainable AI for soil fertility prediction

H Chandra, PM Pawar, R Elakkiya… - IEEE …, 2023 - ieeexplore.ieee.org
Soil fertility refers to the ability of soil in a particular area to provide favorable chemical,
physical and biological characteristics that help the plant in its growth. It is affected by …