Results 171 to 180 of about 5,876 (256)
Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review. [PDF]
Nsoh B +10 more
europepmc +1 more source
This article examines how the health sector can be systematically integrated into NDCs to address climate risks. It identifies persistent challenges such as weak data, finance gaps, and institutional fragmentation, while highlighting opportunities in co‐benefits, resilient infrastructure, and cross‐sectoral collaboration.
Samwel Manyele, Honest Anicetus
wiley +1 more source
TerraGrow: Integrated platform for real time plant monitoring and automated watering system with IoT and fuzzy Sugeno Algorithm. [PDF]
Wijayakusuma P, Nurani Hakim GP, Li B.
europepmc +1 more source
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar +9 more
wiley +1 more source
Sustainable Smart Irrigation System (SIS) using solar PV with rainwater harvesting technique for indoor plants. [PDF]
Islam SZ +6 more
europepmc +1 more source
IOT BASED SMART IRRIGATION MONITORING AND CONTROLLING SYSTEM
openaire +1 more source
ABSTRACT Given increasing water scarcity, the need to reduce chemical inputs, and the growing demand for nutritionally valuable vegetable oils, identifying sustainable cropping systems for camelina production has become increasingly important. This study aimed to evaluate the combined effects of nitrogen application, irrigation regimes (irrigated and ...
Shahzad Jamaati Somarin +3 more
wiley +1 more source
Intelligent and automatic irrigation system based on internet of things using fuzzy control technology. [PDF]
Liu X, Zhao Z, Rezaeipanah A.
europepmc +1 more source
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour +2 more
wiley +1 more source
Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. [PDF]
Mansoor S +5 more
europepmc +1 more source

