Results 131 to 140 of about 2,499,201 (294)

Land gradient and configuration effects on yield, irrigation amount and irrigation water productivity in rice-wheat and maize-wheat cropping systems in Eastern India.

Agric Water Manag, 2021
Devkota KP, Yadav S, Humphreys E, Kumar A, Kumar P, Kumar V, Malik RK, Srivastava AK.   +7 more
europepmc   +1 more source

Improving Agricultural Irrigation on the Balkhab River, Afghanistan [PDF]

In Afghanistan, where 80% of the population is rural, irrigated agriculture is important for satisfying subsistence needs. While most of the irrigated agriculture is fed by diversion canal systems which tap surface flows, legal and physical water ...
Halimi, Ghulam Hazrat, Lee, John G., Mitchell, Peter, Carver, Andrew, Reeling, Carson J.   +4 more
core  

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source

The effect of irrigation amounts on growth, yield and water use efficiency of different varieties of tigernut

Guan'gai paishui xuebao
【Objective】 Tiger nut is a cash crop in southern Xinjiang and its production relies on irrigation. This paper presents the results of an experimental study on the effect of irrigation amounts on physiological traits, yield, and water use efficiency of ...
YIN Zi, WANG Xingpeng, ZHANG Lei, ZHAO Fengnian, LI Mingfa, WANG Hongbo   +5 more
doaj   +1 more source

Determining Irrigation Frequency and Water Amount for Irrigated Wheat Production in Amibara, Afar Region, Ethiopia

Abstract Irrigation water management is crucial for enhancing wheat production in Ethiopia, especially in lowland regions like Amibara, where salinity and improper irrigation practices affect crop yields. This study was conducted at Werer Agricultural Research Center to determine the optimal irrigation frequency and amount that enhances water ...
Jemal Mohammed Hassen, Fikadu Robi Borana   +1 more
openaire   +1 more source

IRRIGATION PRODUCTION FUNCTIONS WITH WATER-CAPITAL SUBSTITUTION [PDF]

The dynamics of biomass growth implies that the yield of irrigated crops depends, in addition to the total amount of water applied, on irrigation scheduling during the growing period. Advanced irrigation technologies relax constraints on irrigation rates
Zilberman, David, Tsur, Yacov, Shani, Uri, Zemel, Amos   +3 more
core  

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Technical conference on irrigation, drainage and flood control [PDF]

, 1999
Presented at Contemporary challenges for irrigation and drainage: proceedings from the USCID 14th technical conference on irrigation, drainage and flood control held on June 3-6, 1998 in Phoenix, Arizona.Sponsored by U.S.
Anderson, Susan S., editor, Burns, Joseph I., editor, U.S. Committee on Irrigation and Drainage, publisher   +2 more
core  

AI‐Enabled RGB Light‐to‐Frequency Sensor for Nondestructive Salinity Stress Monitoring in Medicinal Plants

Advanced Intelligent Systems, EarlyView.
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad, Vinie Lee Silva‐Alvarado, Arman Heydari, Sandra Sendra, Jaime Lloret   +4 more
wiley   +1 more source

Central Plains irrigation short course and exposition proceedings

, 1998
Presented at the Central Plains irrigation short course and exposition on February 17-18, 1998 at the Camino Inn in North Platte, Nebraska.Computing field losses for furrow irrigation -- Design and management considerations for subsurface drip irrigation
Central Plains Irrigation Conference, author
core