To assess the effect of non chemical management of weed control on forage Sorghum (Sorghum bicolor) a field study was conducted in Varamin, Iran during 2010 crop year in a three- replicated- split factorial experiment laid out in randomized complete block design with four weeding levels (W1= one time cultivation at 3-leaf stage using a duck foot cultivator, W2<...

To assess the effect of non chemical management of weed control on forage Sorghum (Sorghum bicolor) a field study was conducted in Varamin, Iran during 2010 crop year in a three- replicated- split factorial experiment laid out in randomized complete block design with four weeding levels (W1= one time cultivation at 3-leaf stage using a duck foot cultivator, W2<...

The aim of the study was to determine effect mechanical and chemical treatments with application biostimulants on effectiveness weed infestation reduction potato yielding. A three-year field research conducted at Agricultural Experimental Station Zawady (52°03? N; 22°33? E). experiment set up in a split-plot design three replicates. first factor two edible cultivars, second five methods biostim...

Stale seedbeds are used by organic growers to reduce weed populations prior to crop planting. Ryemulches, derived from mechanically killed (rolled and crimped) winter rye cover crops, can serve the same purpose for spring-planted organic crops. Both methods can also be employed by conventional growers who face looming problems with herbicide resistant weeds. The objective of this research was t...

Weeds compete with crops for water, nutrients, and light consequently, have adverse effects on the crop yield overall productivity. Mechanical weeding is most common non-chemical method weed control, which applied in organic farming, cultivator implement mechanical weeding. This study aimed to design develop an innovative active tool optimize cultivation depth, can avoid damage roots improve ke...

This paper presents a mechanical control method for precise weeding based on deep learning. Deep convolutional neural network was used to identify and locate weeds. A special modular weeder designed, which can be installed the rear of mobile platform. An inverted pyramid-shaped tool equipped in shovel out weeds without being contaminated by soil. The weed detection implemented an embedded syste...

Development of an autonomous weeding machine requires a vision system capable of detecting and locating the position of the crop. It is important for the vision system to be able to recognize the accurate position of the crop stem to be protected during weeding. Several shape features of corn plants and common weed species in the location were extracted by means of morphological operations. Eff...

&lt;span&gt;In precision farming, identifying weeds is an essential first step in planning integrated pest management program cereals. By knowing the species present, we can learn about types of herbicides to use control them, especially non-weeding crops where mechanical methods that are not effective (tillage, hand weeding, and hoeing mowing). Therefore, using deep learning based on convoluti...