Precision irrigation management using machine learning and digital farming solutions

EA Abioye, O Hensel, TJ Esau, O Elijah, MSZ Abidin… - AgriEngineering, 2022 - mdpi.com
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …

A systematic review of IoT solutions for smart farming

E Navarro, N Costa, A Pereira - Sensors, 2020 - mdpi.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Deep convolutional neural network based detection system for real-time corn plant disease recognition

S Mishra, R Sachan, D Rajpal - Procedia Computer Science, 2020 - Elsevier
Corn is one of the most popular food grains in the India and crop loss due to diseases
substantially affects the Indian economy and threatens the food availability. Recent access …

Corn leaf diseases diagnosis based on K-means clustering and deep learning

H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …

Convolutional neural network based tea leaf disease prediction system on smart phone using paas cloud

MG Lanjewar, KG Panchbhai - Neural Computing and Applications, 2023 - Springer
Abstract Machine learning (ML) and cloud computing are modern and fast-growing areas
across all domains of applications. In agriculture, automated detection and diagnosis of …

Identification of tea leaf diseases by using an improved deep convolutional neural network

G Hu, X Yang, Y Zhang, M Wan - Sustainable Computing: Informatics and …, 2019 - Elsevier
Accurate and rapid identification of tea leaf diseases is beneficial to their prevention and
control. This study proposes a method based on an improved deep convolutional neural …

A comprehensive review of Data Mining techniques in smart agriculture

HA Issad, R Aoudjit, JJPC Rodrigues - Engineering in Agriculture …, 2019 - jstage.jst.go.jp
Agriculture remains a vital sector for most countries. It presents the main source of food for
the population of the world. However, it faces a big challenge: producing more and better …

[HTML][HTML] Smart irrigation system based on IoT and machine learning

Y Tace, M Tabaa, S Elfilali, C Leghris, H Bensag… - Energy Reports, 2022 - Elsevier
Traditional agriculture has been the pillar of development on the planet for centuries. But
with exponential population growth and increasing demand, farmers will need water to …

Optimized deep residual network system for diagnosing tomato pests

H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - … and Electronics in …, 2022 - Elsevier
Tomato production is often threatened by the bites of several pests (mainly whiteflies and
cotton bollworms). Pests exist throughout the tomato growing season, and it is necessary to …