Nanofarming: Promising solutions for the future of the global agricultural industry

H El-Ramady, N Abdalla, D Sári, A Ferroudj, A Muthu… - Agronomy, 2023 - mdpi.com
The agricultural sector is a vital source of human well-being that provides the necessities of
daily life. A variety of farming systems are utilized in agriculture, such as a wide range of …

[HTML][HTML] Advancements in techniques used for identification of pesticide residue on crops

T Thorat, BK Patle, M Wakchaure, L Parihar - Journal of Natural Pesticide …, 2023 - Elsevier
Nowadays, to enhance the agricultural productivity of fruits and vegetables, they are sprayed
with excess pesticides. The excess pesticides do not wear off even after washing and can be …

Technological innovations for agricultural production from an environmental perspective: a review

PV Méndez-Zambrano, LP Tierra Pérez… - Sustainability, 2023 - mdpi.com
Information and communication technology (ICT) in developing countries is a key element
for growth and economic development. This work conducted an evaluation regarding the …

[HTML][HTML] Machine learning based recommendation of agricultural and horticultural crop farming in India under the regime of NPK, soil pH and three climatic variables

B Dey, J Ferdous, R Ahmed - Heliyon, 2024 - cell.com
Abstract Machine learning (ML) can make use of agricultural data related to crop yield under
varying soil nutrient levels, and climatic fluctuations to suggest appropriate crops or …

Intelligent Fault Diagnosis for AIT based Smart Farming Applications

G Kaur, M Bhattacharya - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In today's era, the artificial intelligence of things (AIT) has revolutionized every sphere of
human life. Artificial intelligence (AI) approaches can effectively manage the heterogeneity …

[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications

S Ghazal, A Munir, WS Qureshi - Artificial Intelligence in Agriculture, 2024 - Elsevier
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

Nutrient recovery from anaerobic digestate: Fertilizer informatics for circular economy

K Chojnacka, M Chojnacki - Environmental Research, 2023 - Elsevier
This study explores the integration of fertilizer informatics into the circular economy, with a
focus on enhancing nutrient recovery from anaerobic digestate. It utilizes advanced …

Analysis of crop prediction models using data analytics and ML techniques: a review

SD Shingade, RP Mudhalwadkar - Multimedia Tools and Applications, 2024 - Springer
One of the essential fields contributing to a nation's development is Agriculture. An efficient
recommendation of crops is essential for strategic plan determination in the agricultural …

[PDF][PDF] An extensive survey of smart agriculture technologies: Current security posture

M Otieno - World J. Adv. Res. Rev, 2023 - researchgate.net
Smart agriculture, enabled by advanced technologies such as internet of things, artificial
intelligence and data analytics, offers immense potential for optimizing farming practices and …

[HTML][HTML] Enhancing Precision Agriculture: A Comprehensive Review of Machine Learning and AI Vision Applications in All-Terrain Vehicle for Farm Automation

M Padhiary, D Saha, R Kumar, LN Sethi… - Smart Agricultural …, 2024 - Elsevier
The automation of all-terrain vehicles (ATVs) through the integration of advanced
technologies such as machine learning (ML) and artificial intelligence (AI) vision has …